KR102193898B1 - Method and system for evaluating forest-healing program - Google Patents

Abstract

A forest healing program evaluation method and a forest healing program evaluation system are disclosed. A method for evaluating a forest healing program according to an embodiment of the present invention includes measuring multiple bio-signals by a sensor attached to a patient, and analyzing the measured values of the multiple bio-signals according to the implementation of the forest healing program, The step of calculating a score for each function for each function related to the patient's health status, and comparing the score for each function with a prior score for each function according to multiple biological signals measured before the execution of the forest healing program, and the health status is improved. And selecting the first function, and providing an evaluation result for the forest healing program by using the selected first function.

Description

Forest healing program evaluation method and forest healing program evaluation system {METHOD AND SYSTEM FOR EVALUATING FOREST-HEALING PROGRAM}

The present invention relates to a technique for evaluating the effect of a forest healing program (forest activity) based on multiple biological signals.

In general, forest activities are known to have effects such as disease improvement, stress relief and health promotion.

According to existing studies on the effects of forest activities, lifestyle habits and positive emotions are improved through forest activities (Russell & Mehrabian, 1976), and stress is relieved (Singer & Baum, 1982; Ulrich & Simon, 1986). It has been reported to have an effect of improving the function of the parasympathetic nervous system (Ulrich, Dimberg & Drive, 1991).

In this regard, the effect of contact with wood on the living body (Miyazaki et al., 1999), evaluation of the effect of scent stress relief on cortisol in blood and saliva (Hosoi et al., 2002), and improvement of blood melatonin concentration (Jong-hwan Choi, Park Gwi-yong, 2010), etc. were presented.

In particular, forest activities have been reported to have a significant effect on the elderly and dementia patients.

In this regard, a study on the effects of forest healing programs on self-esteem, depression and life satisfaction of the elderly in nursing homes (Yeong-soon Lim, 2014) analyzes that the self-esteem and depression of the elderly are improved by forest activities.

In addition, a study on the development of a nature-friendly integrated program for the elderly with mild cognitive impairment and analysis of the effects (Chang-mi Kim, 2017) reported that forest activity showed significant improvement in the brain and cognitive functions of the elderly with mild cognitive impairment. Are doing.

In addition, studies that show that forest activities can be expected to improve movement skills and improve dementia symptoms necessary for life of the elderly with dementia (Tetsu Maeda et al., 2010) are also being proposed.

Thanks to these studies, the healthcare industry is implementing various forest healing programs for the purpose of treating patients. However, in the past, evaluation methods that can evaluate the effectiveness of forest healing programs include cortisol, PPG, blood biomarker changes, It is limited to sporadic and fragmentary methods such as questionnaires.

Accordingly, there is a need for a technology capable of maximizing the forest healing effect by evaluating the forest healing effect in a reliable and concrete manner, such as general drug treatment or surgical treatment, and reflecting the evaluation result.

An embodiment of the present invention aims to maximize a forest healing effect by evaluating the health improvement effect of a forest healing program (forest activity) based on multiple biological signals measured from a patient.

An embodiment of the present invention aims to provide an evaluation result of determining in detail whether a forest healing program conducted to a patient has an improvement effect by analyzing a patient's health status by selecting two or more biological signals for each function.

An embodiment of the present invention aims to enhance the forest healing effect by analyzing multiple biological signals measured from a patient in a complex manner, and feeding back improvements to a next forest healing program or recommending a new forest healing program.

A method for evaluating a forest healing program according to an embodiment of the present invention includes measuring multiple bio-signals by a sensor attached to a patient, and analyzing the measured values of the multiple bio-signals according to the implementation of the forest healing program, The step of calculating a score for each function for each function related to the patient's health status, and comparing the score for each function with a prior score for each function according to multiple biological signals measured before the execution of the forest healing program, and the health status is improved. The step of selecting the first function, and using the selected first function, may include providing an evaluation result for the forest healing program.

In addition, the forest healing program evaluation system according to an embodiment of the present invention, according to the implementation of the forest healing program, a measuring unit that measures multiple biological signals by a sensor attached to the patient, and analyzes the measured values of the multiple biological signals. Thus, the score for each function is calculated for each function related to the health condition of the patient, and the score for each function is compared with the prior score for each function according to the multiple biological signals measured before the execution of the forest healing program, so that the health status is improved. It may include an analysis unit that selects the selected first function, and a processing unit that provides an evaluation result for the forest healing program by using the selected first function.

According to an embodiment of the present invention, it is possible to evaluate the forest healing effect in real time in a non-invasive and simple method based on a multimodal bio-signal measuring device.

According to an embodiment of the present invention, through a wearable device worn by a patient, multiple bio-signals such as brain waves, eye movements, pulse waves, electrocardiograms, bio-impedance, and electromyography are measured to quantitatively and integrally measure the effect on the forest healing program. It can provide services for forest healing effects by analyzing them.

According to an embodiment of the present invention, it is possible to recommend a customized forest healing program according to the patient's constitution and health status, and to estimate the optimal timing at which the effect of the forest healing program appears by evaluating fatigue and activity.

According to an embodiment of the present invention, it is possible to reflect improvements in a forest healing program by giving real-time feedback on a treatment effect according to a forest healing program, and to improve the forest healing effect of a patient.

According to an embodiment of the present invention, since the health improvement effect of a forest healing program can be evaluated in a simple and reliable manner based on multiple biological signals, forest healing programs (forest activities) are promoted to patients and caregivers. It can be used to expand healing program work.

1 is a diagram showing a network including a forest healing program evaluation system according to an embodiment of the present invention.
2 is a block diagram showing an internal configuration of a system for evaluating a forest healing program according to an embodiment of the present invention.
3 is a view for explaining the entire process of evaluating a forest healing program in the forest healing program evaluation system according to an embodiment of the present invention.
4 is a diagram illustrating an example of determining a forest healing program to be implemented for a patient in the system for evaluating a forest healing program according to an embodiment of the present invention.
5 is a diagram illustrating an example of analysis for each function on a health condition in the system for evaluating a forest healing program according to an embodiment of the present invention.
6 is a diagram illustrating an example of providing an evaluation result of a forest healing program in the forest healing program evaluation system according to an embodiment of the present invention.
7 is a diagram illustrating a graph of an AUC value obtained by ROC analysis of a patient's EEG characteristic points in the system for evaluating a forest healing program according to an embodiment of the present invention.
8 is a flowchart illustrating a procedure of a method for evaluating a forest healing program according to an embodiment of the present invention.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings. However, since various changes may be made to the embodiments, the scope of the rights of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents, or substitutes to the embodiments are included in the scope of the rights.

The terms used in the examples are used for illustrative purposes only and should not be interpreted as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the embodiments, the detailed description thereof will be omitted.

The system for evaluating a forest healing program according to an embodiment of the present invention may evaluate and monitor the effect of each forest healing program according to an activity in the forest based on multiple bio-signals measured through a wearable device.

The forest healing program evaluation system uses a wearable activity tracker and a muscle fatigue measurement device to monitor the amount of activity, cardiopulmonary function, and muscle fatigue for forest activities in real time, and predicts the timing of optimizing the forest healing effect through a relative comparison between recovery of physical function and muscle fatigue. Can give.

The forest healing program evaluation system scores the numerical values of bio-signals measured in multiple bio-signal measuring devices (wearable devices), cognitive function, autonomic nervous response, vascular aging, muscle mass aging by body part, body composition aging, activity, and It is possible to evaluate whether improvement has been performed by various functions indicating health conditions such as cardiopulmonary function, muscle fatigue, and risk of metabolic disease.

The forest healing program evaluation system can determine the health status of patients according to age, sex, and constitution by function, based on the established standard distribution DB for each body function.

The forest healing program evaluation system additionally considers the patient's constitution, age, height, weight, and drug use, identifies the risk of each function according to the patient's health status, and recommends a customized forest healing program to improve the vulnerable functions of the patient. can do.

The forest healing program evaluation system can determine whether a patient's health status has improved by analyzing multiple biological signals associated with each function. For example, the forest healing program evaluation system uses at least one of EEG, eye tracker, and VR for cognitive function evaluation, and at least one of PPG, ECG, and radial artery pulse waves to evaluate autonomic nerve response and vascular aging. And, to evaluate the aging of muscle mass and body component aging by body part, one of NIRS and EMG can be used to evaluate muscle fatigue.

The forest healing program evaluation system additionally considers whether drugs such as blood pressure lowering agents and psychotropic drugs that interfere with the interpretation of vital signs such as pulse waves and brain waves are taken into account, and a customized forest healing program is recommended by more accurately determining the patient's health status. I can.

The forest healing program evaluation system can monitor the fluctuations of the patient's score for each function by measuring multiple biological signals in a complex manner, thereby providing feedback on the improvement of the forest healing program in which the patient participated.

The forest healing program evaluation system accumulates and evaluates the effects of the forest healing program previously conducted on the patient based on multiple biological signals, presenting a trend line of scores for each function, and recommending the next appropriate forest healing program according to the results. I can.

The Forest Healing Program Evaluation System can recommend a forest healing program specialized to the characteristics of each Sasang constitution to patients by additionally considering the patient's constitution. For example, in the forest healing program evaluation system, if the patient's sasang constitution is Soeumin or Taeyangin, weight is given to a forest healing program centered on breathing (e.g., Danjeon breathing), and in the case of Taeumin, a forest healing program centered on sweating (發汗). In the case of Soyangin, weight can be assigned to a forest healing program centered on walking.

1 is a diagram showing a network including a forest healing program evaluation system according to an embodiment of the present invention.

Referring to FIG. 1, the network 100 may include a forest healing program evaluation system 110, a wearable device 120, and a manager terminal 130.

1, the forest healing program evaluation system 110 may be implemented in the form of a server connected to the wearable device 120 and the network 110, but may be implemented inside the wearable device 120 according to the embodiment. May be.

The wearable device 120 is a device for measuring multiple biological signals from a patient, and includes at least one measuring device (sensor) among an EEG meter, an impedance meter, a pulse wave meter, an EMG and infrared spectrum analyzer, an eye movement meter, and a VR meter. Can be configured.

The manager terminal 130 may be a computer terminal that monitors and manages the overall forest healing program implemented to patients.

The forest healing program evaluation system 110 can evaluate the forest healing program (forest activity) conducted to the patient by grasping the complex health status of the patient by function based on the patient's multiple biological signals measured from the wearable device 120. In addition, the forest healing effect can be improved by feeding the results of the evaluation of the forest healing program to the next forest healing program to be carried out to patients.

Specifically, the forest healing program evaluation system 110 considers at least one of the patient's pre-test results (eg, functions with weak health conditions), age, sex, constitution, and whether or not to take drugs, and establishes a forest healing program that is optimal for the patient. Can be done on the patient (step 1). In this case, the wearable device 120 may operate as a device that performs a forest healing program to a patient.

For example, the forest healing program evaluation system 110 may guide the patient through the wearable device 120 to select'Cypress Forest Walk' as a patient-customized forest healing program, and perform the'Cypsy Forest Walk' for approximately 1 hour. .

The forest healing program evaluation system 110 may measure two or more of multiple bio-signals among brain waves, pulse waves, electrocardiogram, eye movement, bio-impedance, and electromyography of a patient who has performed the forest healing program through the wearable device 120 (step 2).

At this time, the forest healing program evaluation system 110 may periodically measure multiple biological signals during the execution of the forest healing program through the wearable device 120, and the effect (improvement effect) is optimized after performing the forest healing program. Multiple bio-signals can be measured at a certain point in time.

Here, a certain point in time when the effect is optimized is the point at which the maximum score for each function is calculated when the patient is subjected to a forest healing program, and the forest healing program evaluation system 110 repeatedly executes the forest healing program to perform a machine learning method. According to this, it is possible to determine (predict) a certain point at which the effect is optimized for a specific patient.

The forest healing program evaluation system 110 may evaluate whether the implemented forest healing program is effective in improving the patient's health condition based on the measured values of multiple biological signals, and may provide the evaluation result to the manager terminal 130 ( Step 3).

As an example, the forest healing program evaluation system 110 compares the score for each function calculated according to the measured values of multiple biological signals with the prior score for each function calculated before the execution of the forest healing program. It can be evaluated in detail.

For example, the forest healing program evaluation system 110 determines whether or not the patient's cognitive function has improved after performing the'Cypress Forest Walk', the degree to which it has improved, whether or not to continuously perform the'Cypress Forest Walk' and scores for each function. Including, it is possible to create an evaluation result for'walking in the cypress forest' and provide it to the manager terminal 130.

The forest healing program evaluation system 110 considers the evaluation results and reflects the improvements (e.g., increased to about 2 hours) in the next forest healing program to be implemented, or recommends a new program if the health condition has not improved. To give feedback (step 4).

In this case, the forest healing program evaluation system 110 may recommend an appropriate forest healing program according to the accumulated forest healing effect of the patient based on the previously established database.

For example, the forest healing program evaluation system 110 is a forest healing program (forest activity) for improving cognitive function of dementia patients, and may recommend acupuncture stimulation (moxibustion, acupressure, moxibustion), and acupoint stimulation. .

In addition, the forest healing program evaluation system 110 includes meditation programs such as meditation, danjeon breathing, and talking to nature for stress relaxation (vase relaxation), walking, walking to stimulate acupuncture points, and walking in cypress forest. Recommend a forest healing program at

In addition, the forest healing program evaluation system 110 may recommend a forest healing program, such as acupuncture stimulation or massage, for a function of improving muscles for each site.

2 is a block diagram showing an internal configuration of a system for evaluating a forest healing program according to an embodiment of the present invention.

Referring to FIG. 2, a forest healing program evaluation system 200 according to an embodiment of the present invention may include a measurement unit 210, an analysis unit 220, and a processing unit 230. In addition, according to the embodiment, the forest healing program evaluation system 200 may be configured by adding a pre-test unit 240 and a control unit 250, respectively.

The measurement unit 210 measures multiple biological signals by a sensor attached to the patient according to the implementation of the forest healing program.

For example, when a forest healing program is performed for a patient, the measurement unit 210 uses a wearable device worn by the patient, EEG, eye tracker, VR, PPG, ECG, radial artery pulse wave, impedance, POCT, activity. It is possible to measure multiple bio-signals of two or more of tracker, NIR and EMG.

Here, the forest healing program is a program that can expect a therapeutic effect to the patient through forest activities, such as moxibustion, acupressure, or acupuncture stimulation such as moxibustion, walking that is acupressure, walking in the cypress forest, meditation, danjeon breathing (or Taijiquan), nature For example, talking to each other and massaging for each part.

According to an embodiment, the forest healing program evaluation system 200 may be configured by adding a pre-test unit 240 and a control unit 250, respectively.

The pre-test unit 240 compares a value measured when at least one of a questionnaire test, a vital sign test, a blood test, a saliva test, and a urine test is performed with a standard distribution prepared for each function.

The control unit 250 performs a forest healing program related to a function deviating from the standard distribution by a threshold value or more for the patient.

At this time, the control unit 250 further considers at least one patient information of height, weight, sex, age, and medication taken, and at least one type information of Sasang constitution, cold constitution, and personality test, and executes the forest healing program. can do.

That is, the control unit 250 performs a forest healing program to improve the vulnerable functions of the patient in consideration of the pretest results, but can select and implement a forest healing program that is optimal for the patient's condition in consideration of the drug or constitution the patient is taking. have.

For example, referring to FIG. 4, for patients A and B, which are confirmed to have weak cognitive function as a result of a pre-test, in consideration of their constitution, the control unit 250 has a respiratory-centered forest healing program ( For example, Danjeon breathing, meditation) can be performed, and a walking-centered forest healing program (eg, acupuncture stimulation walking, cypress forest walking) can be performed for patient B with a Sasang constitution.

In particular, in the case of patients taking blood pressure lowering drugs and psychotropic drugs, the interpretation of biological signals such as pulse waves and brain waves may be disturbed. Therefore, the controller 250 selects a forest healing program that is optimal for the patient's condition in consideration of drug dose information. You can do it.

The analysis unit 220 analyzes the measured values of the multiple biological signals, calculates a score for each function for each function related to the patient's health status, and calculates the score for each function, and the multiple biological signals measured before execution of the forest healing program. Compared with the prior scores for each function according to the signal, the first function with improved health status is selected.

As an example, the analysis unit 220 selects two or more biological signals among EEG, eye tracker, and VR to analyze cognitive function, and analyzes autonomic nerve response and vascular aging, PPG, ECG, and radial artery pulse waves. Two or more of the biological signals may be selected, impedance and EMG may be selected to analyze muscle mass aging and body component aging by body part, and NIRS and EMG may be selected to analyze muscle fatigue.

The processing unit 230 provides an evaluation result for the forest healing program by using the selected first function.

Specifically, the analysis unit 220 selects two or more biological signals from among the multiple biological signals, such as cognitive function, autonomic nerve response, blood vessel aging, muscle mass aging by body part, body composition aging, activity, cardiopulmonary function, muscle fatigue, and Analyzing at least one function among the risk of metabolic diseases, and the processing unit 230 may provide the evaluation result based on the analysis result for each function.

For example, when a second function whose health status has not improved according to the comparison is selected, the processor 230 graphs the score for each function of the first function to be compared with the score for each function of the second function. Can be provided.

At this time, the processing unit 230 may make a reservation to execute a complementary program for improving the second function in which the health condition has not improved.

In another example, the processing unit 230 calculates a width of change between the score for each function and the dictionary score for each function for the first function, and determines the degree of improvement according to the change width and whether the forest healing program is continuously implemented. The evaluation result may be provided, including information on.

For example, if the change width is greater than or equal to a reference value, the processing unit 230 may provide the evaluation result for determining that the forest healing program is effective.

Alternatively, if the change width is less than the reference value, the processing unit 230 may provide the evaluation result recommending a forest healing program different from the forest healing program.

At this time, the processing unit 230 stops the execution of the forest healing program through the control unit 250 and recommends a program different from the forest healing program when the first function with improved health status is not selected. I can.

Specifically, the processing unit 230 may recommend'acupoint stimulation' or'acupoint stimulation walking' as a program associated with improvement of cognitive function. In addition, the processing unit 230 may recommend at least one of'meditation','danjeon breathing', and'talking to nature' as a forest healing program associated with a stress relaxation function or a vase relaxation function. In addition, the processing unit 230 may recommend a'massage for each site' as a forest healing program related to a human body muscle balance function.

In another example, when the forest healing program is repeatedly executed more than a predetermined number of times, the processing unit 230 connects the past score for each function calculated each time the forest healing program is repeated with the score for each function, A trend line related to the condition may be shown, and in consideration of the trend line, a next forest healing program to be carried out to the patient may be recommended.

The processing unit 230 may recommend a new program different from the forest healing program if the trend line does not indicate an improvement in health.

For example, referring to FIG. 4, if the trend line drawn for'short-lived breathing' performed multiple times on patient A is gradually lowered or is constant without change, the processing unit 230 indicates that there is no effect on improving the cognitive function of the patient. Can be evaluated. In this case, the processing unit 230 may recommend a next forest healing program to be implemented to patient A in consideration of the evaluation result of the forest healing program performed on patient B with reduced cognitive function, like patient A.

That is, the processing unit 230 may recommend to patient A a'walking in the cypress forest', which is evaluated as having an effect of improving the cognitive function of patient B.

As described above, according to an embodiment of the present invention, it is possible to evaluate the forest healing effect in real time in a non-invasive and simple method based on a multimodal bio-signal measuring device.

According to an embodiment of the present invention, through a wearable device worn by a patient, multiple bio-signals such as brain waves, eye movements, pulse waves, electrocardiograms, bio-impedance, and electromyography are measured to quantitatively and integrally measure the effect on the forest healing program. It can provide services for forest healing effects by analyzing them.

According to an embodiment of the present invention, it is possible to reflect improvements in a forest healing program by giving real-time feedback on a treatment effect according to a forest healing program, and to improve the forest healing effect of a patient.

Depending on the embodiment, the processing unit 230 predicts a time point at which the effect according to the forest healing program is optimized, considering the result of monitoring the amount of activity of the patient, cardiopulmonary function, and muscle fatigue, and using the predicted time point, the next It is possible to determine the measurement point at which multiple biological signals are measured according to the forest healing program.

Specifically, the processing unit 230 monitors (measures) the amount of activity, cardiopulmonary function, and muscle fatigue from the patient who has performed the forest healing program using a wearable activity tracker and a muscle fatigue meter, and the activity amount and the The degree of recovery of the patient's physical function from the cardiopulmonary function may be determined, and a time point at which the effect of the forest healing program is optimized may be predicted through a relative comparison between the degree of recovery of the physical function and the degree of muscle fatigue.

Here, when the processing unit 230 calculates the score for each function at regular intervals from the start (or end) of the forest healing program, the point at which the maximum score for each function is calculated (for example, when the forest healing program is terminated). 10 minutes from the time point) can be predicted as the time point at which the effect of the forest healing program is optimized.

That is, the processing unit 230 may predict the timing at which the improvement effect of the forest healing program is optimized for a specific patient according to the machine learning method by repeatedly executing the forest healing program, and the measurement unit 210 Multiple biological signals can be measured at a measurement point determined according to a predicted point in the forest healing program.

As described above, according to an embodiment of the present invention, it is possible to recommend a customized forest healing program according to the patient's constitution and health status, and to estimate the optimal time at which the effect of the forest healing program appears by evaluating fatigue and activity.

3 is a view for explaining the entire process of evaluating a forest healing program in the forest healing program evaluation system according to an embodiment of the present invention.

Referring to FIG. 3, the forest healing program evaluation system may prepare a forest healing program for each function for improving health functions. For example, as a program related to the improvement of cognitive function,'acupoint stimulation' or'acupoint stimulation walking' is provided, and as a forest healing program related to stress relaxation function or vase relaxation function,'meditation','danjeon breathing' And'talk to nature', and as a forest healing program related to a balance function of a human body muscle, a'massage for each site' may be provided.

The forest healing program evaluation system can implement a forest healing program on a patient, taking into account the results of prior tests conducted on the patient.

At this time, the forest healing program evaluation system further considers at least one patient information among the height, weight, sex, age, and medications entered from the patient, and at least one type information among the Sasang constitution, cold constitution, and personality test. You can decide on a healing program.

Specifically, the forest healing program evaluation system compares the values obtained by conducting at least one of a questionnaire test, vital sign test, blood test, saliva test, and urine test with the standard distribution prepared for each function, and exceeds the threshold value in the standard distribution. The function of which the health condition is deteriorated can be identified as, for example,'cognitive function'.

The Forest Healing Program Evaluation System can perform'Danjeon Breathing', a breath-oriented forest healing program, taking into account the patient's sasang constitution (noise person) among forest healing programs to improve cognitive function deteriorated in patients through pre-test results. have.

The forest healing program evaluation system can measure multiple biological signals through the wearable device worn by the patient after performing'danjeon breathing' and score the measured values for each function.

Specifically, the forest healing program evaluation system can measure multiple biological signals such as EEG, Eye tracker, VR, PPG, ECG, radial artery pulse wave, Impedance, POCT, Activity tracker, NIR and EMG through a wearable device. And, it is possible to calculate the score for each function by using two or more bio-signals for each function.

For example, the forest healing program evaluation system calculates the score of cardiovascular function using ECG, PPG, and activity tracker, calculates the score of cognitive function using EEG, Eye tracker, and VR, and uses Impedance and EMG. It is possible to calculate the score of the human muscle balance function, calculate the score of the muscle fatigue function using EMG and NIR, and calculate the score of the metabolic disease function using POCT.

The forest healing program evaluation system compares the score calculated for each function with the prior score for each function calculated according to multiple biological signals measured before performing'danjeon breathing', and selects the first function with improved health. , Using the first function, it is possible to provide an evaluation result for'danjeon breathing'.

The forest healing program evaluation system confirms that the score calculated for the cognitive function decreased in the patient as a result of the pre-test is higher than the previous score, confirms that the cognitive function is improved, and the degree of improvement according to the increased score width. Feedback on improvements can be made.

The forest healing program evaluation system can reserve the next forest healing program as a new program rather than'danjeon breathing' if cognitive function is not improved.

4 is a diagram illustrating an example of determining a forest healing program to be implemented for a patient in the system for evaluating a forest healing program according to an embodiment of the present invention.

Referring to the table 400 shown in FIG. 4, the forest healing program evaluation system compares the results of at least one of a questionnaire test, vital signs test, blood test, saliva test, and urine test with a standard distribution prepared in advance. , The reduced function in patient A and patient B can be identified as cognitive function.

When selecting a forest healing program to improve cognitive function, the forest healing program evaluation system may additionally consider information about the gender, age, drugs being taken, and constitution input from the patient.

For example, the forest healing program evaluation system selects a forest healing program that focuses on breathing (e.g., Danjeon breathing, meditation) for patient A whose Sasang constitution is Soeumin, and a walking-centered forest healing program for patient B who has a Sasang constitution. (Eg, acupuncture stimulation walking, cypress forest walking) can be selected.

As such, the forest healing program evaluation system can select and implement a customized forest healing program to improve the function deteriorated as a result of pre-tests, taking into account the patient's body information, drug information, and the patient's constitution or personality test.

5 is a diagram illustrating an example of analysis for each function on a health condition in the system for evaluating a forest healing program according to an embodiment of the present invention.

Referring to the table 500 shown in FIG. 5, in order to verify whether the forest healing program ('danjeon breathing') conducted on patient A has an effect of improving the health condition of the patient, the forest healing program evaluation system Scores for each function can be calculated using biometric signals.

For example, for the evaluation of'cognitive function', the forest healing program evaluation system can score the measured values of two or more bio-signals among EEG, eye tracking, and VR, and average each score to calculate a score for cognitive function.

Similarly, the forest healing program evaluation system can calculate the score of the human muscle balance function by scoring the measured values of impedance and EMG for the evaluation of'human muscle balance function', and averaging each score.

Similarly, the forest healing program evaluation system can calculate the score of the stress relaxation function by scoring the measured values of ECG, PPG, and activity tracker to evaluate the'stress relaxation function', and average each score.

In this way, the forest healing program evaluation system scores the measured values of multiple biological signals for each function and compares them with the pre-score calculated before the implementation of the forest healing program ('danjeon breathing'). It can be analyzed that it has improved.

In addition, the forest healing program evaluation system for the'cognitive function' that was confirmed to be vulnerable to patient A through a pre-test, the extent of the increase in the score was insignificant compared to the previous score, or the score decreased. ') can be analyzed as not improving.

6 is a diagram illustrating an example of providing an evaluation result of a forest healing program in the forest healing program evaluation system according to an embodiment of the present invention.

Referring to FIG. 6, the system for evaluating a forest healing program may provide an evaluation result 600 for'danjeon breathing' performed on patient A based on the score for each function calculated in the table 500 of FIG. 5.

That is, the forest healing program evaluation system may analyze whether'danjeon breathing' is effective in improving health status by comparing the calculated score for each function with a prior score for each function, and provides an evaluation result 600.

For example, the forest healing program evaluation system provides a positive evaluation result for the'short-lived breathing' performed on patient A based on the'stress relaxation function' whose health status has improved, while improving the'cognitive function' that has deteriorated to the patient. Since there is no effect, an evaluation result 600 recommending a new program different from the previously conducted'danjeon breathing' may be provided.

7 is a diagram illustrating a graph of an AUC value obtained by ROC analysis of a patient's EEG characteristic points in the system for evaluating a forest healing program according to an embodiment of the present invention.

7 is a graph of the AUC value obtained by ROC analysis of the patient's EEG measurements.

Referring to the graph of FIG. 7, the forest healing program evaluation system may analyze whether the patient's cognitive function is improved by the distribution of EEG feature points according to the AUC value.

That is, the forest healing program evaluation system can determine whether the forest healing program conducted to dementia patients is effective in improving cognitive function, according to the EEG feature points identified through the AUC value.

In addition to the AUC value using EEG measurements, the forest healing program evaluation system can analyze whether the patient's cognitive function has improved through the change of the MMSE index.

Hereinafter, in FIG. 8, the work flow of the forest healing program evaluation system 200 according to embodiments of the present invention will be described in detail.

8 is a flowchart illustrating a procedure of a method for evaluating a forest healing program according to an embodiment of the present invention.

The method for evaluating a forest healing program according to the present embodiment may be performed by the forest healing program evaluation system 200 described above.

Referring to FIG. 8, in step 810, the forest healing program evaluation system 200 performs a forest healing program according to the pre-examination result.

The forest healing program evaluation system 200 may determine a patient's health status according to age, sex, and constitution for each function based on a previously established standard distribution DB for each body function according to the patient's pre-test result.

Here, the pre-test may be at least one of a questionnaire test, a vital sign test, a blood test, a saliva test, and a urine test.

The forest healing program evaluation system 200 additionally considers the patient's constitution, age, height, weight, and whether or not to take drugs to determine the risk of each function according to the patient's health condition, and to improve the vulnerable functions of the patient. You can recommend a healing program.

That is, the forest healing program evaluation system 200 provides a forest healing program for improving functions with weak health conditions according to the pre-test results, taking into account at least one of age, sex, constitution, and whether or not to take drugs, which is optimal for the patient. Forest healing programs can be conducted on patients

For example, the forest healing program evaluation system 200 may guide the patient through the wearable device 120 to select'Cypress Forest Walk' as a patient-customized forest healing program, and perform the'Cypsy Forest Walk' for approximately 1 hour. .

In step 820, the forest healing program evaluation system 200 measures multiple biological signals from a patient through a wearable device.

The forest healing program evaluation system 200 may measure multiple biosignals of two or more of EEG, pulse waves, electrocardiogram, eye movement, bioimpedance, and EMG of a patient who has performed the forest healing program through a wearable device.

At this time, the forest healing program evaluation system 200 repeatedly executes the forest healing program to predict a certain point in time at which the improvement effect of the forest healing program is optimized for a specific patient according to the machine learning method, and wearable at that point. Multiple biological signals can be measured through the device.

Here, a certain point in time when the improvement effect is optimized may mean a point in time at which the maximum score for each function is calculated when a forest healing program is performed on a patient.

In step 830, the forest healing program evaluation system 200 analyzes a function related to a health condition using the multiple biological signals.

As an example, the forest healing program evaluation system 200 analyzes the measured values of multiple biological signals, calculates a score for each function for each function related to the patient's health condition, and calculates the score for each function, before executing the forest healing program. The first function with improved health status (eg,'cognitive function') may be selected by comparing with the prior scores for each function according to the measured multiple bio-signals.

In step 840, the forest healing program evaluation system 200 provides an evaluation result for the forest healing program based on the analysis result for each function.

For example, the forest healing program evaluation system 200 may provide an evaluation result for the forest healing program by using the first function in which the health condition has improved.

For example, the forest healing program evaluation system 200, whether or not the patient's cognitive function has improved after performing the'Cypress Forest Walk', the degree to which it has improved, whether or not to continuously perform the'Cypress Forest Walk' and by function Including the score, the evaluation result for'walking in the cypress forest' can be created and provided to the manager terminal.

In step 850, the forest healing program evaluation system 200 feeds back the evaluation result to a forest healing program to be performed on the patient.

The forest healing program evaluation system 200 may reflect the improvement according to the evaluation result to a next forest healing program to be implemented on the patient, or may recommend a new program when the improvement effect is insignificant.

For example, the forest healing program evaluation system 200 may recommend meditation programs such as meditation, danjeon breathing, and talking to nature in order to improve the stress relaxation function that is still vulnerable to the patient.

As described above, according to an embodiment of the present invention, by evaluating a forest healing program conducted on a patient based on multiple biological signals, the therapeutic effect of a forest healing program (forest activity) can be demonstrated in a concrete and visualized manner.

According to an embodiment of the present invention, by selecting two or more bio-signals and analyzing the patient's health condition by function, an evaluation result of determining whether a forest healing program conducted to the patient has a significant effect on improving the health condition can be provided. have.

According to an embodiment of the present invention, it is possible to improve the forest healing effect by analyzing multiple biological signals measured from a patient in a complex manner and feeding back improvements to the next forest healing program or recommending a new forest healing program. .

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

As described above, although the embodiments have been described by the limited drawings, a person of ordinary skill in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments and claims and equivalents fall within the scope of the following claims.

200: Forest Healing Program Evaluation System
210: measuring unit
220: analysis unit
230: processing unit
240: pre-inspection unit
250: control unit

Claims (18)

According to the implementation of the forest healing program, measuring multiple biological signals by a sensor attached to the patient;
Analyzing the measured values of the multiple bio-signals and calculating a plurality of scores related to the patient's health status;
Comparing the plurality of scores with prior scores according to multiple biological signals measured before implementation of the forest healing program, and evaluating whether or not health status has improved;
Providing an evaluation result of the forest healing program, including whether the health condition has improved;
Connecting a plurality of past scores calculated each time the forest healing program is repeatedly performed more than a predetermined number of times, with the plurality of scores, respectively, and showing a trend line regarding the health status of the patient; And
Considering the trend line, recommending a next forest healing program to be carried out to the patient.
Forest healing program evaluation method comprising a. The method of claim 1,
The step of providing the evaluation result,
Providing the evaluation result by graphing a first score evaluated as having improved health status among the plurality of scores to be compared with a second score evaluated as having not improved health status
Forest healing program evaluation method comprising a. The method of claim 1,
The step of providing the evaluation result,
Calculating a width of change between the first score evaluated to have improved health and the prior score among the plurality of scores; And
Providing the evaluation result, further including information on the degree of improvement according to the change width and whether the forest healing program is continuously implemented.
Forest healing program evaluation method comprising a. The method of claim 3,
The step of providing the evaluation result further including information on the degree of improvement according to the change width and whether the forest healing program is continuously implemented,
Providing the evaluation result of determining that the forest healing program is effective if the change width is greater than or equal to the reference value; or
If the change width is less than the reference value, providing the evaluation result recommending a forest healing program different from the forest healing program
Forest healing program evaluation method comprising a. The method of claim 1,
If the above health condition is evaluated as not improving,
Stopping implementation of the forest healing program; And
Recommending a program different from the forest healing program among a plurality of forest healing programs prepared to improve the patient's health condition
Forest healing program evaluation method further comprising. The method of claim 5,
As a step of preparing a plurality of forest healing programs to improve the patient's health condition, 1) as a forest healing program for improving the patient's cognitive function,'acupoint stimulation'or'acupoint stimulation walking' is provided, and 2) As a forest healing program for improving the patient's stress relaxation function or the patient's vase relaxation function, at least one of'meditation','danjeon breathing', and'talking to nature' is provided, and 3) human body muscle balance of the patient As a forest healing program for improving function, the step of preparing a'massage for each site'
Forest healing program evaluation method further comprising. delete The method of claim 1,
Comparing a value measured when at least one of a questionnaire test, a vital sign test, a blood test, a saliva test, and a urine test is performed with a standard distribution prepared in advance; And
Performing a forest healing program associated with a value deviating from the standard distribution by a threshold value or more for the patient
Forest healing program evaluation method further comprising. The method of claim 8,
Performing the forest healing program in consideration of at least one patient information of height, weight, sex, age, and medication taken, and at least one type information of Sasang constitution, cold constitution, and personality test.
Forest healing program evaluation method further comprising. The method of claim 1,
Measuring the multiple bio-signals through a wearable device when a predetermined time elapses from the time when the forest healing program is executed;
Selecting two or more bio-signals from among the multiple bio-signals; And
Analyzing the two or more biological signals, the patient's cognitive function, autonomic nervous response, blood vessel aging, muscle mass aging by body part, body component aging, activity, cardiopulmonary function, muscle fatigue, and metabolic disease risk. Steps to calculate the score
Forest healing program evaluation method further comprising. The method of claim 10,
When two or more of multiple biological signals among EEG, Eye tracker, VR, PPG, ECG, radial artery pulse wave, impedance, POCT, activity tracker, NIR, and EMG are measured through the wearable device,
The step of selecting the two or more bio signals,
Selecting two or more bio-signals from EEG, eye tracker, and VR to analyze the cognitive function;
Selecting two or more biological signals from among PPG, ECG, and radial artery pulse waves to analyze the autonomic nervous response or the degree of vascular aging;
Selecting impedance and EMG in order to analyze the degree of aging of the muscle mass or the degree of aging of the body composition for each body part; And
To analyze the muscle fatigue, selecting NIRS and EMG
Forest healing program evaluation method comprising a. The method of claim 1,
Predicting a time point at which an effect according to the forest healing program is optimized in consideration of a result of monitoring activity amount, cardiopulmonary function, and muscle fatigue from the patient; And
Using the predicted time point, determining a time point for measuring multiple biological signals according to the next forest healing program
Forest healing program evaluation method comprising a. The method of claim 12,
The predicting step,
Monitoring the amount of activity, cardiopulmonary function, and muscle fatigue from the patient who has performed the forest healing program using a wearable activity tracker and a muscle fatigue measurer; And
Predicting a time point at which the effect of the forest healing program is optimized through a relative comparison between the amount of activity and the degree of recovery of the physical function of the patient identified from the cardiopulmonary function and the degree of muscle fatigue.
Forest healing program evaluation method comprising a. In accordance with the implementation of the forest healing program, a measuring unit for measuring multiple biological signals by a sensor attached to the patient;
An analysis unit that analyzes the measured values of the multiple biological signals and calculates a plurality of scores related to the health status of the patient; And
The plurality of scores are compared with prior scores according to multiple bio-signals measured before implementation of the forest healing program to evaluate whether the health status has improved, and the forest healing, including whether the health status has improved. Processing unit that provides evaluation results for the program
Including,
The processing unit,
A plurality of past scores calculated each time the forest healing program is repeatedly performed more than a predetermined number of times is connected to the plurality of scores, respectively, to show a trend line on the health status of the patient, and in consideration of the trend line, the Recommending the next forest healing program for patients
Forest Healing Program Evaluation System. The method of claim 14,
If the above health condition is evaluated as not improving,
The forest healing program evaluation system,
The control unit to stop the implementation of the forest healing program
Including more,
The processing unit,
Among the plurality of forest healing programs designed to improve the patient's health condition, a program different from the forest healing program is recommended.
Forest Healing Program Evaluation System. The method of claim 14,
The forest healing program evaluation system,
A pre-test unit for comparing the measured values with a standard distribution prepared in advance when at least one of a questionnaire test, vital sign test, blood test, saliva test, and urine test is performed; And
A control unit that performs a forest healing program associated with a value deviating from the standard distribution by more than a threshold value for the patient
Forest healing program evaluation system further comprising. The method of claim 14,
The forest healing program evaluation system,
Measurement unit for measuring the multiple bio-signals through a wearable device when a predetermined time elapses from the time when the forest healing program is executed
Including more,
The analysis unit,
By selecting two or more bio-signals among the multiple bio-signals,
To calculate a score for at least one of the patient's cognitive function, autonomic nervous response, vascular aging, muscle mass aging by body part, body component aging, activity, cardiopulmonary function, muscle fatigue, and risk of metabolic disease.
Forest Healing Program Evaluation System. A computer-readable recording medium storing a program for executing the method of any one of claims 1 to 6 and 8 to 13.

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