CN103405223A - Integrated heart rate early warning system - Google Patents

Integrated heart rate early warning system Download PDF

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Publication number
CN103405223A
CN103405223A CN2013102995382A CN201310299538A CN103405223A CN 103405223 A CN103405223 A CN 103405223A CN 2013102995382 A CN2013102995382 A CN 2013102995382A CN 201310299538 A CN201310299538 A CN 201310299538A CN 103405223 A CN103405223 A CN 103405223A
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heart rate
signal
integrated
early warning
omega
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CN2013102995382A
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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
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Zhejiang Gongshang University
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Zhejiang Gongshang University
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Abstract

The invention discloses an integrated heart rate early warning system. The integrated heart rate early warning system is a portable integrated system and comprises a heart rate monitoring system, a heart rate signal wireless receiver, an amplifier, a digital signal processing chip system and a warner, wherein the heart rate monitoring system, the heart rate signal wireless receiver, the amplifier, the digital signal processing chip system and the warner are integrated in the system. The heart rate monitoring system comprises an acceleration sensor, a wireless heart rate sensor and a Bluetooth module. The heart rate monitoring system is used for monitoring heart rate signals, the heart rate signal wireless receiver is used for receiving the monitored signals, the amplifier amplifies the signals, and the digital signal processing chip system is solidified with stochastic resonance programs and used for analyzing the monitored signals. According to the integrated heart rate early warning system, the heart rate monitoring system, the heart rate signal wireless receiver, the amplifier, the digital signal processing chip system and the warner are highly integrated in the portable system, real-time collection and real-time analysis can be achieved, arrhythmia situations are diagnosed and warned, and therefore movable monitoring for the arrhythmia situations is achieved.

Description

A kind of integrated heart rate early warning system
Technical field
The present invention relates to a kind of heart rate early warning system, particularly a kind of integrated heart rate early warning system.
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.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of movable type is provided, the heart rate monitoring system that can use in daily family.
For achieving the above object, the present invention takes following technical proposals to realize:
A kind of integrated heart rate early warning system, it is a portable integrated system, described portable integrated system comprises the heart rate monitoring system in the system of being integrated in, the heart rate signal wireless receiver, amplifier, digital signal processing chip system (DSP) and alarm, 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, for analyzing monitor signal.
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 model that obtains 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 BDA00003509318600011
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, be solidificated in the accidental resonance program in the digital signal processing chip system: 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 ( πf 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 ax 2 + 2 3 bx 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 bx 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 early warning system is in the ARR effect of monitoring and warning cardiac.
Aforesaid integrated heart rate early warning system is in the effect of monitoring and warning Athletes amount.
Compared with prior art, the present invention has the following advantages: integrated heart rate 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 model provided by the invention, can obtain patient's whole number QRS ripple.
Further, the present invention is solidificated in the accidental resonance program in the digital signal processing chip system, can detect the analysis small-signal, and rational heart rate analysis model is provided.
Further, integrated heart rate early warning system 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 early warning system, 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 early warning system 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 BDA00003509318600037
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 ax 2 + 2 3 bx 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 bx 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 early warning system 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 early warning system 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 early warning system, it is a portable integrated system, it is characterized in that, described portable integrated system comprises the heart rate monitoring system in the system of being integrated in, 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, 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, for analyzing monitor signal.
2. integrated heart rate early warning system 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 early warning system according to claim 1, is characterized in that, described heart rate signal wireless receiver is Bluetooth Receiver.
4. integrated heart rate early warning system according to claim 1, it is characterized in that, the model that obtains 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 FDA00003509318500016
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 early warning system according to claim 1, is characterized in that, the accidental resonance program that described digital signal processing chip system is solidified 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 ax 2 + 2 3 bx 4 - - - ( 2 )
Therefore formula (1) can be rewritten as:
dx dt = 1 2 ax - 8 3 bx 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 early warning system 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 early warning system of the described any one of claim 1-5.
CN2013102995382A 2013-07-15 2013-07-15 Integrated heart rate early warning system Pending CN103405223A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104997499A (en) * 2015-07-31 2015-10-28 宋晓宇 Intelligent epileptic seizure early warning system based on abnormal heartbeat of epileptic patient

Citations (2)

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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
EP2594195A1 (en) * 2011-11-21 2013-05-22 Zoetronics Technology Co., Ltd. Heart rate alarm system

Patent Citations (2)

* 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
EP2594195A1 (en) * 2011-11-21 2013-05-22 Zoetronics Technology Co., Ltd. Heart rate alarm system

Non-Patent Citations (3)

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Title
GUOHUA HUI: "Real-time human heart rate monitoring using a wireless sensor network based on stochastic resonance", 《 IEEE, E-HEALTH NETWORKING, DIGITAL ECOSYSTEMS AND TECHNOLOGIES (EDT), 2010 INTERNATIONAL CONFERENCE》 *
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 (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104997499A (en) * 2015-07-31 2015-10-28 宋晓宇 Intelligent epileptic seizure early warning system based on abnormal heartbeat of epileptic patient

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