WO2017075856A1 - 基于小波分析远程心电监护与预警系统及方法 - Google Patents

基于小波分析远程心电监护与预警系统及方法 Download PDF

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WO2017075856A1
WO2017075856A1 PCT/CN2015/096538 CN2015096538W WO2017075856A1 WO 2017075856 A1 WO2017075856 A1 WO 2017075856A1 CN 2015096538 W CN2015096538 W CN 2015096538W WO 2017075856 A1 WO2017075856 A1 WO 2017075856A1
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ecg signal
module
ecg
signal
circuit
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PCT/CN2015/096538
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English (en)
French (fr)
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王量弘
樊明辉
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福州大学
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Priority to US15/677,056 priority Critical patent/US20180008159A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006—ECG or EEG signals
    • A—HUMAN NECESSITIES
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    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
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Definitions

  • the invention relates to the field of ECG physiological information collection and monitoring, in particular to a remote ECG monitoring and early warning system and method based on wavelet analysis.
  • Cardiovascular disease is a serious problem facing human beings. These diseases are often sudden or urgent. If the treatment period of gold is delayed, it will pose a threat to the lives of patients. As a result, more and more patients nowadays have the need to monitor, record, and analyze cardiac signals anytime, anywhere.
  • Cardiovascular diseases and cerebrovascular diseases are common health diseases in the elderly. As the society ages, the number of empty nesters is increasing, and they often cannot receive timely care. For the elderly with heart disease, how to get guardianship and early warning becomes very important in the first time. Correspondingly, it is a portable monitoring system with simple operation and real-time monitoring.
  • the current wireless ECG physiological information collection system requires a relatively complicated mechanical support system, which is easy to restrict the user's actions, and also uses an electrode fixed acquisition system, but Fix with a sticky electrode, and wear it for a long time, which may cause uncomfortable symptoms such as discomfort and skin irritation.
  • the traditional wireless ECG physiological information collection system does not have a terminal intelligent system, and lacks a human-computer interaction module. The user needs to have certain medical knowledge to use the device well.
  • the traditional system can only give real-time ECG signals or technology in recent years.
  • the analysis of data needs to rely on a large-scale data analysis platform, and then the data analysis results are transmitted back to the user, which not only takes more time, There is no storage, analysis and complex signal processing, and it is not possible to actively identify the feature points and eigenvalues of the signal, and it is not possible to give preliminary screening and warning information based on this.
  • the object of the present invention is to provide a remote ECG monitoring and early warning system and method based on wavelet analysis, which overcomes the shortcomings of the traditional ECG signal acquisition system, and adopts a remote ECG based on wavelet analysis and ultra-low power Bluetooth technology.
  • ECG ECG monitoring and early warning system to monitor and alert heart signals whenever and wherever.
  • a remote ECG monitoring and early warning system based on wavelet analysis comprising a wireless ECG signal collecting device, a mobile terminal and a cloud storage platform;
  • the wireless ECG signal collecting device is worn by the user a chest for collecting an ECG signal in real time and transmitting the ECG signal to the mobile terminal;
  • the mobile terminal analyzing and processing the received ECG signal by using a wavelet analysis algorithm, and processing the processed ECG
  • the signal is uploaded to the cloud storage platform, and the cloud storage platform is configured to store the user's personal information and the ECG signal and analyze the waveform characteristics of the ECG signal.
  • the wireless ECG signal collection device is a wireless wearable cardiovascular letter No. collecting sensor
  • the sensor comprises an ECG signal acquisition patch, an ECG signal analog circuit, a digital processing circuit, a low power Bluetooth transmitting circuit and a chargeable power supply circuit;
  • the output of the ECG signal acquisition patch is connected to An input end of the electrocardiographic signal analog circuit, an output end of the electrocardiographic signal analog circuit is connected to an input end of the digital processing circuit, and an output end of the digital processing circuit is connected to the low power Bluetooth transmitting Circuit, the low-power Bluetooth transmitting circuit transmits the collected ECG signal to the mobile terminal;
  • the ECG signal acquisition patch, the ECG signal analog circuit, the digital processing circuit, and the low-power Bluetooth transmitting circuit Both are connected to the rechargeable power supply circuit.
  • the mobile terminal includes a low power Bluetooth receiving circuit, a wavelet algorithm analyzing module, an application client module, a data storage module, a display module, and an alarm module; and the low power Bluetooth receiving circuit receives the low power Bluetooth transmitting
  • An output of the low-power Bluetooth receiving circuit is connected to an input end of the wavelet algorithm analyzing module, and the wavelet algorithm analyzing module is configured to analyze the received electrocardiogram signal to obtain an electrocardiogram a waveform characteristic of the signal
  • the output of the wavelet algorithm analysis module is connected to the application client module and the data storage module, and the data storage module is configured to store the ECG signal and analyze the waveform characteristics of the ECG signal
  • the application client module is further connected to the display module and the alarm module, wherein the display module is configured to display an electrocardiographic signal and analyze a waveform characteristic of the ECG signal, and the alarm module is configured to be a user ECG signal.
  • An alarm is issued when an abnormality occurs.
  • the wireless wearable cardiovascular signal acquisition sensor is fixed to the chest of the user by an elastic bandage.
  • the rechargeable power supply circuit includes a lithium battery for the electrocardiogram
  • the signal acquisition patch, the ECG signal analog circuit, the digital processing circuit, and the low-power Bluetooth transmitting circuit are powered; the lithium battery is a rechargeable battery.
  • the senor further includes a notch filter circuit for filtering out 50 Hz AC frequency interference.
  • the mobile terminal further includes a short message sending module, and sends the ECG signal and the waveform characteristic of the analyzed ECG signal to the user's family and the doctor of the hospital.
  • the application client module is configured to control the display module to display an electrocardiographic signal and the waveform analysis feature of the wavelet algorithm analysis module to obtain an ECG signal, and control the alarm module to be issued when an abnormality occurs in the ECG signal.
  • the application client module can also be used to establish a user's personal account and set personal information.
  • the personal information includes a user's name, gender, age, and home address.
  • the mobile terminal is a smart phone.
  • the invention is also implemented by the following method: a method for remote ECG monitoring and early warning based on wavelet analysis, comprising the following steps:
  • Step S1 the user wears the wireless ECG signal collecting device on the chest to collect the ECG signal in real time;
  • Step S2 the ECG signal collecting patch in the wireless ECG signal collecting device sequentially transmits the collected ECG signals to the low-power Bluetooth transmitting circuit through the analog circuit and the digital processing circuit, and the low-power Bluetooth transmitting circuit Sending the collected ECG signal to the mobile terminal;
  • Step S3 The low-power Bluetooth receiving circuit in the mobile terminal receives the ECG signal sent by the low-power Bluetooth transmitting circuit, and transmits the ECG signal to the wavelet algorithm analyzing module for analysis and processing;
  • Step S4 The wavelet analysis algorithm module performs wavelet analysis algorithm processing on the received ECG signal: detecting each peak point of the ECG signal and calculating the time of each interval to obtain a waveform characteristic of the ECG signal;
  • the wavelet analysis algorithm module sends the obtained ECG signal data and its waveform to the application client module;
  • Step S5 the application client module establishes a personal account of the user, and the user can control the display module to display the data of the ECG signal obtained by the wavelet analysis and the waveform thereof through the application client module; If the ECG signal is abnormal, the application client module controls the alarm module to issue an alarm;
  • Step S6 The application client module uploads the processed ECG signal to the cloud storage platform, and the cloud storage platform obtains the waveform of the ECG signal from the user's personal information and the ECG signal and analysis thereof. Features are aggregated and stored.
  • the present invention constructs a portable electronic and network system combining the three technologies of ECG signal acquisition and processing, network service, and back-end platform monitoring.
  • the ECG signal acquisition patch of the present invention is fixed to the user's chest using an elastic bandage, and has no effect on the normal activities of the human body, and the discomfort is greatly reduced.
  • the most popular portable portable products today should be mobile phones.
  • the mobile terminal transfer station of the present invention is a widely used mobile phone, which not only facilitates carrying, but also reduces the cost of the device, so that the system can serve more uses.
  • the mobile terminal is matched with the application client to display the ECG signal and the analyzed data. Allows users to easily manage their personal accounts through the easy-to-use interface of the app.
  • the present invention adopts a remote electrocardiogram (ECG) monitoring and early warning system based on wavelet analysis and ultra low power consumption Bluetooth technology to monitor and alert the heart signal anytime and anywhere; wherein the system provides wearable
  • the acquisition patch can collect the ECG signal in real time whether the user is working, leisure or exercising, and then transmit the ECG signal to the mobile terminal through wireless Bluetooth technology; the mobile terminal can save the ECG signal.
  • the wavelet analysis algorithm analysis module set in the mobile phone is used to analyze the heart disease characteristics, and the ECG signal and the analysis data are displayed in the application client of the mobile phone, and the physiological information that can be presented by the single-lead ECG signal is combined. After a complex and efficient wavelet analysis algorithm, the waveform characteristics of the ECG signal are analyzed.
  • the signal type is actively determined, and then the warning information is determined according to the user's gender, age, etc., so as to timely Remind users to take appropriate action.
  • the user can control the specific function of the APP through the application client, and then send the data to the family or doctor by means of texting or surfing the Internet to achieve the function of remote monitoring, and also transmit the data to the cloud storage platform. Let the data be collected, use big data to analyze the development of the disease and propose the initial screening; doctors can also use the remote login cloud storage platform to call the initial screening data, research and propose the corresponding treatment.
  • Figure 1 shows the overall network architecture of the system of the present invention.
  • FIG. 2 is a schematic block diagram of a system of the present invention.
  • FIG. 3 is a functional block diagram of the system of the present invention.
  • FIG. 4 is a schematic diagram showing the principle of a wavelet analysis algorithm in the present invention.
  • FIG. 5 is a schematic diagram of a functional framework of an application client in the present invention.
  • the embodiment provides a remote ECG monitoring and early warning system based on wavelet analysis, comprising a wireless ECG signal collecting device, a mobile terminal and a cloud storage platform; the wireless ECG signal collecting device is worn on the chest of the user.
  • the method is configured to collect an ECG signal in real time and transmit the ECG signal to the mobile terminal; the mobile terminal analyzes and processes the received ECG signal by using a wavelet analysis algorithm, and uploads the processed ECG signal to
  • the cloud storage platform is configured to store personal information of the user and its ECG signal and analyze waveform characteristics of the ECG signal; the mobile terminal is a smart phone.
  • the system provides a wearable collection patch 11 , which can collect ECG signals at any time whether the user is working, leisure or exercising, and the heart is passed through wireless Bluetooth technology.
  • the electrical signal is transmitted to the mobile relay station 12, and the received ECG signal is analyzed and processed by using a wavelet analysis algorithm implanted in the mobile phone, and the ECG signal and the analyzed data are displayed in the application 14 of the mobile terminal, if the ECG signal If abnormal, a corresponding alarm signal will be issued.
  • the user can use the APP function through the control button on the application 14; then send the data to the remote guardian 15 by means of texting or surfing the Internet, thereby implementing the function of remote monitoring, and also transmitting to the cloud storage platform 13, the doctor passes
  • the terminal can know the heart condition of the user in real time, analyze the collected ECG signals, and promptly give suggestions and help to the user.
  • each user's data can be combined Large databases, so that researchers can call data on this terminal, use big data to analyze the development trend of the disease, and study better treatment methods.
  • the wireless ECG signal collection device is a wireless wearable cardiovascular signal acquisition sensor, and the sensor includes an ECG signal acquisition patch, an ECG signal analog circuit, and digital processing.
  • a circuit, a low-power Bluetooth transmitting circuit, and a chargeable power supply circuit an output end of the ECG signal acquisition patch is connected to an input end of the ECG signal analog circuit, and an output end of the ECG signal analog circuit is connected
  • an output of the digital processing circuit is coupled to the low power Bluetooth transmitting circuit, and the low power Bluetooth transmitting circuit transmits the collected ECG signal to the mobile The terminal;
  • the ECG signal acquisition patch, the ECG signal analog circuit, the digital processing circuit, and the low-power Bluetooth transmitting circuit are all connected to the rechargeable power supply circuit.
  • the wireless wearable cardiovascular signal acquisition sensor is fixed to the chest of the user by an elastic bandage.
  • the rechargeable power supply circuit includes a lithium battery for supplying power to the ECG signal acquisition patch, the ECG signal analog circuit, the digital processing circuit, and the low power Bluetooth transmitting circuit;
  • the battery is a rechargeable battery.
  • the light and reusable lithium battery is used for power supply, and the charging and discharging of the lithium battery is used to reduce the cost of repeatedly purchasing the battery, and the function of charging at any time can be extended to extend the operating time of the system.
  • the senor further includes a notch filter circuit for filtering out 50 Hz AC frequency interference.
  • the wavelet analysis algorithm module set in the mobile phone receives the ECG signal. 41;
  • the wavelet analysis algorithm module can detect each peak point of the ECG signal, and calculate the time 42 of each interval, analyze the shape of the ECG signal, and finally obtain the corresponding value. If the ECG signal is abnormal, the system will automatically The disease category is identified and an early warning action 44 is made, and the application client controls the display module to display the data obtained after the wavelet analysis, so that the user can more intuitively understand the information of the ECG signal.
  • the mobile terminal includes a low power consumption Bluetooth receiving circuit, a wavelet algorithm analysis module, an application client module, a data storage module, a display module, and an alarm module;
  • the Bluetooth receiving circuit receives the ECG signal sent by the low-power Bluetooth transmitting circuit, and the output of the Bluetooth low-power receiving circuit is connected to the input end of the wavelet algorithm analyzing module, and the wavelet algorithm analyzing module is configured to receive
  • the obtained ECG signal analysis obtains the waveform characteristic of the ECG signal
  • the output of the wavelet algorithm analysis module is connected to the application client module and the data storage module, wherein the data storage module is configured to store the ECG signal and
  • the waveform component of the ECG signal is obtained by analyzing;
  • the application client module is further connected to the display module and the alarm module, wherein the display module is configured to display the ECG signal and analyze the waveform characteristics of the ECG signal, the alarm
  • the module is used to issue an alarm when the user's ECG signal is abnormal.
  • the ECG physiological signal is collected through the single channel and multi-channel acquisition technology, and the physiological signal will be transmitted to the content containing the low-power wireless Bluetooth technology.
  • the network transfer station of decryption, data compression, simple media access, RISC processor, and wireless transmission and reception function since the most popular portable portable product should be a mobile phone, the present embodiment uses a smart phone as a network transfer station.
  • the high-capacity memory of the current mobile phone it is possible to realize the simple storage of the detected heart telecom. No., and use the wavelet analysis algorithm set in the mobile phone to judge the extracted signal and give corresponding warning information.
  • the mobile terminal further includes a short message sending module, and sends the ECG signal and the waveform characteristic of the analyzed ECG signal to the user's family and the doctor of the hospital.
  • the application client module is configured to control the display module to display the ECG signal and the wavelet algorithm analysis module to analyze the waveform characteristics of the ECG signal, and control the ECG signal when the abnormality occurs.
  • the alarm module issues an alarm; the application client module can also be used to establish a user's personal account and set personal information.
  • the personal information includes a user's name, gender, age, and home address.
  • the functional framework of the application client allows the user to perform various operations through the application.
  • the user can create a personal account 54, and set personal information (name, gender, age, home address, etc.), wherein the personal account can be used to save all of the user's collection records and analysis records, so that users can anytime, anywhere By looking at your own history, users can easily manage their personal accounts.
  • the currently collected ECG signals and analyzed data will be displayed through the display interface 53 of the display module through the real-time dynamics of the application.
  • the analysis result of the signal is abnormal, the abnormal condition alarm 52 will be immediately activated to prompt the user.
  • the system collects the ECG signal of the human heart through the chest-mounted front-end acquisition module 31, and adopts a single lead method to collect the standard in the chest.
  • Single lead ECG signal It consists of an electrode and a connecting circuit and is attached to the chest. Since the detection system must be worn for a long time, it is low except In addition to noise interference and high performance, it is also necessary to consider low power consumption, plus other circuit requirements - notch filter, mainly used to filter out 50Hz AC frequency interference, because it will be more or less around in use. A variety of signal interference, and the human body is a large antenna, so this 50Hz AC signal will be coupled to the body of the human body.
  • This noise source will cause strong interference to the detection circuit through the human body, especially when the electrophysiological signal is equivalent.
  • the ECG signal can hardly be detected, so the adoption and design of the circuit of the notch filter is very important.
  • the analog-to-digital conversion and signal pre-processing module 32 can process the collected signal, and input the ECG signal to the signal amplification module to perform signal filtering and amplification, so that the signal is easy to be processed later, and the amplified signal is digitally processed and After low-power processing, switching to RF signals makes it easy to transfer and enables the construction of scalable medical instrumentation systems with significant reductions in size, power consumption and overall cost.
  • the ultra-low power wireless signal transmitting module 33 adopts an ultra-low power consumption Bluetooth 4.0 protocol, and includes a high-performance, low-power microprocessor core, which can be used as a controller for the transmitting portion.
  • the ultra-low-power wireless signal receiving module 34 is a mobile terminal receiving module, which adopts the function of the Bluetooth 4.0 of the mobile phone, and can receive signals monitored by the human body, and then waits for an algorithm for analysis and processing.
  • the signal processing module 36 is provided with an early warning algorithm. The module extracts feature points and feature information of the ECG signal based on the wavelet analysis algorithm, and establishes different judgment mechanisms according to different ages and genders to determine whether the extracted signal is normal and gives The corresponding warning information is issued.
  • the singular point detection of the ECG signal is implemented, and the display and storage module 35 can save the ECG signal of the user, and display the collected ECG signal and the data obtained by the algorithm in real time through the mobile phone application program 29, for the user. Provides the most direct use of the function, and can display the acquired waveform and timely alarm reminder in real time.
  • the module is also used as a visual interface program on the smart terminal together with the wireless receiving module and the signal processing module to display the acquired ECG signal waveform, and at the same time give the calculated heart rate and reflect by the electrocardiogram. Other physiological information.
  • the cloud storage platform 37 can aggregate and store data collected by multiple users. After sorting and researching the data, professionals can compare and monitor cases in a certain area, and can also perform long-term treatment on a single case. Monitoring, researching the long-term, group-based development trend of the symptoms, or for scientific analysis. Doctors can also monitor the user's heart condition on this terminal for tracking and diagnosis, providing users with better services, and data aggregation and analysis38 can provide a large amount of data, which is conducive to doctors' overall disease trend. The control and research of the treatment methods.

Abstract

一种基于小波分析远程心电监护与预警系统及方法，包括一无线心电信号采集装置（11）、一移动终端（12）以及一云存储平台（13）。无线心电信号采集装置（11）穿戴于使用者胸前，用以实时采集心电信号并将心电信号传输至移动终端（12）。移动终端（12）采用小波分析算法分析处理接收到的心电信号，并将处理后的心电信号上传至云存储平台（13）。云存储平台（13）用以存储使用者的个人信息以及心电信号分析得到心电信号的波形特征。这种远程心电监护与预警系统克服了传统心电图信号采集系统的不足，采用基于小波分析和超低功耗蓝牙技术的远程心电监护与预警系统，随时随地对心脏信号进行监护与预警。

Description

基于小波分析远程心电监护与预警系统及方法 技术领域
本发明涉及ECG生理信息采集与监测领域，特别是一种基于小波分析远程心电监护与预警系统及方法。
背景技术
心血管疾病是当前人类面临的一个严峻问题，这类疾病往往突发或急发，如果耽误了黄金的治疗期，将会对患者的生命造成威胁。因此，如今，越来越多的患者都有随时随地的监测、记录和分析心脏信号的需要。
心血管疾病及脑血管病变的疾病是老年人常见的健康疾病，而随着社会老龄化程度的加深，空巢老人越来越多，他们往往无法得到及时的照顾。对于患有心脏疾病的老年人来说，如何在第一时间得到监护和预警就变得相当重要了，相应而生的便是操作简单且实时监护的可携式监测系统。
同时，随着经济的发展，生活方式的改变，运动机会减少，饮食精致化，生活压力增加，心血管疾病及脑血管病变的疾病也慢慢扩散到中壮年人群，甚至在30几岁便已发病，往往造成家庭、公司及社会的巨大损失。因此，对于正常生活的中壮年人群，便易的心脏监测、记录和分析也是很有必要的。
当前的无线ECG生理信息采集系统，需要较为复杂的机械支撑体系，容易限制使用者的行动，也有采用电极固定采集系统，但由于使 用黏性电极固定，长时间佩戴会产生不适感、皮肤过敏等不良症状。同时，传统的无线ECG生理信息采集系统，不具备终端智能系统，缺少人机交互模块，使用者需要具有一定的医疗知识才能很好的使用该设备。并且，传统的系统只能给出实时的ECG信号或者是近几年的技术，数据的分析需要依赖于大型的数据分析平台，再将数据分析结果传送回用户，不仅需要花费更多的时间，还不具备存储、分析和复杂信号处理，不能主动识别信号的特征点和特征值，更不能基于此给出初筛与预警信息。
发明内容
有鉴于此，本发明的目的是提供一种基于小波分析远程心电监护与预警系统及方法，克服了传统心电图信号采集系统的不足，采用基于小波分析和超低功耗蓝牙技术的远程心电(ECG)监护与预警系统，随时随地对心脏信号进行监护与预警。
本发明采用以下方案实现：一种基于小波分析远程心电监护与预警系统，包括一无线心电信号采集装置、一移动终端以及一云存储平台；所述无线心电信号采集装置穿戴于使用者胸前，用以实时采集心电信号并将所述心电信号传输至所述移动终端；所述移动终端采用小波分析算法分析处理接收到的所述心电信号，并将处理后的心电信号上传至所述云存储平台，所述云存储平台用以存储使用者的个人信息及其心电信号与分析得到心电信号的波形特征。
进一步地，所述无线心电信号采集装置为一无线穿戴式心血管信 号采集传感器，所述传感器包括心电信号采集贴片、心电信号模拟电路、数字处理电路、低功耗蓝牙发送电路以及可充电供电电路；所述心电信号采集贴片的输出端连接至所述心电信号模拟电路的输入端，所述心电信号模拟电路的输出端连接接至所述数字处理电路的输入端，所述数字处理电路的输出端连接至所述低功耗蓝牙发送电路，所述低功耗蓝牙发送电路将采集到的心电信号发送至所述的移动终端；所述心电信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路均与所述可充电供电电路相连。
进一步地，所述移动终端包括低功耗蓝牙接收电路、小波算法分析模块、应用程序客户端模块、数据存储模块、显示模块以及报警模块；所述低功耗蓝牙接收电路接收低功耗蓝牙发送电路发送的心电信号，所述低功耗蓝牙接收电路的输出端连接至所述的小波算法分析模块的输入端，所述小波算法分析模块用以将接收到的心电信号分析得到心电信号的波形特征，所述的小波算法分析模块的输出端连接至所述应用程序客户端模块以及数据存储模块，所述数据存储模块用以存储心电信号与分析得到心电信号的波形特征；所述应用程序客户端模块还与所述显示模块以及报警模块相连，所述显示模块用以显示心电信号与分析得到心电信号的波形特征，所述报警模块用以当使用者心电信号出现异常时发出报警。
进一步地，所述无线穿戴式心血管信号采集传感器采用弹性绷带固定在使用者的胸部。
进一步地，所述可充电供电电路包括一锂电池，用以对所述心电 信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路供电；所述锂电池为可充电电池。
进一步地，所述传感器还包括一陷波滤波器电路，用以滤掉50Hz的交流频率干扰。
进一步地，所述移动终端还包括一短信发送模块，将心电信号与分析得到心电信号的波形特征发送给使用者的家人与医院的医生。
进一步地，所述应用程序客户端模块用以控制所述显示模块显示心电信号与所述小波算法分析模块分析得到心电信号的波形特征，并当心电信号出现异常时控制所述报警模块发出报警；所述应用客户端模块还可用以建立使用者的个人账户，并设置个人信息。
较佳的，所述个人信息包括使用者的姓名、性别、年龄以及家庭地址。
进一步地，所述的移动终端为智能手机。
本发明还采用以下方法实现：一种基于小波分析远程心电监护与预警方法，包括以下步骤：
步骤S1：使用者将无线心电信号采集装置穿戴于胸前实时采集心电信号；
步骤S2：所述无线心电信号采集装置中的心电信号采集贴片将采集到的心电信号依次经模拟电路与数字处理电路传输至低耗蓝牙发送电路，所述低功耗蓝牙发送电路将采集到的心电信号发送至移动终端；
步骤S3：所述移动终端中的低功耗蓝牙接收电路接收所述低功耗蓝牙发送电路发送的心电信号，并将所述心电信号传输至小波算法分析模块进行分析处理；
步骤S4：所述小波分析算法模块对接收到的心电信号进行小波分析算法处理：检测心电信号的各个峰值点并计算各个间期的时间，得到所述心电信号的波形特征；所述小波分析算法模块将得到的心电信号的数据及其波形发送至应用程序客户端模块；
步骤S5：所述应用程序客户端模块建立使用者的个人账户，使用者可通过所述应用程序客户端模块控制显示模块显示经小波分析后得到的心电信号的数据及其波形；若使用者心电信号出现异常，则所述应用程序客户端模块控制报警模块发出报警；
步骤S6：所述应用程序客户端模块并将处理后的心电信号上传至所述云存储平台，所述云存储平台对使用者的个人信息及其心电信号与分析得到心电信号的波形特征进行汇总与存储。
综上所述，本发明构建一个结合心电信号采集和处理、网络服务、后端平台监控三重技术的随身电子与网络系统。一方面，本发明的ECG信号采集贴片，使用弹性绷带固定在使用者的胸部，对人体正常活动无任何影响，且不适感降低很多。另一方面，如今最普遍的可携式随身产品应属手机，本发明的移动终端中转站就是广为使用的手机，不仅便于携带更降低了设备的成本，让本系统可以服务更多的使用者。同时，在移动终端搭配应用程序客户端，显示心电信号与分析的数据， 让使用者可以通过应用程序的简便界面轻松地管理个人账户。
本发明与现有技术相比，本发明采用基于小波分析和超低功耗蓝牙技术的远程心电(ECG)监护与预警系统，随时随地对心脏信号进行监护与预警；其中该系统中提供穿戴式的采集贴片，无论使用者是在工作、休闲还是在运动，都可以实时的采集到心电信号，再通过无线蓝牙技术将心电信号传输至移动终端；移动终端可保存心电信号，并利用设置在手机中的小波分析算法分析模块进行心脏疾病特征分析，在手机的应用程序客户端中显示心电信号与分析得到的数据，结合单导联ECG信号所能呈现出的生理信息，经过复杂而高效的小波分析算法，分析得到ECG信号的波形特征，一旦检测到不正常的心电信号，会主动判断信号类型，再根据用户的性别、年龄等信息决定是否发出预警信息，以便及时提醒使用者采取相应的措施。另外，使用者可以通过应用程序客户端控制使用APP的具体功能，再利用发短信或者上网等方式，将数据传送给家人或医生，达到远程监护的功能，同时也可将数据传输至云存储平台，让数据得到汇集，借用大数据分析病情的发展并提出初筛建议；医生也可以利用远程登录云存储平台调用初筛的数据，研究并提出相应的治疗方式。
附图说明
图1为本发明的系统整体网络构架。
图2为本发明的系统的原理框图。
图3为本发明的系统的功能框图。
图4为本发明中小波分析算法的原理示意图。
图5为本发明中应用程序客户端的功能框架示意图。
具体实施方式
下面结合附图及实施例对本发明做进一步说明。
本实施例提供一种基于小波分析远程心电监护与预警系统，包括一无线心电信号采集装置、一移动终端以及一云存储平台；所述无线心电信号采集装置穿戴于使用者胸前，用以实时采集心电信号并将所述心电信号传输至所述移动终端；所述移动终端采用小波分析算法分析处理接收到的所述心电信号，并将处理后的心电信号上传至所述云存储平台，所述云存储平台用以存储使用者的个人信息及其心电信号与分析得到心电信号的波形特征；所述的移动终端为智能手机。
在本实施例子中，如图1所示，该系统提供穿戴式的采集贴片11，无论使用者是在工作、休闲还是运动，都可以随时的采集得到心电信号，通过无线蓝牙技术将心电信号传输至手机中转站12，利用植入在手机中的小波分析算法分析处理接收到的心电信号，在手机端的应用程序14中，显示心电信号与分析得到的数据，如果心电信号异常，将会发出相应的报警信号。使用者可以通过应用程序14上的控制按钮使用APP功能；再通过发短信或上网等方式，将数据传送给远方监护人15，实现远程监护的功能，同时也可传输至云存储平台13，医生通过终端可实时了解使用者的心脏情况，分析采集到的心电信号，及时给予使用者建议与帮助。同时每个使用者的数据可汇集形 成大型数据库，以便研究人员在此终端上调用数据，借用大数据分析病情的发展趋势，研究更好的治疗方式。
在本实施例中，如图2所示，所述无线心电信号采集装置为一无线穿戴式心血管信号采集传感器，所述传感器包括心电信号采集贴片、心电信号模拟电路、数字处理电路、低功耗蓝牙发送电路以及可充电供电电路；所述心电信号采集贴片的输出端连接至所述心电信号模拟电路的输入端，所述心电信号模拟电路的输出端连接接至所述数字处理电路的输入端，所述数字处理电路的输出端连接至所述低功耗蓝牙发送电路，所述低功耗蓝牙发送电路将采集到的心电信号发送至所述的移动终端；所述心电信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路均与所述可充电供电电路相连。
在本实施例中，所述无线穿戴式心血管信号采集传感器采用弹性绷带固定在使用者的胸部。
在本实施例中，所述可充电供电电路包括一锂电池，用以对所述心电信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路供电；所述锂电池为可充电电池。其中轻薄可重复使用的锂电池供电，借助锂电池的充放电，降低系统重复购置电池的成本，并实现可随时充电的功能，以延长系统操作时间。
在本实施例中，所述传感器还包括一陷波滤波器电路，用以滤掉50Hz的交流频率干扰。
在本实施例中，如图4所示的小波算法的实现，根据分析和处理心电信号的原理，在手机中设置的小波分析算法模块，接收ECG信号 41；小波分析算法模块可检测到心电信号的各个峰值点，并计算各个间期的时间42，对ECG信号的形态进行分析43，最终得到相应的数值，如果ECG信号不正常，系统会自动辨别疾病类别并做出预警动作44，而且应用程序客户端控制所述显示模块显示经小波分析后得到的数据，让用户更加直观的了解到自己心电信号的信息。
在本实施例中，如图2所示，所述移动终端包括低功耗蓝牙接收电路、小波算法分析模块、应用程序客户端模块、数据存储模块、显示模块以及报警模块；所述低功耗蓝牙接收电路接收低功耗蓝牙发送电路发送的心电信号，所述低功耗蓝牙接收电路的输出端连接至所述的小波算法分析模块的输入端，所述小波算法分析模块用以将接收到的心电信号分析得到心电信号的波形特征，所述的小波算法分析模块的输出端连接至所述应用程序客户端模块以及数据存储模块，所述数据存储模块用以存储心电信号与分析得到心电信号的波形特征；所述应用程序客户端模块还与所述显示模块以及报警模块相连，所述显示模块用以显示心电信号与分析得到心电信号的波形特征，所述报警模块用以当使用者心电信号出现异常时发出报警。
在本实施例中，由于以心电信号为主要采集数据，透过单信道与多信道采集技术，完成ECG生理信号的采集，此生理信号将以低功耗无线蓝牙技术传输至含有内含加解密、数据压缩、简易媒体存取、RISC处理器、无线传输接收功能的网络中转站中，因如今最普遍的可携式随身产品应属手机，所以本实施例采用智能手机作为网络中转站。同时利用目前手机高容量的内存，可以实现简易存储已检测到的心电信 号，并借助设置在手机中的小波分析算法判断提取的信号，给出相应的预警信息。
在本实施例中，所述移动终端还包括一短信发送模块，将心电信号与分析得到心电信号的波形特征发送给使用者的家人与医院的医生。
在本实施例中，所述应用程序客户端模块用以控制所述显示模块显示心电信号与所述小波算法分析模块分析得到心电信号的波形特征，并当心电信号出现异常时控制所述报警模块发出报警；所述应用客户端模块还可用以建立使用者的个人账户，并设置个人信息。较佳的，所述个人信息包括使用者的姓名、性别、年龄以及家庭地址。如图5所示，应用程序客户端端的功能框架图，使用者可通过应用程序进行各类的操作。在应用程序客户端，用户可以建立个人账户54，并设置个人信息(姓名、性别、年龄、家庭地址等)，其中个人账户可用于保存使用者所有的采集记录和分析记录，以便使用者随时随地调看自己的历史记录，使用者可以很便捷地管理自己的个人账户。同时，当前采集到的心电信号和分析的数据将通过应用程序的实时动态可通过显示模块的显示界面53得到显示。当然，如果信号的分析结果是异常的，异常情况报警52将会立即启动，及时提醒使用者。
在本实施例中，如图3所示，根据功能框图对该系统进行说明：该系统通过胸贴式前端采集模块31采集人体心脏的心电信号，采用单导联的方式，在胸部采集标准单导联的心电信号。由电极和连接电路构成，贴在胸部。由于检测系统必须长时间配戴使用，因此除了低 噪声干扰与高性能外，还得考虑低功耗，外加其他的电路需求考虑-陷波滤波器，主要用于滤掉50Hz的交流频率干扰，因为在使用过程中周遭或多或少都会存在的各式各样的信号干扰，而人体又是一个大天线，所以会将此50Hz的交流信号耦合到人体的身体，此噪声源透过人体会对检测电路产生强烈干扰，尤其当心电生理信号相当微弱时，只要有此噪声干扰源在，心电讯号就几乎无法检测到，所以陷波滤波器的电路的采用与设计是很重要。
其中，模数转换与信号预处理模块32可以对采集到的信号进行处理，心电信号输入至信号放大模块，做信号的滤波与放大，使信号易于后续处理，放大后的信号经由数字化处理与低功耗处理后，转换至射频信号，易于传送并能够在大大减少尺寸、功耗和总体成本的前提下实现可升级医疗仪器系统的搭建。
另外，超低功耗无线信号发送模块33采用兼容超低功耗蓝牙4.0协议，同时包含高性能、低功耗的微处理器核，可以作为发送部分的控制器。超低功耗无线信号接收模块34，该模块为移动终端接收模块，采用手机自带的蓝牙4.0的功能25，能够接收人体上监测得到的信号，随后等待算法进行分析和处理。带有预警算法信号处理模块36，该模块基于小波分析算法，提取ECG信号的特征点和特征信息，并且根据不同年龄、性别的人群建立不同的判断机制，判断提取到的信号是否正常，并给出相应预警信息。实现对心电信号的奇异点检测，显示与存储模块35能保存使用者的心电信号，并通过手机应用程序29实时显示采集到的心电信号和由算法分析后得到的数据，为用户 提供最直接的使用功能，并能实时显示采集到的波形与及时报警提醒。该模块也在智能终端上和无线接收模块、信号处理模块一起作为终端上的一个带有可视化界面的程序，显示采集到的ECG信号波形，同时给出经过计算得到的心率以及由心电图反映出的其他生理信息。
最后，云存储平台37可将多用户采集得到的数据进行汇总与存储，专业人员可通过整理与研究这些数据后，对某一区域内的病例进行对比监护，也可对某一单一病例进行长期监护，研究病征的长期、群体化发展趋势，或者用于科研分析。医生也可在此终端上监控使用者的心脏情况，以做追踪与诊治之用，为使用者提供更优质的服务，同时数据汇总与分析38可以提供大量的数据，有利于医生对整个病情趋势的掌控和研究者对治疗方法的研究。
以上所述仅为本发明的较佳实施例，凡依本发明申请专利范围所做的均等变化与修饰，皆应属本发明的涵盖范围。

Claims (10)

  1. 一种基于小波分析远程心电监护与预警系统，其特征在于：包括一无线心电信号采集装置、一移动终端以及一云存储平台；所述无线心电信号采集装置穿戴于使用者胸前，用以实时采集心电信号并将所述心电信号传输至所述移动终端；所述移动终端采用小波分析算法分析处理接收到的所述心电信号，并将处理后的心电信号上传至所述云存储平台，所述云存储平台用以存储使用者的个人信息及其心电信号与分析得到心电信号的波形特征。
  2. 根据权利要求1所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述无线心电信号采集装置为一无线穿戴式心血管信号采集传感器，所述传感器包括心电信号采集贴片、心电信号模拟电路、数字处理电路、低功耗蓝牙发送电路以及可充电供电电路；所述心电信号采集贴片的输出端连接至所述心电信号模拟电路的输入端，所述心电信号模拟电路的输出端连接接至所述数字处理电路的输入端，所述数字处理电路的输出端连接至所述低功耗蓝牙发送电路，所述低功耗蓝牙发送电路将采集到的心电信号发送至所述的移动终端；所述心电信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路均与所述可充电供电电路相连。
  3. 根据权利要求1所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述移动终端包括低功耗蓝牙接收电路、小波算法分析模块、应用程序客户端模块、数据存储模块、显示模块以及报警模块；所述低功耗蓝牙接收电路接收低功耗蓝牙发送电路发送的 心电信号，所述低功耗蓝牙接收电路的输出端连接至所述的小波算法分析模块的输入端，所述小波算法分析模块用以将接收到的心电信号分析得到心电信号的波形特征，所述的小波算法分析模块的输出端连接至所述应用程序客户端模块以及数据存储模块，所述数据存储模块用以存储心电信号与分析得到心电信号的波形特征；所述应用程序客户端模块还与所述显示模块以及报警模块相连，所述显示模块用以显示心电信号与分析得到心电信号的波形特征，所述报警模块用以当使用者心电信号出现异常时发出报警；所述应用程序客户端模块用以控制所述显示模块显示心电信号与所述小波算法分析模块分析得到心电信号的波形特征，并当心电信号出现异常时控制所述报警模块发出报警；所述应用客户端模块还可用以建立使用者的个人账户，并设置个人信息。
  4. 根据权利要求2所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述无线穿戴式心血管信号采集传感器采用弹性绷带固定在使用者的胸部。
  5. 根据权利要求2所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述可充电供电电路包括一锂电池，用以对所述心电信号采集贴片、心电信号模拟电路、数字处理电路以及低功耗蓝牙发送电路供电；所述锂电池为可充电电池。
  6. 根据权利要求2所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述传感器还包括一陷波滤波器电路，用以滤掉50Hz的交流频率干扰。
  7. 根据权利要求1所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述移动终端还包括一短信发送模块，将心电信号与分析得到心电信号的波形特征发送给使用者的家人与医院的医生。
  8. 根据权利要求1或3所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述个人信息包括使用者的姓名、性别、年龄以及家庭地址。
  9. 根据权利要求1所述的一种基于小波分析远程心电监护与预警系统，其特征在于：所述的移动终端为智能手机。
  10. 一种基于小波分析远程心电监护与预警方法，其特征在于：包括以下步骤：
    步骤S1：使用者将无线心电信号采集装置穿戴于胸前实时采集心电信号；
    步骤S2：所述无线心电信号采集装置中的心电信号采集贴片将采集到的心电信号依次经模拟电路与数字处理电路传输至低耗蓝牙发送电路，所述低功耗蓝牙发送电路将采集到的心电信号发送至移动终端；
    步骤S3：所述移动终端中的低功耗蓝牙接收电路接收所述低功耗蓝牙发送电路发送的心电信号，并将所述心电信号传输至小波算法分析模块进行分析处理；
    步骤S4：所述小波分析算法模块对接收到的心电信号进行小波分析算法处理：检测心电信号的各个峰值点并计算各个间期的时间，得到所述心电信号的波形特征；所述小波分析算法模块将得到的心电信号的数据及其波形发送至应用程序客户端模块；
    步骤S5：所述应用程序客户端模块建立使用者的个人账户，使用者可通过所述应用程序客户端模块控制显示模块显示经小波分析后得到的心电信号的数据及其波形；若使用者心电信号出现异常，则所述应用程序客户端模块控制报警模块发出报警；
    步骤S6：所述应用程序客户端模块并将处理后的心电信号上传至所述云存储平台，所述云存储平台对使用者的个人信息及其心电信号与分析得到心电信号的波形特征进行汇总与存储。
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