[go: up one dir, main page]

CN103405222A - Integrated heart rate early warning method - Google Patents

Integrated heart rate early warning method Download PDF

Info

Publication number
CN103405222A
CN103405222A CN2013102992632A CN201310299263A CN103405222A CN 103405222 A CN103405222 A CN 103405222A CN 2013102992632 A CN2013102992632 A CN 2013102992632A CN 201310299263 A CN201310299263 A CN 201310299263A CN 103405222 A CN103405222 A CN 103405222A
Authority
CN
China
Prior art keywords
heart rate
signal
integrated
early warning
omega
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2013102992632A
Other languages
Chinese (zh)
Inventor
惠国华
周瑶
杜桂苏
顾佳璐
蔡七月
周于人
詹玉丽
李晨迪
马美娟
李曼
邵拓
陈静
蔡艳芳
许晓岚
王南露
黄洁
王敏敏
郑海霞
李穗霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Gongshang University
Original Assignee
Zhejiang Gongshang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Gongshang University filed Critical Zhejiang Gongshang University
Priority to CN2013102992632A priority Critical patent/CN103405222A/en
Publication of CN103405222A publication Critical patent/CN103405222A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

本发明公开了一种集成化心率预警方法,使用者佩戴一种便携式的集成系统,通过集成在系统中的无线心率传感器检测使用者的心电信号,通过加速度传感器和蓝牙模块进行传输,由心率信号无线接收器,经过放大器的放大后,输入固化有随机共振程序的数字信号处理芯片系统计算随机共振信噪比,得到的结果与事先输入的信噪比值进行比对,如果得到的信噪比大于设定的值,则启动报警信号,驱动报警器进行报警。本发明提供的集成化心率预警方法将心率监护系统,心率信号无线接收器,放大器,数字信号处理芯片系统和报警器高度集成在一个便携式系统中,能够实时采集,实时分析,对心率失常情况给予诊断和报警,实现心率失常的可移动式监测。

The invention discloses an integrated heart rate early warning method. The user wears a portable integrated system, detects the user's ECG signal through a wireless heart rate sensor integrated in the system, and transmits it through an acceleration sensor and a Bluetooth module. After the signal wireless receiver is amplified by the amplifier, it is input into the digital signal processing chip system solidified with the stochastic resonance program to calculate the stochastic resonance signal-to-noise ratio, and the obtained result is compared with the previously input signal-to-noise ratio value. If the ratio is greater than the set value, the alarm signal will be activated and the alarm will be driven to alarm. The integrated heart rate early warning method provided by the present invention highly integrates a heart rate monitoring system, a heart rate signal wireless receiver, an amplifier, a digital signal processing chip system, and an alarm in a portable system, which can collect and analyze in real time, and give timely warning to arrhythmia. Diagnostics and alarms for mobile monitoring of arrhythmias.

Description

A kind of integrated heart rate method for early warning
Technical field
The present invention relates to a kind of heart rate method for early warning, particularly a kind of integrated heart rate method for early warning.
Background technology
Heart disease is to threaten human life and healthy maximum persistent ailment, and it has sudden, difficult prediction, mortality rate high, so patient's electrocardiosignal is carried out to Real-Time Monitoring seems particularly important.If Most patients suffers from potential heart disease, can in life, cause sudden death, endanger quite large.Therefore, the research of radio electrocardiographicmonitoring monitoring system has caused great attention both domestic and external in recent years.
But most electrocardiogram monitor system cost is higher, complicated operation, be difficult to universal use the in the family, concerning general heart rate monitoring system, generally adopts computer to receive wireless or wired monitor signal to realize the purpose of monitoring simultaneously.But no matter be desktop computer computer or notebook, due to the relation of volume and weight, all be inconvenient to carry, can't meet the function of portable heart rate monitoring early warning.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of integrated heart rate method for early warning is provided.
For achieving the above object, the present invention takes following technical proposals to realize:
The invention discloses a kind of integrated heart rate method for early warning, user is worn a kind of portable integrated system, described portable integrated system is integrated heart rate monitoring system, the heart rate signal wireless receiver, amplifier, digital signal processing chip system and alarm, wherein heart rate monitoring system comprises acceleration transducer, wireless heart rate sensor and bluetooth module, by being integrated in the electrocardiosignal of the wireless heart rate sensor detection user in system, by acceleration transducer and bluetooth module, transmit, by the heart rate signal wireless receiver, after the amplification of amplifier, input is solidified with the digital signal processing chip system-computed accidental resonance signal to noise ratio of accidental resonance program, the result obtained is compared with the snr value of input in advance, if the signal to noise ratio obtained is greater than the value of setting, start alarm signal, driving alarm reports to the police, if characteristic peak does not appear in the signal to noise ratio curve, and maximum thinks that lower than setting value the user heart rate is normal, and the trigger alarm device is not reported to the police.
Further, described integrated heart rate early warning system adopts lithium battery as system power supply.
Further, described heart rate signal wireless receiver is Bluetooth Receiver.
Further, the acquisition methods of described heart rate detection signal is: the sample frequency of described electrocardiosignal is 512HZ, and it is the fragment of 1 minute that heart rate signal is divided into some time length, heart rate signal H (t) in real time, and heart rate increased signal delta HR in 1 minute Tminute(t) and average heart rate
Figure BDA00003509157200011
Signal is as follows respectively:
H ( t ) = 50 × f s × n Δt
H N ‾ ( t ) = 1 2 N Σ k = - N N - 1 H ( t + 60 k f s )
ΔHR Tminute(t)=H(t+T)-H(t)
In observation process, in above-mentioned formula, parameter-definition is: T=1, n=3and N=300.
Further, the analytical method of rhythm of the heart signal is: with the real-time rhythm of the heart signal of accidental resonance analysis, this model comprises three factors: bistable state (or multistable) system, input signal and noise source, with one, by power-actuated overdamp Brownian movement of cycle particle, the accidental resonance characteristic is described in the bistable state potential well
dx dt = - dV ( x ) dx + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 1 )
V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation function is:
E[ξ (t) ξ (0)]=2D δ (t), S is input signal strength, I (t) is real-time rhythm of the heart signal averaging, f 0Be frequency modulating signal, D is noise intensity, and a and b are real parameters,
V ( x ) = - 1 4 a x 2 + 2 3 b x 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 b x 3 + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 3 )
Signal to noise ratio is defined as: SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω ) - - - ( 4 )
S (ω) is signal spectral density, S N(Ω) be the noise intensity in signal frequency range.
Aforesaid integrated heart rate method for early warning is in the ARR effect of monitoring and warning cardiac.
Aforesaid integrated heart rate method for early warning is in the effect of monitoring and warning Athletes amount.
Compared with prior art, the present invention has the following advantages: integrated heart rate method for early warning of the present invention is by heart rate monitoring system, the heart rate signal wireless receiver, amplifier, digital signal processing chip system and alarm height are integrated in a portable system, can Real-time Collection, and real-time analysis, the arrhythmia situation is diagnosed and reported to the police, realize the Ambulatory monitoring of arrhythmia.
Further, adopt compact lithium cell as the system power supply support, the highest 12 continuous throughout the twenty-four hour24s of supporting, be convenient to user and wear at any time, and need not often change power supply.
Further, adopt heart rate signal monitoring method provided by the invention, can obtain patient's whole number QRS ripple.
Further, the present invention adopts and is solidificated in the accidental resonance program analysis monitor signal in the signal processing chip system, can detect the analysis small-signal, and rational heart rate analysis model is provided.
Further, integrated heart rate method for early warning provided by the invention, can facilitate the cardiac to carry, and the Real-Time Monitoring real-time analysis, for cardiac's arrhythmia provides early warning, is carried out corresponding treatment in time.
Further, described integrated heart rate method for early warning, can also facilitate the athlete to carry, and the Real-Time Monitoring real-time analysis judges whether athletic quantity of motion is suitable or excessive, in order to adjust in time training plan.
The accompanying drawing explanation
Fig. 1 is the signal to noise ratio curve in the normal and arrhythmia situation of the embodiment of the present invention 1 cardiac patient heart rate.
Fig. 2 is the signal to noise ratio curve of athlete under the different motion state in the embodiment of the present invention 2.
The specific embodiment
Portable integrated heart rate method for early warning provided by the invention, by heart rate monitoring system, the heart rate signal wireless receiver, amplifier, digital signal processing chip system (DSP) and alarm height are integrated in a portable system, wherein heart rate monitoring system comprises acceleration transducer, wireless heart rate sensor and bluetooth module, heart rate monitoring system is for the monitor heart rate signal, the heart rate signal wireless receiver is for receiving monitor signal, the amplifier amplifying signal, the digital signal processing chip system is solidified with the accidental resonance program, be used to analyzing monitor signal.
Heart rate monitoring system wherein, comprise acceleration transducer, wireless heart rate sensor and bluetooth module, wherein the acceleration transducer model is MMA7261QT, and bluetooth module adopts ASB series, and this module is to support a class bluetooth transceiver of 50 meters transmission ranges and 30 milliamperes of operating currents.
Adopt compact lithium cell as the system power supply support, the highest 12 continuous throughout the twenty-four hour24s of supporting.Under the support of Bluetooth technology, the heart rate signal that portable early warning system can monitor heart rate monitoring system can transfer to the heart rate signal wireless receiver, then pass through the amplification of amplifier, input to fixed line and have in the digital signal processing chip system of accidental resonance program and calculate the accidental resonance signal to noise ratio, thereby judge whether to exist the arrhythmia problem, if there is the arrhythmia situation, start alarm signal, drive simultaneously alarm and report to the police, the patient is implemented to medical aid.
In system, the acquisition methods of heart rate detection signal is:
Set up as drag:
The sample frequency of described electrocardiosignal is 512HZ, and it is the fragment of 1 minute that heart rate signal is divided into some time length, heart rate signal H (t) in real time, and heart rate increased signal delta HR in 1 minute Tminute(t) and average heart rate
Figure BDA00003509157200031
Signal is as follows respectively:
H ( t ) = 50 × f s × n Δt
H N ‾ ( t ) = 1 2 N Σ k = - N N - 1 H ( t + 60 k f s )
ΔHR Tminute(t)=H(t+T)-H(t)
In observation process, in above-mentioned formula, parameter-definition is: T=1, n=3and N=300.
In heart rate monitoring system of the present invention,
The analytical method of described heart rate signal is:
Set up following analytical model:
With the real-time rhythm of the heart signal of accidental resonance analysis, this model comprises three factors: bistable state (or multistable) system, input signal and noise source, described accidental resonance characteristic by power-actuated overdamp Brownian movement of cycle particle with one in the bistable state potential well
dx dt = - dV ( x ) dx + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 1 )
V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation function is:
E[ξ (t) ξ (0)]=2D δ (t), S is input signal strength, I (t) is real-time rhythm of the heart signal averaging, f 0Be frequency modulating signal, D is noise intensity, and a and b are real parameters,
V ( x ) = - 1 4 a x 2 + 2 3 b x 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 b x 3 + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 3 )
Signal to noise ratio is defined as: SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω ) - - - ( 4 )
S (ω) is signal spectral density, S N(Ω) be the noise intensity in signal frequency range.
The present invention is described in further detail below in conjunction with specific embodiment.
Embodiment 1
The accidental resonance signal to noise ratio under normal and not normal two states is as shown in Figure 1 at heart rate for certain cardiac who adopts this integrated heart rate method for early warning record output.
As can be seen from Figure 1, this patient is under the normal state of heart rate, the accidental resonance signal to noise ratio curve of heart rate signal is comparatively stable mild, start rising and reach gradually maximum, start afterwards mild decline, the speed descended is lower than the speed risen, and the signal to noise ratio characteristic peak of normal cardiac rate is also not obvious, and the maximum that still can observe out whole signal to noise ratio curve is-78.5dB.Yet under the state of arrhythmia, at first the accidental resonance signal to noise ratio curve of heart rate signal experiences the comparatively significantly characteristic peak that rises, and occur fast, and characteristic peaks is-77dB.Experienced afterwards once fluctuation, last slow decreasing, the speed of decline is lower than the speed risen, and whole piece signal to noise ratio curve maximum is-76.53dB.
Signal from Heart Rate monitor system wireless transmission, through heart rate signal wireless receptor, receive, and after amplifier amplifies, input is solidified with digital signal processing chip (DSP) the system-computed accidental resonance signal to noise ratio of accidental resonance program, with reference to above result, if characteristic peak-77dB appears in the signal to noise ratio curve, and whole piece signal to noise ratio curve maximum is greater than-76.53dB, think that there is the problem of arrhythmia in the patient, start alarm signal, and drive alarm and report to the police, the patient is implemented to medical aid.If characteristic peak does not appear in whole piece signal to noise ratio curve, and maximum is less than-78.5dB, thinks that Heart Rate is normal, and the trigger alarm device does not carry out early warning.
Embodiment 2
Adopt the signal to noise ratio of certain athlete under the four kinds of states of standing, take a walk, jog and play soccer of this integrated heart rate method for early warning record output as shown in Figure 2.
From Fig. 2, can observe out, the athlete is under the state of standing, and the accidental resonance signal to noise ratio characteristic peaks of heart rate signal is-76dB.Under the state of taking a walk, the accidental resonance signal to noise ratio characteristic peaks of heart rate signal is-74dB.Under the state of jogging, the accidental resonance signal to noise ratio characteristic peaks of heart rate signal is-68dB.Under the state of playing soccer, the accidental resonance signal to noise ratio characteristic peaks of heart rate signal is-64dB.Therefore can judge athletic kinestate according to real-time heart rate accidental resonance signal to noise ratio characteristic peaks, and then judge whether quantity of motion is suitable or excessive, in order to adjust training plan.
Although the present invention with preferred embodiment openly as above; but it is not to limit the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; can utilize method and the technology contents of above-mentioned announcement to make possible change and modification to technical solution of the present invention; therefore; every content that does not break away from technical solution of the present invention; according to technical spirit of the present invention, to any simple modification, equivalent variations and modification that above embodiment does, all belong to the protection domain of technical solution of the present invention.

Claims (7)

1. integrated heart rate method for early warning, it is characterized in that, user is worn a kind of portable integrated system, described portable integrated system is integrated heart rate monitoring system, the heart rate signal wireless receiver, amplifier, digital signal processing chip system and alarm, wherein heart rate monitoring system comprises acceleration transducer, wireless heart rate sensor and bluetooth module, by being integrated in the electrocardiosignal of the wireless heart rate sensor detection user in system, by acceleration transducer and bluetooth module, transmit, by the heart rate signal wireless receiver, after the amplification of amplifier, input is solidified with the digital signal processing chip system-computed accidental resonance signal to noise ratio of accidental resonance program, the result obtained is compared with the snr value of input in advance, if the signal to noise ratio obtained is greater than the value of setting, start alarm signal, driving alarm reports to the police.
2. integrated heart rate method for early warning according to claim 1, is characterized in that, described integrated heart rate early warning system adopts lithium battery as system power supply.
3. integrated heart rate method for early warning according to claim 1, is characterized in that, described heart rate signal wireless receiver is Bluetooth Receiver.
4. integrated heart rate method for early warning according to claim 1, it is characterized in that, the acquisition methods of described heart rate detection signal is: the sample frequency of described electrocardiosignal is 512HZ, it is the fragment of 1 minute that heart rate signal is divided into some time length, real-time heart rate signal H (t), heart rate increased signal delta HR in 1 minute Tminute(t) and average heart rate
Figure FDA00003509157100011
Signal is as follows respectively:
H ( t ) = 50 × f s × n Δt
H N ‾ ( t ) = 1 2 N Σ k = - N N - 1 H ( t + 60 k f s )
ΔHR Tminute(t)=H(t+T)-H(t)
In observation process, in formula, parameter-definition is: T=1, n=3and N=300.
5. integrated heart rate method for early warning according to claim 1, is characterized in that, described heart rate detection signal analysis method is:
With the real-time rhythm of the heart signal of accidental resonance analysis, this model comprises three factors: bistable state (or multistable) system, input signal and noise source, described accidental resonance characteristic by power-actuated overdamp Brownian movement of cycle particle with one in the bistable state potential well
dx dt = - dV ( x ) dx + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 1 )
V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation function is:
E[ξ (t) ξ (0)]=2D δ (t), S is input signal strength, I (t) is real-time rhythm of the heart signal averaging, f 0Be frequency modulating signal, D is noise intensity, and a and b are real parameters,
V ( x ) = - 1 4 a x 2 + 2 3 b x 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 b x 3 + S sin ( π f 0 t ) + I ( t ) + 3 D ξ ( t ) - - - ( 3 )
Signal to noise ratio is defined as: SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω ) - - - ( 4 )
S (ω) is signal spectral density, S N(Ω) be the noise intensity in signal frequency range.
As the integrated heart rate method for early warning of the described any one of claim 1-5 in the ARR effect of monitoring and warning cardiac.
7. as the effect in monitoring and warning Athletes amount of the integrated heart rate method for early warning of the described any one of claim 1-5.
CN2013102992632A 2013-07-15 2013-07-15 Integrated heart rate early warning method Pending CN103405222A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013102992632A CN103405222A (en) 2013-07-15 2013-07-15 Integrated heart rate early warning method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2013102992632A CN103405222A (en) 2013-07-15 2013-07-15 Integrated heart rate early warning method

Publications (1)

Publication Number Publication Date
CN103405222A true CN103405222A (en) 2013-11-27

Family

ID=49598303

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2013102992632A Pending CN103405222A (en) 2013-07-15 2013-07-15 Integrated heart rate early warning method

Country Status (1)

Country Link
CN (1) CN103405222A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113397554A (en) * 2021-07-14 2021-09-17 上海睿刀医疗科技有限公司 Device and method for electrocardio monitoring
JP2023028631A (en) * 2021-08-20 2023-03-03 シャープ株式会社 Signal processing apparatus, electronic apparatus, signal processing method, and program

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080027337A1 (en) * 2006-06-23 2008-01-31 Dugan Brian M Systems and methods for heart rate monitoring, data transmission, and use
CN101816559A (en) * 2010-04-06 2010-09-01 四川东林科技有限公司 Electrocardiographic monitoring method and electrocardiographic monitor
CN101926656A (en) * 2010-08-23 2010-12-29 秦皇岛市康泰医学系统有限公司 Processing method for simultaneously acquiring fetal heart rate and fetal heart waveform
CN201710350U (en) * 2009-08-21 2011-01-19 徐国栋 Wrist-type heart rate monitor
EP2594195A1 (en) * 2011-11-21 2013-05-22 Zoetronics Technology Co., Ltd. Heart rate alarm system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080027337A1 (en) * 2006-06-23 2008-01-31 Dugan Brian M Systems and methods for heart rate monitoring, data transmission, and use
CN201710350U (en) * 2009-08-21 2011-01-19 徐国栋 Wrist-type heart rate monitor
CN101816559A (en) * 2010-04-06 2010-09-01 四川东林科技有限公司 Electrocardiographic monitoring method and electrocardiographic monitor
CN101926656A (en) * 2010-08-23 2010-12-29 秦皇岛市康泰医学系统有限公司 Processing method for simultaneously acquiring fetal heart rate and fetal heart waveform
EP2594195A1 (en) * 2011-11-21 2013-05-22 Zoetronics Technology Co., Ltd. Heart rate alarm system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
GUOHUA HUI: "Real-time human heart rate monitoring using a wireless sensor network based on stochastic resonance", 《IEEE》 *
惠国华 等: "随机共振信噪比谱分析方法及其初步应用研究", 《传感技术学报》 *
李楠 等: "微弱信号检测的3种非线性方法", 《电力自动化设备》 *
杨祥龙 等: "随机共振技术在弱信号检测中的应用", 《电路与系统学报》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113397554A (en) * 2021-07-14 2021-09-17 上海睿刀医疗科技有限公司 Device and method for electrocardio monitoring
JP2023028631A (en) * 2021-08-20 2023-03-03 シャープ株式会社 Signal processing apparatus, electronic apparatus, signal processing method, and program
JP7691308B2 (en) 2021-08-20 2025-06-11 シャープ株式会社 Signal processing device, electronic device, signal processing method and program

Similar Documents

Publication Publication Date Title
CN104188639B (en) Ambulatory blood pressure continuous monitoring and real-time analysis system
CN202477682U (en) Non-contact intelligent electrocardiogram monitoring system
CN104887192A (en) Intelligent wireless monitoring woman lingerie
CN205054188U (en) Portable mother and infant monitor system
CN104771149A (en) Multidimensional real-time monitoring system for six-minute walk test
CN113288168A (en) Wearable fatigue monitoring of intelligence and early warning system
CN103405222A (en) Integrated heart rate early warning method
KR102241796B1 (en) Apparatus for measuring electrocardiogram, and method of operation the apparatus
CN203861235U (en) Wireless blood oxygen saturation monitoring system device
CN204889965U (en) Human physiology signal pickup assembly
CN103405223A (en) Integrated heart rate early warning system
Abdullah et al. Portable heartbeat rate monitoring system by WSN using LabVIEW
CN202211690U (en) Quick electrocardiograph
CN202776266U (en) Physical and mental monitor
CN103431853A (en) Heart rate monitoring system
CN103431851A (en) Heart rate monitoring method
CN206007242U (en) A kind of wearable cardiac rhythm monitoring device
CN209915985U (en) Portable Bluetooth intelligent electrocardiogram monitoring and early warning system
Sahool et al. Patient monitoring system for cardiovascular patient with body temperature using lab VIEW
CN203314957U (en) Fetal heart monitor
CN202143625U (en) Portable multi-parameter collector based on universal serial bus
CN202568243U (en) Electrocardio measuring equipment based on body space potential
CN105595978A (en) Old-person home-old-aged-caring monitoring system and method based on indoor positioning
CN2820082Y (en) Human movement energy consumption monitor
CN201683891U (en) Automatic blood pressure and heart rate monitoring device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
AD01 Patent right deemed abandoned
AD01 Patent right deemed abandoned

Effective date of abandoning: 20170111