WO2025118080A1

WO2025118080A1 - Integrated biofeedback and bio-resonance device and use thereof

Info

Publication number: WO2025118080A1
Application number: PCT/CA2024/051621
Authority: WO
Inventors: Stephen Davis; Steven King
Original assignee: Wave Force Electronics Inc
Current assignee: Wave Force Electronics Inc
Priority date: 2023-12-04
Filing date: 2024-12-04
Publication date: 2025-06-12
Anticipated expiration: 2026-06-04
Also published as: CA3221943A1

Abstract

An integrated biofeedback and bio-resonance device is provided for use with a power source, the integrated biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module.

Description

INTEGRATED BIOFEEDBACK AND BIO-RESONANCE DEVICE AND USE THEREOF

FIELD

The present technology is directed to a wearable device that includes sensors to provide feedback to a user before, during and after a bio-resonance treatment, which is delivered by the wearable device. More specifically it is a wearable device with at least two biometric sensors and a light emitting diode bio-resonance system.

BACKGROUND

Examples of prior art bio-resonance systems include United States Patent Application Publication No. 20190373687 which disclose that the LEDs in a phototherapy LED pad are controlled so that the intensity of the light varies in accordance with a sinusoidal function, thereby eliminating the harmonics that are generated when the LEDs are pulsed digitally. This is accomplished analogically by using a sinusoidal wave to control the gate of a MOSFET connected in series with the LEDs or by using a digital-to-analog converter to control the gate of the MOSFET with a stair step function representative of the values of a sinusoidal function at predetermined intervals. Alternatively, pulse-width modulation is used to control the gate of the MOSFET in such a way that the average current through the LEDs simulates a sinusoidal function. In additional to using a simple sine wave function, the LED current may also be controlled in accordance with “chords” containing multiple sine waves of different frequencies. This technology does not use biofeedback to determine the efficacy of a bio-resonance treatment.

Examples of prior art bio-feedback systems include Unites States Patent No. 6261236A which discloses a biofeedback method and apparatus for applying a physical action to a subject for treatment purposes and for other applications. The method and apparatus disclosed include the steps of coordinating the physical action to systolic upstroke and diastolic drain cycles of subject's peripheral blood flow. Coordination to the cycles of blood flow synchronizes the treatment action with homoeostatic rhythms of the body, which along with automatic dose individualization substantially enhance efficiency and predictability of the treatment effect. The method and apparatus are also used for diagnostic purposes. This technology is directed to providing a treatment that matches the subject’s systolic and diastolic strokes and does not use the biofeedback to determine the efficacy of a bio-resonance treatment.

Examples of prior art for an apparatus that delivers a bio-resonance treatment based on bio-feedback include European Patent No. 2450075 which discloses that the apparatus (14) for treating a patient's body by delivering energy, comprises: a device (18) for delivering energy to the body of a patient (10); a series of sensors (S1 -S6) for measuring all or part of the essential physiological integrated biorhythms of the patient (10); a control and command unit (20) enabling the energy delivered to the body of the patient (10) to be varied on the basis of the measurement by the sensors (S1 -S6). This technology does not allow a user to carry out day to day activities while undergoing treatment.

European Patent No. 2799110 discloses a method for operating a medical device, in particular a bio-resonance device, for determining the physiological state of a patient based on frequency-induced electrophysiological measured values, and a bio-resonance device for carrying out this method. This technology does not allow a user to carry out day to day activities while undergoing treatment.

What is needed is a device that includes two or more sensor for collecting biometric data from a user. It would be preferable if the device included light emitting diodes for providing a bio-resonance treatment. It would be further preferable if the device included a memory and a processor to store and process the biometric data and to store bio-resonance treatments protocols. It would be further preferable if the two or more sensors were able to collect biometric data before, during and after a bio-resonance treatment as biofeedback data. It would be still further preferable if the biofeedback data from the two or more sensors were fused by the memory and processor to provide fused biofeedback data. It would then be preferable if the fused biofeedback data could be used by the memory and the processor to select a suitable treatment protocol. It would be further preferable if the biofeedback data could be used in real time to adjust a bio-resonance treatment protocol. SUMMARY

Provided is a device that includes two or more sensor for collecting biometric data from a user. The device includes light emitting diodes for providing a bio-resonance treatment. The device includes a memory and a processor to store and process the biometric data, to store bio-resonance treatments protocols and to control bio-resonance treatments. The two or more sensors are able to collect biometric data before, during and after a bioresonance treatment as biofeedback data. The biofeedback data from the two or more sensors are fused by the memory and processor to provide fused biofeedback data. The fused biofeedback data is used by the memory and the processor to select a suitable treatment protocol. The biofeedback data can be used in real time to adjust a bioresonance treatment protocol.

In one embodiment, an integrated biofeedback and bio-resonance device is provided for use with a power source, the integrated biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bioresonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module.

In the integrated biofeedback and bio-resonance device, the biometric sensor may be one or more of a photoplethysmography sensor, an LED-less photoplethysmography sensor, an electrocardiogram monitor, an electroencephalogram monitor, a magnetometer, a skin resistance sensor and an accelerometer.

In the integrated biofeedback and bio-resonance device, the biometric sensor may be the LED-less photoplethysmography sensor which shares the light emitting diode of the bioresonance module.

In the integrated biofeedback and bio-resonance device, the biometric sensor may be the photoplethysmography sensor. In the integrated biofeedback and bio-resonance device, the biofeedback module may further comprise the accelerometer.

The integrated biofeedback and bio-resonance device may further comprise a real-time clock, the real-time clock in electronic communication with the microcontroller or is integral with the microcontroller.

In the integrated biofeedback and bio-resonance device, the microcontroller may be configured to store bio-resonance programmes.

In the integrated biofeedback and bio-resonance device, the integrated biofeedback and bio-resonance device may be a ring.

In the integrated biofeedback and bio-resonance device, the integrated biofeedback and bio-resonance device may be a strap.

In the integrated biofeedback and bio-resonance device, the biometric sensor may be the magnetometer.

In the integrated biofeedback and bio-resonance device, the integrated biofeedback and bio-resonance device may be a pendant.

In another embodiment, a system is provided for collecting biometric data and for delivering a bio-resonance treatment, the system comprising: a computing device, which includes a memory and a processor, the memory configured to store bio-resonance programmes; an interface device which is in wireless communication with the computing device and includes a memory and a processor; and an integrated biofeedback and bioresonance device which is in wireless communication with the interface device, the biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module.

In the system, the memory of the computing device may include a machine learning module.

In the system, the memory of the computing device may be configured to instruct the processor to analyze a biometric data set.

In the system, the memory of the computing device may be configured to instruct the processor to adjust a bio-resonance programme.

In the system, the memory of the computing device may be configured to instruct the processor to develop at least one new bio-resonance programme.

In another embodiment, a method is provided for delivering a bio-resonance treatment based on a biometric data set, the method comprising: (i) a user selecting an integrated biofeedback and bio-resonance device, the integrated biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module, wherein the integrated biofeedback and bio-resonance device is one of a ring, a strap or a pendant; (ii) the user attaching the integrated biofeedback and bio-resonance device to themselves; (iii)the biofeedback sensor collecting a biometric data set and sending the biometric dataset to the microcontroller; (iv) the microcontroller sending a bio-resonance programme to the bio-resonance module; and (v) the user receiving a bio-resonance treatment, thereby delivering a bio-resonance treatment.

The method may further comprise the biofeedback module receiving biometric data and the bio-resonance module providing a bio-resonance treatment concomitantly. The method may further comprise an accelerometer and a real-time clock providing realtime biometric data and the microcontroller adjusting the bio-resonance treatment in realtime.

The method may further comprise the microcontroller analyzing biometric data.

In the method, the integrated biofeedback and bio-resonance device may be a ring and the biofeedback sensor may be a photoplethysmography sensor.

FIGURES

Figure 1 is an exploded schematic of one embodiment of the integrated biofeedback and bio-resonance device of the present technology.

Figure 2A is a longitudinal sectional of the device of Figure 1 ; and Figure 2B is a plan view of the electronics of the device.

Figure 3 is a schematic of an alternative embodiment integrated biofeedback and bioresonance device.

Figure 4 is a schematic of an alternative embodiment integrated biofeedback and bioresonance device.

Figure 5 is a schematic of an alternative embodiment integrated biofeedback and bioresonance device.

Figure 6 is a schematic of the electronics of one embodiment of the system that includes the integrated biofeedback and bio-resonance device with the bio-resonance module operating.

Figure 7 is a schematic of the electronics of Figure 6, with the biofeedback module operating.

Figure 8 is a schematic of the electronics of another alternative embodiment of the system that includes the biofeedback and bio-resonance device with bio-resonance module operating.

Figure 9 is a schematic of the electronics of Figure 8, with the biofeedback module operating. Figure 10 is a graph showing PPG results from the integrated biofeedback and bioresonance device of the present technology.

Figure 11 is a graph showing PPG results from integrated biofeedback and bio-resonance device of the present technology.

Figure 12 is a graph showing PPG results before and after a bio-resonance treatment using the integrated biofeedback and bio-resonance device of the present technology.

Figure 13 is a schematic of the electronics of another alternative embodiment of the biofeedback and bio-resonance device.

Figure 14 is a schematic of the electronics of another alternative embodiment of the biofeedback and bio-resonance device.

Figure 15 is a schematic of another alternative embodiment of the biofeedback and bioresonance device.

Figure 16 is a schematic of a user wearing a pendant.

DESCRIPTION

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the technology. Has used herein, the term and/or includes any and all combinations of one or more of the associated listed items. As used here in the singular form “a”, “an”, and “the” are intended to include the plural forms as well as singular forms, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises” and/or “comprising” when used in the specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one having ordinary skill in the art to which this technology belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

In describing the technology, it will be understood that a number of techniques and steps are disclosed. Each of these has individual benefits and each can also be used in conjunction with one or more, or in some cases all, of the other disclosed techniques. Accordingly, for the sake of clarity, this description will refrain from repeating every possible combination of the individual steps in an unnecessary fashion. Nevertheless, the specification and claims should be read with the understanding that such combinations are entirely within the scope of the technology and the claims.

The present disclosure is to be considered as an exemplification of the technology and is not intended to limit the technology to the specific embodiments illustrated by the figures or description below.

DEFINITIONS:

Biometric sensor - in the context of the present technology, a biometric sensor is any sensor or monitor that provides biometric data.

Biometric data - in the context of the present technology, biometric data are data that relate to a person’s physiology and/or biochemistry and include, for example, but not limited to measurements of brain function, heart function, nerve function, muscle function, blood pressure and the like.

DETAILED DESCRIPTION:

The present technology will now be described by referencing the appended figures representing preferred embodiments.

An embodiment of an integrated biofeedback and bio-resonance device, generally referred to as 10 is shown in Figure 1 . In this embodiment, the device 10 is a wrist band 12 or strap which may or may not also include fastener attachments 14 for use with any watch 16 or other wrist wearable device. In this configuration, it is able to be used with any watch, fitness tracker, or other wrist wearable device with compatible mounting points. The fastener 22 allows the wrist band 12 or strap to be attached to the watch 16 or other wrist wearable device, replacing the watch’s watch strap or the strap of another wrist wearable device. There is a small bio-resonance module 24 and at least two biometric sensors 26, the latter being referred to collectively as the biofeedback module 40.

As shown in Figure 2A, almost completely embedded between the upper outer layer 18 and the lower outer layer 20 is the bio-resonance module 24. The biometric sensors 26 are mounted to the lower outer layer 20. As shown in Figure 2B, the integrated biofeedback and bio-resonance device 10 includes an integrated circuit 28 that includes a microcontroller 30, a resistor 32, and a wireless communicator 34 such as a wireless radio or receiver, including but not limited to a Near-field communication (NFC) electromagnetic coil, a Bluetooth® radio and a WiFi receiver. The microcontroller 30 is in electronic communication with at least one light emitting diode (LED) 36 of the bioresonance module 24 and the sensors 26 of the biofeedback module 40. The microcontroller 30 is programmable.

Figure 3 is a perspective view of an alternative embodiment of the integrated biofeedback and bio-resonance device, generally referred to as 200. The components of Figure 2A and 2B are retained on an animal collar, strap, harness or other wearable 202 suitable for animals.

Figure 4 is a schematic of another alternative embodiment integrated biofeedback and bio-resonance device, generally referred to as 400. The components of Figure 2A and 2B are retained on a patch 402.

Figure 5 is a schematic of another alternative embodiment integrated biofeedback and bio-resonance device, generally referred to as 450. The components of Figure 2A and 2B are retained on a ring 502.

While specific embodiments describe particular implementations of switching between biofeedback and bio-resonance modes, those skilled in the art will recognize that various methods may be employed to alternate between a first signal pattern optimized for PPG measurements and a second signal pattern configured for bio-resonance treatment. The control of such signal patterns may be implemented through various combinations of hardware and software components, with the MCU, DAC, and MOSFET representing one possible configuration for generating and controlling the required waveforms.

Figure 6 is a block diagram of the electronics of one embodiment of a system, generally referred to 598 that includes the integrated biofeedback and bio-resonance device 10. A cloud-based computing device 600 includes a memory 602 and a processor 604. The memory 602 stores bio-resonance programmes and includes a data analysis and storage module. The memory 602 is configured to instruct the processor 604 to send a selected bio-resonance programme to an interface device 606 which may be a smart phone. The interface device 606 includes a memory 608 and a processor 610. Bio-resonance programmes are also stored in this memory 608. Regardless of the source of the bioresonance programmes, the interface device 606 send instructions and bio-resonance programmes to the integrated biofeedback and bio-resonance device 10 of the system. A microcontroller 612 receives the instructions and the bio-resonance programmes. The microcontroller 612 may also store bio-resonance programmes and may be configured to analyze biometric datasets. There may also be a real-time clock which may be integral with the microcontroller 612 or may be in electronic communication with the microcontroller 612. The microcontroller 612 is shared between the bio-resonance module 24 and the biofeedback module 40. The microcontroller 612 sends the bioresonance programme to a digital to analogue converter 614 of the bio-resonance module 24, where it is turned into a time-varying analogue voltage. The resultant time-varying analogue voltage is sent to a switch 616 which is shared between the bio-resonance module 24 and the biofeedback module 40. The switch 616 sends signals to one or the other of the LEDs 620 via the digital to analogue converter 614 of the bio-resonance module 24 or the LEDs 626 in the PPG 622 of the biofeedback module 40. The switch 614, the microcontroller 612, the LEDs 620 and the PPG sensor 622 receive power from a power source 624. In this embodiment, the bio-resonance module 24 includes LEDs 620 and the sensors 26 of the biofeedback module 40 have their own LEDs 626. When the bio-resonance module 24 is operating, the LEDs 620 pulse light on the user according to the bio-resonance programme. The PPG 622 receives the light pulses, which are determined to be spurious by the microcontroller 612. When the signal from the switch is sent to the LED 626 of the PPG sensor 622 as shown in Figure 7, the user’s heart rate is monitored. The biometric data are fed back to the microcontroller 612 which communicates wirelessly with the interface device 606 and optionally to the cloud-based computing device 600. On the basis of the biometric data, a bio-resonance programme is selected by either the cloud-based computing device 600 or the interface device 606. The switch 616 is switched and a bio-resonance treatment is provided to the user by flashing the LEDs 620 as shown in Figure 6. Switching the signal between the LEDs 620 via the digital to analogue converter 614 of the bioresonance module 24 to the LEDs 626 in the PPG 622 of the biofeedback module 40 allows for the effect of a bio-resonance treatment to be measured. In the bio-resonance mode the power is modulated and in the biofeedback mode the ground is modulated.

As shown in Figure 8, in another embodiment of the system, generally referred to as 650 that includes the integrated biofeedback and bio-resonance device 10, there is one set, which may be one or more LEDs 652 that are shared between the bio-resonance module 24 and the biofeedback module 40. The biofeedback module includes an LED-less PPG sensor 654 that shares the LEDs 652 with the bio-resonance module 24. When the LEDs 652 are functioning in the bio-resonance mode, data from the LED-less PPG sensor 654 is fed back to the microcontroller 612 which communicates wirelessly with the interface device 606 and optionally to the cloud-based computing device 600, where it is discarded as spurious data. The LED-less PPG 654 receives the light pulses, which are determined to be spurious by the microcontroller 612.

As shown in Figure 9, when the switch 616 signals the biofeedback mode, the shared LEDs 652 emit fixed frequency light pulses specific to a PPG, as would be known to one skilled in the art. Switching the signal between the bio-resonance module 24 and the LED-less PPG sensor 654 allows for the effect of a bio-resonance treatment to be measured.

As shown in Figure 10, the PPG sensor 622 or the LED-less PPG sensor 654 of the biofeedback module 40 collects heart rate data. The subject being tested has a high heart rate variability. As shown in Figure 11 , the PPG sensor 622 or the LED-less PPG sensor 654 of the biofeedback module 40 collects heart rate data. The subject being tested has a low heart rate variability.

As shown in Figure 12, the PPG sensor 622 or the LED-less PPG sensor 654 of the biofeedback module 40 collects heart rate data before the bio-resonance treatment. The subject’s heart rate has low variability. The bio-resonance module 24 provides a treatment as indicated by the black lines. During this time, the biofeedback module 40 does not report as the readings are spurious. After the bio-resonance treatment, the subject’s heart rate variability has increased.

As shown in Figure 13, in another embodiment of the system, generally referred to as 690, that includes the integrated biofeedback and bio-resonance device 10, the sensors 26 of the biofeedback module 40 are one or more of an electrocardiogram (ECG) monitor, electroencephalogram (EEG) monitor, skin resistance sensors and accelerometer. Electrodes 692 are part of the sensors. There may also be a real-time clock which may be integral with the microcontroller 612 or may be in electronic communication with the microcontroller 612. A cloud-based computing device 600 includes a memory 602 and a processor 604. The memory 602 stores bio-resonance programmes and includes a data analysis and storage module. The memory 602 is configured to instruct the processor 604 to send a selected bio-resonance programme to an interface device 606 which may be a smart phone. The interface device 606 includes a memory 608 and a processor 610. Bio-resonance programmes are also stored in this memory 608. Regardless of the source of the bio-resonance programmes, the interface device 606 send instructions and bio-resonance programmes to the bio-resonance module 24. A microcontroller 612 receives the instructions and the bio-resonance programmes. The microcontroller 612 is shared between the bio-resonance module 24 and the biofeedback module 40. The microcontroller 612 may also store a limited number of bio-resonance programmes and may be configured to analyze biometric datasets. The microcontroller 612 sends the bioresonance programme to a digital to analogue converter 614 of the bio-resonance module 24, where it is turned into a time-varying analogue voltage. The resultant time-varying analogue voltage is sent to a switch 616 which is shared between the bio-resonance module 24 and the biofeedback module 40. The switch 616 switches the signal between the bio-resonance module 24 which includes the digital to analogue converter 614 and at least one LED 620, a plurality LEDs 620 (or a bank of LEDs) and the sensors 26 of the biofeedback module 40. The switch 614, the microcontroller 612, the LEDs 620 and the sensors 26 receive power from a power source 624. In this embodiment, the bioresonance module 24 includes the LEDs 620 and the sensors 26 of the biofeedback module 40 have their own electrodes. When the one or more sensors 26 are switched on, biometric data are collected. The data are fed back to the microcontroller 612 which communicates wirelessly with the interface device 606 and optionally to the cloud-based computing device 600. On the basis of the data, a bio-resonance programme is selected by either the cloud-based computing device 600 or the interface device 606. The switch 616 is switched and a bio-resonance treatment is provided to the user by flashing the LEDs 620. Switching between the LEDs 620 and the sensors 26 of the modules 24, 40 allows for the effect of a bio-resonance treatment to be measured.

As shown in Figure 14, in another alternative embodiment, the sensor 26 is a Magnetocardiography (MCG) sensor 800. It receives magnetic signals from the heart.

As shown in Figure 15, a pendant, generally referred to as 802 houses the MCG sensor 800. As shown in Figure 16, the pendant 802 it located close to a user’s heart.

In yet another embodiment, the PPG sensor 622 or the LED-less PPG sensor 654 is included with one or more of the other sensors 26.

The integrated biofeedback and bio-resonance device 10 allows for real time monitoring of the effect of a bio-resonance treatment. The real time monitoring can include time of day from the real-time clock, which then allows for adjustment of the bio-resonance treatment based on time of day.

Further, the biofeedback module 40 allows for adjustment of a bio-resonance treatment if, for example, the user is exercising or moving around versus being still. The integrated biofeedback and bio-resonance system includes a machine learning module, which is in the cloud-based computing device 600, 700 or in the interface device 606, 706. The machine learning module receives data from the biofeedback module 40 and analyzes the data, then adjusts the bio-resonance treatment programme or develops a new programme.

As would be known to one skilled in the art, the various embodiments described herein are exemplary and therefore non-limiting. The electronics of the integrated biofeedback and bio-resonance device 10 can be housed in any housing, including, but not limited to a watch, a smartwatch, an activity tracker and the like.

While example embodiments have been described in connection with what is presently considered to be an example of a possible most practical and/or suitable embodiment, it is to be understood that the descriptions are not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the example embodiment. Those skilled in the art will recognize or be able to ascertain using no more than routine experimentation, many equivalents to the specific example embodiments specifically described herein. Such equivalents are intended to be encompassed in the scope of the claims, if appended hereto or subsequently filed.

Claims

1 . An integrated biofeedback and bio-resonance device for use with a power source, the integrated biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with the digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module.

2. The integrated biofeedback and bio-resonance device of claim 1 , wherein the biometric sensor is one or more of a photoplethysmography sensor, an LED-less photoplethysmography sensor, an electrocardiogram monitor, an electroencephalogram monitor, a magnetometer, a skin resistance sensor and an accelerometer.

3. The integrated biofeedback and bio-resonance device of claim 2, wherein the biometric sensor is the LED-less photoplethysmography sensor which shares the light emitting diode of the bio-resonance module.

4. The integrated biofeedback and bio-resonance device of claim 2, wherein the biometric sensor is the photoplethysmography sensor.

5. The integrated biofeedback and bio-resonance device of claim 3 or 4, the biofeedback module further comprising the accelerometer.

6. The integrated biofeedback and bio-resonance device of any one of claims 1 to 5, wherein the microcontroller is configured to store bio-resonance programmes.

7. The integrated biofeedback and bio-resonance device of any one of claims 1 to 6, wherein the integrated biofeedback and bio-resonance device is a ring.

8. The integrated biofeedback and bio-resonance device of any one of claims 1 to 6, wherein the integrated biofeedback and bio-resonance device is a strap.

9. The integrated biofeedback and bio-resonance device of any one of claims 1 to 6, wherein the integrated biofeedback and bio-resonance device is a pendant.

10. The integrated biofeedback and bio-resonance device of claim 9, wherein the biometric sensor is the magnetometer.

11 . A system for collecting biometric data and for delivering a bio-resonance treatment, the system comprising: a computing device, which includes a memory and a processor, the memory configured to store bio-resonance programmes; an interface device which is in wireless communication with the computing device and includes a memory and a processor; and an integrated biofeedback and bioresonance device which is in wireless communication with the interface device, the biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one of light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module.

12. The system of claim 11 , wherein the memory of the computing device includes a machine learning module.

13. The system of claim 11 or 12, wherein the memory of the computing device is configured to instruct the processor to analyze a biometric data set.

14. The system of claim 13, wherein the memory of the computing device is configured to instruct the processor to adjust a bio-resonance programme.

15. The system of claim 13, wherein the memory of the computing device is configured to instruct the processor to develop at least one new bio-resonance programme.

16. A method of providing a bio-resonance treatment based on a biometric data set, the method comprising: (i) a user selecting an integrated biofeedback and bioresonance device, the integrated biofeedback and bio-resonance device comprising: a biofeedback module, which includes at least one biometric sensor; a bio-resonance module, which includes a digital to analogue converter and at least one light emitting diode (LED) that is in electronic communication with the digital to analogue converter; a microcontroller, which is in electronic communication with the biofeedback module and the bio-resonance module; and a switch, which is in electronic communication with digital to analogue converter and the LED of the bio-resonance module and the biometric sensor of the biofeedback module, wherein the integrated biofeedback and bio-resonance device is one of a ring, a strap or a pendant; (ii) the user attaching the integrated biofeedback and bio-resonance device to themselves; (iii)the biofeedback sensor collecting a biometric data set and sending the biometric dataset to the microcontroller; (iv) the microcontroller sending a bio-resonance programme to the bio-resonance module; and (v) the user receiving a bio-resonance treatment.

17. The method of claim 16, further comprising the biofeedback module receiving biometric data and the bio-resonance module providing a bio-resonance treatment concomitantly.

18. The method of claim 17, further comprising an accelerometer and a real-time clock providing real-time biometric data and the microcontroller adjusting the bioresonance treatment in real-time.

19. The method of claim 17 or 18, further comprising the microcontroller analyzing biometric data.

20. The method of any one of claims 16 to 20, wherein the integrated biofeedback and bio-resonance device is a ring and the biofeedback sensor is a photoplethysmography sensor.