WO2021008364A1 - 一种基于云架构的穿戴式心电监护系统及其监护方法 - Google Patents

一种基于云架构的穿戴式心电监护系统及其监护方法 Download PDF

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WO2021008364A1
WO2021008364A1 PCT/CN2020/099652 CN2020099652W WO2021008364A1 WO 2021008364 A1 WO2021008364 A1 WO 2021008364A1 CN 2020099652 W CN2020099652 W CN 2020099652W WO 2021008364 A1 WO2021008364 A1 WO 2021008364A1
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ecg
doctor
module
data
user
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PCT/CN2020/099652
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English (en)
French (fr)
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刘澄玉
袁森
李建清
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东南大学
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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
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services

Definitions

  • the invention belongs to the technical field of medical health management, and relates to a wearable ECG monitoring system technology based on a cloud architecture.
  • the ECG signal is one of the biological signals that humans have studied and applied to the clinic earlier. It has the characteristics of easy detection and intuitive regularity. ECG signal detection can effectively prevent the occurrence of heart disease.
  • the frequency and form of abnormal ECG can be used as a predictive indicator of heart disease. Doctors can find potential early heart disease information or diagnose the presence of heart disease through the analysis of the ECG. Prescribe the right medicine to the patient.
  • the clinical diagnosis of heart disease is mainly through conventional electrocardiogram detection, which can observe the heart activity from multiple angles. It is generally measured in the resting state. It is characterized by less interference and clear waveforms, and can be used for myocardial infarction, sinus arrhythmia and other diseases. Make a diagnosis.
  • ECG monitoring generally requires patients to go to the hospital for examination. Patients with limited mobility are quite inconvenient, and the time for an ECG examination is limited, often unable to fully reflect the heart activity, nor can it effectively capture the abnormal ECG. Therefore, it is necessary for patients with heart disease to have equipment that can record ECG signals for a long time.
  • the emergence of Holter solves the defect that the clinical ECG cannot be recorded for a long time. It can record the ECG signal for 24 hours or more, which effectively improves the detection rate of abnormal cardiac signals. Holter is usually used for patients with premature beats, but the disadvantage is that it can only record ECG signals and does not have real-time analysis and data transmission functions.
  • the ECG signal collected by the monitoring equipment has large noise interference and various types, and the noise can easily cover the ECG signal at the time of disease, resulting in poor signal integrity and accuracy.
  • software is used to remove noise, but sometimes it is difficult to remove the noise and the source signal due to the equipment hardware.
  • the present invention provides a wearable ECG monitoring system based on cloud architecture and a monitoring method thereof, and designs a more convenient wearable ECG monitoring device, relying on smart phones , Cloud platform and doctors, in order to improve the cloud platform ECG monitoring system and establish a smarter ECG remote monitoring system.
  • the present invention provides the following technical solutions:
  • a wearable ECG monitoring system based on cloud architecture including a wearable ECG monitoring device with data connection, a smart phone APP, a cloud platform server, and a doctor's browser;
  • the wearable ECG monitoring device is used to collect the user's ECG signal, after processing the ECG signal, send the continuous and complete ECG signal to the smartphone APP via Bluetooth;
  • the smart phone APP is used to realize ECG data reception, real-time ECG display, offline ECG management, multi-physiological parameter auxiliary analysis, SOS timely rescue, ECG abnormal algorithm analysis and report sharing, short-term ECG abnormal reports and events Record and reminder, resource management, online doctor consultation and health care, push receiving function;
  • the doctor-side browser is used to realize the functions of doctor personal information management, emergency processing, ECG annotation, record report processing, user family health analysis, health consultation response, instant messaging response, and abnormal ECG database establishment;
  • the cloud platform server is used for Realize data processing, ECG intelligent analysis, storage, and communication functions;
  • the cloud platform server is used to realize data processing, ECG intelligent analysis, storage, and communication functions.
  • the wearable ECG monitoring device includes an ECG processing chip, four flexible wires connected to the ECG processing chip, and four electrode plates respectively connected to the flexible wires, and the four electrode plates are used for Collect ECG signals, including ECG processing circuit and patch lithium battery.
  • the ECG processing circuit includes CPU minimum circuit, ECG acquisition circuit, signal amplification circuit, filter circuit, voltage processing circuit, special processing circuit, Bluetooth data transmission Circuit, low-power management circuit; the ECG acquisition circuit is used to collect the ECG signal, the signal amplification circuit is used to amplify the collected signal, the filter circuit is used to filter out the noise in the amplified signal, and the voltage is processed The circuit is used to adjust the signal voltage position to facilitate AD collection.
  • the special processing circuit includes noise filtering, stable baseline processing circuit, motion artifact recognition circuit, power frequency interference removal and electromyographic interference circuit, which are respectively used for noise filtering of ECG signals , Stabilizing the baseline, removing motion artifacts, removing power frequency interference and EMG interference processing, the Bluetooth data transmission circuit is used to manage the Bluetooth pairing connection between wearable ECG monitoring devices and mobile phones, as well as data packet and transmission; low power consumption
  • the management circuit is responsible for controlling the sleep and wake-up of the equipment in non-working and working states, and the patch lithium battery provides power for the ECG processing circuit.
  • the smart phone APP includes an ECG data receiving module, a real-time ECG module, an offline ECG module, an auxiliary function module, an SOS module, an ECG analysis report module, an event recording and reminding module, a resource management module, and an online doctor Module, push receiving module;
  • the ECG data receiving module is used to establish a Bluetooth connection with a wearable ECG monitoring device and receive ECG data;
  • the real-time ECG module is used to collect, transmit, display, and store real-time ECG data, display heart rate status, display ECG indicators, display ECG waveform parameters, and display device lead position and status;
  • the offline ECG module is used to import, display and store offline data, analyze and upload offline data, and synchronize cloud data;
  • the auxiliary function module is used to analyze the ECG signal, predict and judge various physiological parameters related to the human heart;
  • the SOS module is used to remind the emergency contact user that there is a cardiac abnormality at this time through the one-key reminder function, while recording short-term continuous ECG signals and uploading to the cloud, and notifying the emergency contact user that the emergency contact user is in a dangerous state of heart at this time. Rescue immediately, upload the user's location information at the same time, continue to record the ECG signal and upload it to the cloud, and alert emergency contacts and doctors;
  • the ECG analysis report module is used to provide ECG algorithms, judge and intercept the ECG signals, and then simply classify the abnormal ECG signals, and then package the abnormal ECG signals and the classified data as the original upload to the cloud.
  • Data packets are uploaded to the cloud via Bluetooth for detailed analysis and processing; short-term ECG reports in the cloud can also be obtained, historical reports and queries, disease diagnosis and suggestions, detailed ECG parameters and indicators can be provided; at the same time the report can be shared with relatives , Doctors and others;
  • the event recording and reminding module is used to notify the user of abnormal ECG status through mobile phone vibration and prompt to pay attention to the heart health status in time; used to send medication reminders to the user; provide multiple short-term continuous recording of ECG data functions,
  • the recorded ECG data includes: average heart rate, average breathing rate, maximum/minimum heart rate, three-lead ECG, mood analysis, detailed heart rate information, ECG shape; provide system logs for recording wearable ECG monitoring devices, mobile apps Software system problem information, while monitoring events that occur in the system;
  • the asset management module is used to set and manage personal information and accounts, personal/family health files, equipment and APP information, and ECG data capacity;
  • the online doctor module is used to provide doctors’ health consultations, provide instant messaging between users and private doctors, and provide common questions and knowledge base guidance;
  • the push receiving module is used to send the abnormal ECG data packet to the cloud server, and receive the doctor's diagnosis result pushed by the cloud server.
  • doctor-side browser includes: a doctor's personal information management module, an emergency processing module, an electrocardiogram annotation module, a record report processing module, a user family health analysis module, a health consultation module, an instant messaging module, and an abnormal ECG database module;
  • the doctor personal information management module is used to provide an account management function for the doctor;
  • the emergency processing module is used to receive the user's one-key reminder and one-key alarm ECG data, and treat the one-key reminder information as yellow flashing reminder information, and after the doctor checks it, the segment of the ECG data is included in the user's personal health file according to the selection , The one-key alarm information is processed as the red pop-up message. After the doctor checks it, if there is an emergency, it will notify the family or the ambulance for emergency treatment, and the ECG data will be simultaneously included in the user's personal health file;
  • the ECG annotation module is used to receive the ECG data processed by the ECG intelligent algorithm from the cloud, and draw these data to the screen according to the standard ECG drawings, which is convenient for doctors to view, and can modify the automatic annotation results to give doctors judgment, Obtain the doctor's conclusion, distinguish the types of abnormal ECG, provide doctors' treatment or health advice, and automatically generate Holter report;
  • the record report processing module is used to receive the short-term continuous measurement automatic analysis report sent by the user, which can be provided to the doctor for viewing, and included in the user's personal health file when needed;
  • the user's family health analysis module is used to formulate family health opinions, healthy diet, daily habits, and exercise standards for the user based on the user's doctor follow-up records and family health files.
  • the health consultation module is used to provide doctors with suggestions
  • the instant messaging module is used to reply user information and voice
  • the abnormal ECG database module is used to automatically classify the ECG data according to the ECG abnormal type in the Holter report and the doctor's conclusion, provide a manual modification function, and form an abnormal ECG database.
  • the cloud platform server includes: a personal information management platform, a communication management platform, an ECG intelligent analysis platform, and a data storage management platform;
  • the personal information management platform is used to uniformly manage the information and accounts of users and doctors, establish a user ECG data index, and establish a doctor management user information index;
  • the communication management platform is used to uniformly manage the communication and exchanges between the user and the doctor, provide timely communication between the SOS module of the smartphone APP and the emergency processing module of the doctor’s browser, and control it as the highest priority of system communication. Transmit the ECG automatic analysis report of short-term continuous measurement and feed back the doctor's medical advice;
  • the ECG intelligent analysis platform is used for unified management and automatic analysis of ECG data algorithms, making judgments, drawing conclusions, and forming reports; used for ECG signal preprocessing, feature point positioning and waveform detection, and waveform classification disease diagnosis , And finally get classified diagnosis results; used to establish a multi-physiological parameter signal library, establish the relationship between ECG and respiration, body temperature and sleep, estimate and judge various physiological parameters related to the human heart; used to generate ECG reports and assist Sex work
  • the data storage management platform is used to uniformly manage the storage, modification, verification, search, forwarding, and index management of various data.
  • the present invention also provides a wearable ECG monitoring method based on cloud architecture, including the following steps:
  • the user wears the wearable ECG monitoring device, attaches the RA electrode pad to the first intercostal space of the midclavicular line at the right edge of the sternum, attaches the LA electrode pad to the first intercostal area of the midclavicular line at the left edge of the sternum, and attaches the RL electrode pad to the right Place the LL electrode pad at the costal margin of the left mid-clavicular line;
  • the Bluetooth will automatically connect to the chip on the wearable ECG monitoring device to start collecting ECG data; the ECG signal is transmitted to the ECG processing chip through the conductive electrode, and the ECG processing chip will process the continuous ECG Data is transferred from Bluetooth to the smartphone APP;
  • the smart phone APP displays real-time ECG data and displays various parameters of heart rate status and ECG waveform.
  • the abnormal ECG signal is judged and intercepted through the ECG algorithm, and then the abnormal ECG signal is simply classified and uploaded to the cloud platform server;
  • the cloud platform server uses the ECG intelligent algorithm to obtain detailed automatic diagnosis results and transmit the results to the doctor's browser;
  • the doctor views and modifies the automatic diagnosis results through the doctor’s browser, gives the doctor’s judgment, gets the doctor’s final conclusion, distinguishes the type of abnormal ECG, provides doctors’ treatment or health advice, and uploads them to the cloud platform server for storage.
  • the doctor’s browser according to the doctor The diagnosis conclusion automatically generates Holter report and uploads it to the cloud platform server;
  • the cloud platform server transmits the Holter report to the smartphone APP, and the user can seek medical treatment in a timely manner based on the Holter report, and provide timely and effective health care according to the doctor's advice.
  • the smart phone APP When the smart phone APP receives the one-key reminder button signal on the wearable ECG monitoring device, it continuously records the short-term ECG signal and uploads it to the cloud platform server.
  • the cloud platform server urgently processes the upload signal and sends the automatic marking result to the doctor.
  • Browser After receiving this signal, the doctor’s browser will pop up a yellow flashing reminder message to wait for the doctor to process. The doctor will give reasonable suggestions according to the severity of the situation and feedback to the user through the cloud platform server. The user can follow the doctor’s suggestion Selective archiving of data.
  • the smart phone APP After the smart phone APP receives the one-key alarm button signal on the wearable ECG monitoring device, it uploads the continuous ECG signal to the cloud platform server and uploads the user's location information.
  • the cloud platform server treats this signal as the highest priority of system communication, and sends the continuous ECG signal directly to the doctor's browser without processing, and sends the user's location information to the emergency contact and the doctor's browser; Emergency contacts contact the user for confirmation or direct alarm treatment to save rescue time; after the doctor's browser receives the cloud platform server signal, a red pop-up window will pop up for continuous reminder processing, and the doctor will promptly call the police or ambulance for emergency treatment or contact emergency contact according to the situation People carefully cancel the alarm processing; finally, the user can selectively store the ECG data in the personal health file according to the doctor's suggestion.
  • the user uploads the doctor’s follow-up records and family health files to the cloud platform server.
  • the cloud platform server uses big data to intelligently analyze the genetic heart disease that the user may carry.
  • the cloud platform server uses the family health file to provide a comparative analysis of the relative relationship and analyze the family. The impact on personal health, provide targeted health guidance for individuals and families, and send the guidance to each user's smart phone APP terminal in the family.
  • the present invention has the following advantages and beneficial effects:
  • Wearable ECG monitoring equipment takes advantage of the respective advantages of wearable dry electrode equipment and wet electrode equipment, and can basically meet the requirements of convenient and comfortable wearing; the use of wavy flexible wires to connect the wet electrode makes it convenient for users to wear, basically not Affect the normal activities of users.
  • the ECG signal is judged, intercepted, simply classified, and then packaged and uploaded, which solves the problem of the huge amount of ECG data and the inability to upload in time.
  • Fig. 1 is a schematic diagram of the overall structure of a wearable ECG monitoring system based on a cloud architecture provided by the present invention.
  • Figure 2 is a structural diagram of a wearable ECG monitoring device in the system of the present invention.
  • Figure 3 is a hardware functional structure diagram of the central electrical processing chip of the system of the present invention.
  • Figure 4 is a functional design diagram of the smart phone APP in the system of the present invention.
  • Figure 5 is a functional design diagram of the browser on the doctor end in the system of the present invention.
  • Figure 6 is a functional design diagram of the cloud platform server in the system of the present invention.
  • FIG. 7 is a flowchart of the central electrical automatic analysis algorithm of the present invention.
  • the wearable ECG monitoring system based on cloud architecture provided by the present invention includes: wearable ECG monitoring equipment, smart phone APP, doctor's browser and cloud platform server.
  • the wearable ECG monitoring device is used to collect the user's ECG signal, perform hardware filtering, amplification, and denoising on the ECG signal, and send the continuous and complete ECG signal to the smartphone APP via Bluetooth;
  • the smartphone APP It is used to realize ECG data reception, real-time ECG display, offline ECG management, multi-physiological parameter auxiliary analysis, SOS timely rescue, ECG abnormal algorithm analysis and report sharing, short-term ECG abnormal report and event record and reminder, resources Management, online doctor consultation and health care, push reception and other functions; doctor-side browser, used to realize doctor's personal information management, emergency processing, ECG annotation, record report processing, user family health analysis, health consultation response, instant messaging response, abnormalities ECG database establishment and other functions; cloud platform server is used to realize data processing, ECG intelligent analysis, storage, communication and other functions.
  • the wearable ECG monitoring device includes four electrode plates, flexible wires and an ECG processing chip, and the central electrical processing chip is respectively connected to the four electrode plates through flexible wires.
  • the electrode sheet is composed of conductive electrodes, backing and stickers.
  • special conductive gel is coated on the conductive electrodes and backing.
  • the flexible wire is made of elastic conductive material into a wave shape, which is convenient for the stretching of the electrode sheet and meets the needs of users in different postures.
  • the invention adopts four electrode plates to collect the ECG signal, and adopts standard three-leads for measurement.
  • the ECG processing chip includes an ECG processing circuit and a patch lithium battery.
  • the ECG processing circuit includes not only general processing circuits, but also circuits for special processing of ECG signals.
  • the ECG processing circuit includes the minimum CPU circuit, ECG acquisition circuit, signal amplification circuit, filter circuit, voltage processing circuit, special processing circuit for ECG signal, Bluetooth data transmission circuit, low power management circuit, etc.
  • the central electrical acquisition circuit is used to collect the ECG signal
  • the signal amplifying circuit is used to amplify the collected signal
  • the filter circuit is used to filter out the noise in the amplified signal
  • the voltage processing circuit is used to adjust the signal voltage position for AD collection.
  • Special processing circuits include noise filtering, stable baseline processing circuit, motion artifact recognition circuit, power frequency interference removal and electromyographic interference circuit, mainly used for ECG signal noise filtering, baseline stability, motion artifact removal, and power frequency interference removal And EMG interference, etc.
  • the special processing circuit uses the hardware circuit to remove the interference in advance, reduces the complexity of the software algorithm, and ensures that the ECG signal is more stable and reliable.
  • the Bluetooth data transmission circuit is responsible for managing the Bluetooth pairing connection between the wearable ECG monitoring device and the mobile phone, as well as the data packet and sending; the low power management circuit is responsible for controlling the sleep and wake-up of the device in non-working and working states, ensuring that the device can work stably for a long time .
  • the patch lithium battery provides power for the ECG processing circuit to ensure that the overall chip works normally and provides protection for users to wear it for a long time.
  • the smartphone APP includes 10 functional modules: ECG data receiving module, real-time ECG module, offline ECG module, auxiliary function module, SOS module, ECG analysis report module, event recording and reminding module, Resource management module, online doctor module, push receiving module.
  • ECG data receiving module real-time ECG module
  • offline ECG module offline ECG module
  • auxiliary function module auxiliary function module
  • SOS module ECG analysis report module
  • event recording and reminding module Event recording and reminding module
  • Resource management module online doctor module
  • push receiving module The functions of each module are as follows:
  • ECG data receiving module As the hardware connection basis of wearable ECG monitoring equipment and mobile phone APP, it is responsible for setting Bluetooth parameters, automatically establishing Bluetooth connection with wearable ECG monitoring equipment, and receiving ECG data.
  • Real-time ECG module responsible for real-time ECG data collection, transmission, display, storage, display heart rate status (current/average/maximum/minimum), display ECG indicators such as HRV, and display ECG such as P/QRS/T Waveform parameters, display device lead position and status, etc.
  • Offline ECG module responsible for importing, displaying and storing offline data, analyzing, uploading offline data, and synchronizing cloud data.
  • Auxiliary function module By analyzing the ECG signal, predict and judge various physiological parameters related to the human heart, and provide multi-directional support for the judgment of heart disease.
  • SOS module remind the emergency contact user to have a heart abnormality at this time through the one-key reminder function, and record a short-term (for example, 5 minutes) continuous ECG signal and upload it to the cloud, and the cloud will use this signal as a special signal segment for the doctor to analyze Use; the one-key alarm function informs emergency contacts that the user is in a heart dangerous state at this time and needs immediate rescue.
  • the user's location information is uploaded, and the ECG signal is continuously recorded and uploaded to the cloud to alert emergency contacts and doctors.
  • the cloud uses this signal as an emergency
  • the signal fragments are for doctors to analyze and provide timely solutions for treatment.
  • ECG analysis report module Responsible for providing ECG algorithms (preprocessing, feature extraction, ECG analysis, etc.), judgment and interception of ECG signals, and simple classification of abnormal ECG signals, and then abnormal ECG signals
  • the classified data is packaged and processed as the original data package uploaded to the cloud and uploaded to the cloud via Bluetooth for detailed analysis and processing; the user operates the smartphone APP to automatically generate a short-term ECG report, and this module can obtain the short-term (such as 24h) ECG report, providing historical reports and queries, disease diagnosis and suggestions, detailed ECG parameters and indicators, etc.; at the same time, the report can be shared with relatives, doctors and others.
  • Event record and reminder module Abnormal reminder informs the user of abnormal ECG status through mobile phone vibration and pays attention to heart health in time; medication reminder notifies the user to take medication in time by setting the medication, the number of uses, and the time; user records provide speed ( 30 seconds), recommended (5 minutes) and detailed (30 minutes) short-term continuous recording of ECG data functions.
  • the recording report includes: average heart rate, average breathing rate, maximum/minimum heart rate, three-lead electrocardiogram, mood analysis, Detailed heart rate information, ECG shape, etc.
  • Asset management module Personal information and account management can set and manage the user's basic personal information (including name, gender, height, weight, etc.), contact information (including personal phone numbers, names and phone numbers of emergency contacts and private doctors), Doctor follow-up records (patient medical history), user ECG data index (user file identification in the cloud database, ECG parameters (average heart rate), and predictive abnormality types, etc.), family health files (multiple family members, shared health information, family Overall health assessment, etc.), etc.; device information and use links provide the hardware management ID of the wearable ECG monitoring device and a detailed device instruction video link; APP information and updates provide the APP version number used and prompt updates; ECG Data capacity management records the actual collection time of ECG signals, effective signal time, the total capacity of ECG data in the mobile phone, the total capacity of ECG data on the cloud server, and the number of various reports.
  • ECG Data capacity management records the actual collection time of ECG signals, effective signal time, the total capacity of ECG data in the mobile phone, the total capacity of ECG data on the cloud server,
  • Online doctor module Health consultation provides private doctor services. Private doctors give professional personalized health guidance based on personal health files and ECG analysis reports. Users can also choose doctors of different disciplines to provide different services, mainly divided into : Cardiovascular disease, sleep monitoring, childcare health care, pregnancy health care, and psychological counseling; instant messaging provides information and voice communication between users and private doctors, effectively saving the time and economic cost of communication between both parties; common problems and knowledge base provide Common problem guidance, such as what is heart disease, the types of heart disease, how to prevent heart disease, etc. Provide a variety of diet guidance, such as cardiovascular maintenance, liver maintenance, gastrointestinal maintenance, blood sugar regulation, immunity improvement, etc. maintenance.
  • Push receiving module As the hardware connection basis of mobile APP and cloud server, it sends abnormal ECG data packets to the cloud server, and receives the doctor's diagnosis result pushed by the cloud server.
  • the doctor’s browser includes 8 functional modules: doctor personal information management module, emergency processing module, ECG annotation module, record report processing module, user family health analysis module, health consultation module, instant messaging module, abnormal ECG database module.
  • the 8 module functions designed to match the user's smartphone APP are explained in detail below.
  • Doctor's personal information management module Provide account registration, login (SMS, password, mobile phone APP confirmation login), forget password, personal information change (age, gender, contact information, department, etc.) for the use of doctors, and synchronize to the cloud at the same time Server and user APP), doctors manage user information (personal information of the managed user, family information, ECG abnormal type, etc.) account management functions.
  • Emergency processing module Receive user one-key reminder and one-key alarm ECG data.
  • the one-key reminder information is processed as yellow flashing reminder information, and the doctor can selectively process it. After checking, the doctor can selectively include the piece of ECG data in the user's personal health file according to the ECG data situation.
  • the one-click alarm information is processed as the red pop-up window information, and the doctor must process it, otherwise it will continue to remind or vibrate waiting.
  • the doctor will notify the family or the ambulance for emergency treatment, and the ECG data will be included in the user’s personal health. In the file, doctors and users can modify it later.
  • ECG annotation module Receive the ECG data processed by the ECG intelligent algorithm from the cloud, and draw these data to the screen in accordance with the standard ECG drawings, which is convenient for doctors to view.
  • the doctor can modify the automatic annotation results according to the drawn electronic electrocardiogram, give an accurate and professional doctor's judgment, get the doctor's final conclusion, distinguish the type of abnormal ECG, and provide doctors with treatment or health advice.
  • the system automatically generates Holter report based on the doctor's diagnosis.
  • the generated report includes: basic user information (number, user name, age, gender, examination start time and total examination duration, etc.), report analysis (average heart rate, maximum heart rate, minimum heart rate, QRS wave width, RR interval, PR interval, etc.) Period, QT interval, the number of RR intervals greater than 2 seconds, whether atrial fibrillation, the number of supraventricular premature beats, the number of ventricular premature beats, total heart beats, etc.), the doctor's conclusion (abnormal types: atrial premature beats, ventricular premature beats, etc.) ST depression, T wave changes, atrial fibrillation, etc., the doctor concluded: sinus rhythm, ectopic heart rhythm, paroxysmal atrial fibrillation, atrial flutter, frequent/incidental atrial premature beats with pairs, frequent/incidental ventricular Premature beats appear in pairs, the atrial is not transmitted early, occasionally junctional escape beats, non-sustained atrial tachycardia, no significant changes in ST-T, intermittent ST depression, incomplete
  • Record report processing module Receive the automatic analysis report of short-term continuous measurement sent by the user. As a non-essential viewing item, the doctor can view the user's short-term record report at any time, and give the user professional medical advice based on the conclusion of the record report. When needed, it is included in the user's personal health file.
  • User family health analysis module Doctors formulate professional and systematic family health opinions for each user based on the user's doctor follow-up records (patient medical history) and family health files, and formulate reasonable healthy diet, daily habits, exercise standards, etc. .
  • Health consultation module Provide services to all doctors. Users can consult doctors in different disciplines for professional advice according to recent physical and living conditions. Doctors can according to users' personal requirements, personal/family health files and various ECG analysis reports Give systematic, scientific and personalized professional opinions.
  • Instant messaging module Provide services to private doctors to reply to users' messages and voices.
  • Abnormal ECG database module Automatically classify ECG data according to the type of ECG abnormality in the Holter report and the doctor’s conclusion. The doctor can also manually select and modify to form an abnormal ECG database for the doctor’s future work and Research and use.
  • the cloud platform server serves as a communication bridge between the smartphone APP and the doctor’s browser to achieve data processing, storage, communication and other functions.
  • the cloud platform server mainly designs 4 core platforms, including: personal information management platform, Communication management platform, ECG intelligent analysis platform, data storage management platform.
  • the cloud platform server integration realizes the main functions of the smartphone APP and the doctor's browser, which is the core function link of the present invention. The functions of each platform are described in detail below.
  • Personal information management platform unified management of user and doctor information and accounts. Responsible for adding, deleting and modifying user and doctor information, responsible for user and doctor account password, SMS login verification, account uniqueness management, etc. Establish a user's ECG data index (user file identification, ECG parameters (average heart rate), and predict abnormal types, etc.), and establish a doctor-managed user information index (personal information, family information, and ECG abnormal types of managed users).
  • ECG data index user file identification, ECG parameters (average heart rate), and predict abnormal types, etc.
  • doctor-managed user information index personal information, family information, and ECG abnormal types of managed users.
  • Communication management platform unified management of communication and exchanges between users and doctors.
  • ECG intelligent analysis platform unified management and automatic analysis of ECG data algorithms, making judgments, drawing conclusions, and forming reports.
  • the platform is responsible for the preprocessing of the ECG signal (removal of power frequency interference, baseline drift, EMG interference, motion interference, electrode contact noise, etc.), feature point positioning and waveform detection (using Pan&Tompkins algorithm and wavelet Transformation method for QRS complex positioning and detection), waveform classification disease diagnosis (using the extracted time domain features and frequency domain features to use SVM algorithm for classification diagnosis), and finally the classification diagnosis result is obtained.
  • the platform is responsible for establishing a multi-physiological parameter signal library, establishing the relationship between ECG and respiration, body temperature and sleep, and predicting and judging various physiological parameters related to the human heart.
  • Data storage management platform unified management of storage, modification, verification, search, forwarding, index management, etc. of various data.
  • responsible for the storage and index management of real-time ECG data responsible for the modification and index management of offline ECG data;
  • responsible for ECG data Automatic data analysis results storage, modification, etc. responsible for short-term ECG record report storage, index management, forwarding, etc.; responsible for storing user and doctor information, establishing a database related to users and doctors’ personal information, and establishing personal health files and families Health records;
  • responsible for the modification, storage, index management, and forwarding of 24h dynamic ECG reports responsible for storing and modifying family health opinions; responsible for the establishment of abnormal ECG data , Storage, modification, index management and expansion functions, etc.; at the same time, it is responsible for storing and managing each user’s smartphone APP, each doctor’s
  • the user wears the wearable ECG monitoring device, attaches the RA electrode pad to the first intercostal space of the midclavicular line at the right edge of the sternum, attaches the LA electrode pad to the first intercostal area of the midclavicular line at the left edge of the sternum, and attaches the RL electrode pad to the right Place the LL electrode pad on the left mid-clavicle costal margin.
  • the Bluetooth function of the smartphone APP the Bluetooth will automatically connect to the chip on the wearable ECG monitoring device, and start collecting ECG data.
  • the ECG signal is transmitted to the ECG processing chip via the conductive electrodes, and the ECG processing chip transmits the processed continuous ECG data from Bluetooth to the smartphone APP.
  • the smartphone APP displays real-time ECG data and displays heart rate status, ECG waveform parameters, etc., judges and intercepts abnormal ECG signals through ECG algorithms, and then simply classifies the abnormal ECG signals and uploads them to the cloud platform server .
  • the cloud platform server uses the ECG intelligent algorithm to obtain detailed automatic diagnosis results and transmit the results to the doctor's browser.
  • the doctor can view and modify the automatic diagnosis results through the doctor's browser, give accurate and professional doctor judgments, get the doctor's final conclusion, distinguish the types of abnormal ECG, provide doctors' treatment or health advice, and upload them to the cloud platform server for storage.
  • the doctor’s browser automatically generates a Holter report based on the doctor’s diagnosis and uploads it to the cloud platform server.
  • the cloud platform server transmits the Holter report to the smart phone APP, the user. Users can see a doctor in time according to the Holter report, and take effective health care according to doctor's advice.
  • the smart phone APP when the smart phone APP receives the one-key reminder button signal on the wearable ECG monitoring device, it will continuously record the ECG signal for 5 minutes and upload it to the cloud platform server.
  • the cloud platform server urgently processes the upload signal and will automatically mark it. The result is sent to the doctor's browser. After receiving this signal, the doctor’s browser will pop up a yellow flashing reminder message to wait for the doctor to process. The doctor will give reasonable suggestions according to the severity of the situation and feedback to the user through the cloud platform server. Archived.
  • the smartphone APP After the smartphone APP receives the one-key alarm button signal on the wearable ECG monitoring device, it uploads the continuous ECG signal to the cloud platform server and uploads the user's location information.
  • the cloud platform server treats this signal as the highest priority of the system communication, and sends the continuous ECG signal directly to the doctor's browser without processing, and sends the user's location information to the emergency contact and the doctor's browser.
  • Emergency contacts contact the user for confirmation or direct alarm treatment to save rescue time; after the doctor's browser receives the cloud platform server signal, a red pop-up window will pop up for continuous reminder processing, and the doctor will promptly call the police or ambulance for emergency treatment or contact emergency contact according to the situation People carefully cancel the alarm processing.
  • the user can selectively store the ECG data in the personal health file according to the doctor's recommendation.
  • doctor follow-up records patient medical history
  • family health files multiple family members, shared health information, family overall health assessment, etc.
  • the cloud platform server uses big data intelligent analysis to conclude that the user may carry For genetic heart diseases, we provide systematic suggestions and specific suggestions on user physical examination methods, types, and time planning. If the illness is special or serious, the cloud platform server sends the family health data to the doctor's browser to obtain professional advice.
  • Family health records also include all ECG data analysis when family members use the system. The cloud platform server uses this data to provide comparative analysis of the relationship between relatives, analyze the family’s impact on personal health, and provide targeted health guidance for individuals and families. The guidance will be sent to each user's smart phone APP terminal in the family to achieve continuous tracking of personal and family health status.

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Abstract

一种基于云架构的穿戴式心电监护系统及其监护方法，穿戴式心电监测设备能基本满足穿戴方便、舒适的要求；使用针对心电信号特殊处理的去噪电路，在硬件和软件多层去噪，提高心电信号抗干扰率，保证了信号准确完整性。智能手机端提供的智能心电算法，对心电信号进行判断截取、简易分类后，进行打包上传的方法，解决了心电数据量庞大和不能及时上传的问题。改善自动诊断技术的不足、提高监护系统的效率；利用医生和智能算法的各自优势，完善动态心电报告的内容；完善心脏异常报警机制；完善短时心电异常记录分析机制。在云平台服务器上进行大数据智能分析、建立一个更加智慧的心电远程监护系统。

Description

一种基于云架构的穿戴式心电监护系统及其监护方法 技术领域
本发明属于医疗健康管理技术领域，涉及一种基于云架构的穿戴式心电监护系统技术。
背景技术
随着我国人口快速进入老龄化加之人们生活水平提高、生活节奏加快、工作压力增加，心脏疾病年轻化趋势明显，已成为日益普及、严重威胁人类生命健康的主要疾病之一。另一方面，物联网、大数据、云存储、人工智能等全方位多领域的技术与医疗健康相结合，为心脏疾病的远程监护提供了极大的发展机遇。
心电信号是人类较早研究并应用于临床的生物信号之一，具有易于检测和规律性较直观等特点。心电信号检测可有效预防心脏病的发生，心电图异常的出现频率和形式可作为心脏疾病的预测指示，医生通过对心电图的分析，可以发现潜在的早期心脏疾病信息或诊断出现有心脏疾病，以便对患者对症下药。目前，临床诊断心脏疾病主要是通过常规心电图检测，它可以从多个角度观察心脏活动情况，一般在静卧状态下测量，特点是干扰少，波形清晰，能够对心肌梗塞、窦律失常等疾病进行诊断。常规心电图监测一般需要患者到医院进行检查，行动不便的患者颇为不便，而且一次心电图检查的时间有限，往往不能全面地反应心脏活动情况，也无法有效捕捉到心电异常。因此对于心脏病患者需要有可以长时间记录心电信号的仪器。Holter的出现解决了临床心电图无法长时间记录的缺陷，它可以记录24小时甚至更长时间的心电信号，有效提高了心脏异常信号的检测率。Holter通常用于早搏患者，但缺点是只能记录心电信号，不具有实时分析功能和数据传输功能，患者每天使用后，须到医院通过专用设备读取、回放，并由医生分析诊断Holter中采集的数据，对于突发情况无法进行有效监测，对于长时间心电记录也无法进行算法智能分析，无法提供更加全面可靠的医疗保健指导。
目前为解决传统心电监测的不足，远程心电监护产品快速发展，但是依旧存在很多问题：
(1)对于穿戴式心电监测设备，还未能满足穿戴方便、舒适的要求，心电检测信号干扰大、不稳定。现有设备为减少导线的影响、满足舒适度的要求，使用干性电极代替湿性电极，但是将导致心电采集信号质量差、导联数据少等缺陷。若使用湿性电极，如Holter，则导线外露严重，使得用户穿戴不便，影响正常活动。
(2)监测设备采集到的心电信号噪声干扰大、种类多，噪声很容易覆盖发病时的心电信号，导致信号完整准确性差。一般使用软件去除噪声，但有时由于设备硬件原因导致噪声与源信号重叠度高难以去除。
(3)由于长时间连续监测心电信号，数据量庞大，目前的手机存储容量和网速往往无法满足实时存储和传输的要求。
(4)长时间连续监测心电信号中正常信号占据多数，如果人工查看每个数据帧将造成大量人工浪费。虽然心电监护系统能够保证长时间无间断的采集，但是医生不能长时 间提供诊断，用户得不到及时的反馈。所以远程心电监护系统中需要提供心电自动检测、实时分析诊断的功能。随着人们在心电自动分析诊断领域的不断深入研究，心电自动诊断的准确率也在不断的提高，但是还是无法达到令人满意的程度，现有的技术还不能够完全代替人工诊断，现有方法都存在着一定比例的误检漏检。
(5)监测出问题后用户一般会得到简单的报告，不能满足用户的深层次要求。无法针对用户个人提供针对性专业建议，使远程心电监护后期效果不明显。另外，现有监护产品对采集到的数据不能充分利用、对数据的挖掘不够充分。
发明内容
为解决现有远程心电监护产品中存在的不足，本发明提供了一种基于云架构的穿戴式心电监护系统及其监护方法，设计了较为便捷的穿戴式心电监测设备，依靠智能手机、云平台和医生三个方面，以求完善云平台心电监护体制，建立一个更加智慧的心电远程监护系统。
为了达到上述目的，本发明提供如下技术方案：
一种基于云架构的穿戴式心电监护系统，包括依次具有数据连接的穿戴式心电监测设备、智能手机APP、云平台服务器及医生端浏览器；
所述穿戴式心电监测设备用于采集用户心电信号，对心电信号进行处理后，将持续完整的心电信号通过蓝牙发送至智能手机APP；
所述智能手机APP用于实现心电数据接收、实时心电显示、离线心电管理、多生理参数辅助分析、SOS及时救助、心电异常算法分析和报告分享、短时心电异常报告和事件记录与提醒、资源管理、在线医生咨询与保健、推送接收功能；
所述医生端浏览器，用于实现医生个人信息管理、紧急处理、心电图批注、记录报告处理、用户家庭健康分析、健康咨询回复、即时通讯回复、异常心电数据库建立功能；云平台服务器用于实现数据处理、心电智能分析、存储、通讯功能；
所述云平台服务器用于实现数据处理、心电智能分析、存储、通讯功能。
进一步的，所述穿戴式心电监测设备包括心电处理芯片、与心电处理芯片连接的四根柔性导线、以及分别与各柔性导线连接的四个电极片，所述四个电极片用于采集心电信号，包括心电处理电路和贴片锂电池，所述心电处理电路包含CPU最小电路、心电采集电路、信号放大电路、滤波电路、电压处理电路、特殊处理电路、蓝牙数据传输电路、低功耗管理电路；所述心电采集电路用于采集心电信号，信号放大电路用于对采集到的信号进行放大处理，滤波电路用于滤除放大后信号中的噪声，电压处理电路用于调节信号电压位置便于AD采集，所述特殊处理电路包含滤噪、稳定基线处理电路、运动伪迹识别电路、去除工频干扰和肌电干扰电路，分别用于心电信号的滤噪、稳定基线、去运动伪迹、去工频干扰和肌电干扰处理，所述蓝牙数据传输电路用于管理穿戴式心电监测设备和手机的蓝牙配对连接以及数据的封包和发送；低功耗管理电路负责控制设备在非工作和工作状态的休眠和唤醒，贴片锂电池为心电处理电路提供电源。
进一步的，所述智能手机APP包括心电数据接收模块、实时心电模块、离线心电模块、辅助功能模块、SOS模块、心电分析报告模块、事件记录与提醒模块、资源管理模块、在线医生模块、推送接收模块；
所述心电数据接收模块用于建立与穿戴式心电监测设备的蓝牙连接，并接收心电数据；
所述实时心电模块用于进行实时心电数据的采集、传输、显示、存储，显示心率状态，显示心电指标，显示心电波形参数，显示设备导联位置与状态；
所述离线心电模块用于进行离线数据的导入、显示和存储，离线数据的分析、上传，同步云端数据；
所述辅助功能模块用于分析心电信号，预估判断与人体心脏相关的各类生理参数；
所述SOS模块用于通过一键提醒功能提示紧急联系人用户此时出现心脏异常，同时记录短时连续心电信号上传云端，通过一键告警功能通知紧急联系人用户此时出现心脏危险状态需要立即救助，同时上传用户位置信息，持续记录心电信号上传云端，告警紧急联系人和医生；
所述心电分析报告模块用于提供心电算法，将心电信号进行判断截取，再将异常心电信号进行简易分类后，将异常心电信号和分类数据做打包处理，作为上传云端的原始数据包，并通过蓝牙上传至云端进行详细分析处理；还能够获取云端的短时心电报告，提供历史报告与查询、疾病诊断与建议、详细心电参数与指标；同时能够将报告分享给亲属、医生和其他人；
所述事件记录与提醒模块用于将异常提醒通过手机振动告知用户出现心电异常状况并提示及时关注心脏健康状况；用于向用户发送用药提醒；提供多种短时持续记录心电数据功能，记录的心电数据包括：平均心率、平均呼吸率、最大/最小心率、三导联心电图、情绪分析、详细心率信息、心电形态；提供系统日志用于记录穿戴式心电监测设备、手机APP软件系统问题信息，同时监视系统中发生的事件；
所述资产管理模块用于设置并管理管理个人信息与账号、管理个人/家庭健康档案、管理设备与APP信息、管理心电数据容量；
所述在线医生模块用于提供医生健康咨询，提供用户和私人医生交流的即时通讯，提供常见问题与知识库指导；
所述推送接收模块用于将异常心电数据包发送至云端服务器，接收云端服务器推送的医生诊断结果。
进一步的，所述医生端浏览器包括：医生个人信息管理模块、紧急处理模块、心电图批注模块、记录报告处理模块、用户家庭健康分析模块、健康咨询模块、即时通讯模块、异常心电数据库模块；
所述医生个人信息管理模块用于为使用医生提供账号管理功能；
所述紧急处理模块用于接收用户一键提醒和一键告警心电数据，将一键提醒信息作为黄色闪烁提醒信息处理，待医生查看后根据选择将该片段心电数据归入用户个人健康档案，将一键告警信息作为红色弹窗信息处理，医生查看后如出现紧急情况通知家属或救护车紧急救治，同时同步将心电数据归入用户个人健康档案中；
所述心电图批注模块用于接收来至云端的心电智能算法处理后的心电数据，将这些数据按照心电图标准图纸绘制到屏幕，方便医生查看，并能够修改自动标注结果，给出医生判断，得到医生结论，分辨心电异常类型，提供医生治疗或保健建议，自动生成动态心电 报告；
所述记录报告处理模块用于接收用户发送的短期持续测量的自动分析报告，能够提供给医生查看，并在需要时归入用户的个人健康档案中；
所述用户家庭健康分析模块用于根据用户的医生随访记录和家庭健康档案为用户制定家庭健康意见、健康饮食、起居习惯、运动标准。
所述健康咨询模块用于向用于提供医生建议；
所述即时通讯模块用于回复用户的信息和语音；
所述异常心电数据库模块用于根据动态心电报告中的心电异常类型和医生结论自动将心电数据进行归类，提供手动修改功能，并形成异常心电数据库。
进一步的，所述云平台服务器包括：个人信息管理平台、通信管理平台、心电智能分析平台、数据存储管理平台；
所述个人信息管理平台用于统一管理用户和医生的信息和账号，建立用户心电数据索引，建立医生管理用户信息索引；
所述通信管理平台用于统一管理用户和医生之间的通讯和交流，提供智能手机APP的SOS模块和医生端浏览器的紧急处理模块的及时通讯，控制其作为系统通讯的最高优先级，负责传输短期持续测量的心电自动分析报告并反馈医生的医疗建议；
所述心电智能分析平台用于统一管理自动分析心电数据算法，做出判断、得出结论、形成报告；用于进行心电信号的预处理、特征点定位和波形检测、波形分类疾病诊断，最后得到分类诊断结果；用于建立多生理参数信号库，建立心电与呼吸、体温和睡眠的关系，预估判断与人体心脏相关的各类生理参数；用于生成心电报告及进行辅助性工作；
所述数据存储管理平台用于统一管理各类数据的存储、修改、校验、搜索、转发、索引管理。
本发明还提供了一种基于云架构的穿戴式心电监护方法，包括如下步骤：
用户对穿戴式心电监测设备进行穿戴，将RA电极片贴在胸骨右缘锁骨中线第一肋间，将LA电极片贴在胸骨左缘锁骨中线第一肋间，将RL电极片贴在右锁骨中线肋缘处，将LL电极片贴在左锁骨中线肋缘处；
打开智能手机APP蓝牙功能，蓝牙自动连接穿戴式心电监测设备上的芯片，开始采集心电数据；心电信号经由导电电极传至心电处理芯片，心电处理芯片将处理过后的持续心电数据由蓝牙传输至智能手机APP上；
智能手机APP显示实时心电数据并显示心率状态、心电波形各类参数，通过心电算法将异常心电信号进行判断截取，再将异常心电信号进行简易分类后，上传至云平台服务器；
云平台服务器利用心电智能算法，得到详细的自动诊断结果，将结果传输至医生端浏览器；
医生经医生端浏览器查看修改自动诊断结果，给出医生判断，得到医生最后结论，分辨心电异常类型，提供医生治疗或保健建议，并上传至云平台服务器进行存储，医生端浏览器根据医生诊断结论自动生成动态心电报告同时上传云平台服务器；
云平台服务器将动态心电报告传达给智能手机APP，用户能够根据动态心电报告及时就医，根据医生建议及时有效保健。
进一步的，还包括如下步骤：
当智能手机APP得到穿戴式心电监测设备上的一键提醒按钮信号时，连续记录短时心电信号同步上传至云平台服务器，云平台服务器紧急处理上传信号，将自动标注结果发送到医生端浏览器；医生端浏览器得到此信号后弹出黄色闪烁提醒信息等待医生处理，医生处理时根据情况的严重程度给与合理的建议并通过云平台服务器反馈给用户，用户能够根据医生建议将心电数据选择性的归档保存。
进一步的，还包括如下步骤：
当智能手机APP得到穿戴式心电监测设备上的一键告警按钮信号后，将连续的心电信号上传至云平台服务器，同时上传用户位置信息。云平台服务器将此信号作为系统通讯的最高优先级优先传递处理，将连续的心电信号不经过处理直接发送到医生端浏览器，同时将用户位置信息发送给紧急联系人和医生端浏览器；紧急联系人联系用户确认后报警救治或直接报警救治节约救援时间；医生端浏览器得到云平台服务器信号后紧急弹出红色弹窗持续提醒处理，医生根据情况及时报警或救护车紧急救治或联系紧急联系人慎重取消报警处理；最后用户能够根据医生建议将心电数据选择性的归入个人健康档案保存。
进一步的，还包括如下步骤：
当用户自我感觉心脏不舒服时，使用智能手机APP上的短时持续记录心电数据功能进行心电数据分析、生成自动分析报告并上传至云平台服务器，云平台服务器不加处理直接传输给医生端浏览器，医生端浏览器收到消息后提醒医生查看，医生查看后给出医疗建议并选择归档。
进一步的，还包括如下步骤：
用户上传医生随访记录和家庭健康档案至云平台服务器，云平台服务器使用大数据智能分析，得出用户可能携带的遗传心脏类病症，云平台服务器利用家庭健康档案提供对比分析亲属关联关系，分析家庭对个人健康的影响，为个人和家庭提供针对性的保健指导，并将指导意见发送至家庭每个用户智能手机APP端。
与现有技术相比，本发明具有如下优点和有益效果：
(1)穿戴式心电监测设备利用穿戴式干性电极设备和湿性电极设备各自的优势，能基本满足穿戴方便、舒适的要求；使用波浪形柔性导线连接湿性电极，使用户穿戴方便，基本不影响用户的正常活动。
(2)使用针对心电信号特殊处理的去噪电路，在硬件和软件多层去噪，提高心电信号抗干扰率，保证了信号准确完整性。
(3)利用智能手机端提供的智能心电算法，对心电信号进行判断截取、简易分类后，进行打包上传的方法，解决了心电数据量庞大和不能及时上传的问题。
(4)改善自动诊断技术的不足、提高监护系统的效率；利用医生和智能算法的各自优势，完善动态心电报告的内容；完善心脏异常报警机制；完善短时心电异常记录分析机制。
(5)在云平台服务器上对用户个人/家庭建立电子健康档案和多生理参数预估系统进行大数据智能分析、建立用户和医生多向沟通渠道、制定更加合理完善的医疗保健方案、建立一个更加智慧的心电远程监护系统。
附图说明
图1为本发明提供的基于云架构的穿戴式心电监护系统整体结构示意图。
图2是本发明系统中穿戴式心电监测设备结构图。
图3是本发明系统中心电处理芯片硬件功能结构图。
图4是本发明系统中智能手机APP功能设计图。
图5是本发明系统中医生端浏览器功能设计图。
图6是本发明系统中云平台服务器功能设计图。
图7是本发明中心电自动分析算法流程图。
具体实施方式
以下将结合具体实施例对本发明提供的技术方案进行详细说明，应理解下述具体实施方式仅用于说明本发明而不用于限制本发明的范围。
如图1所示，本发明提供的基于云架构的穿戴式心电监护系统包括：穿戴式心电监测设备、智能手机APP、医生端浏览器以及云平台服务器。其中，穿戴式心电监测设备，用于采集用户心电信号，对心电信号进行硬件滤波、放大、去噪等，并将持续完整的心电信号通过蓝牙发送至智能手机APP；智能手机APP用于实现心电数据接收、实时心电显示、离线心电管理、多生理参数辅助分析、SOS及时救助、心电异常算法分析和报告分享、短时心电异常报告和事件记录与提醒、资源管理、在线医生咨询与保健、推送接收等功能；医生端浏览器，用于实现医生个人信息管理、紧急处理、心电图批注、记录报告处理、用户家庭健康分析、健康咨询回复、即时通讯回复、异常心电数据库建立等功能；云平台服务器用于实现数据处理、心电智能分析、存储、通讯等功能。
具体地说，如图2所示，穿戴式心电监测设备包括四个电极片、柔性导线和心电处理芯片，其中心电处理芯片通过柔性导线分别与四个电极片连接。电极片由导电电极、背衬和贴纸构成，为保证心电信号质量和舒适度，在导电电极和背衬处涂有特制的导电凝胶。柔性导线采用弹性的导电材料做成波浪形状，便于电极片的拉伸、保证不同体态用户的需求。本发明采用四个电极片采集心电信号，采用标准三导联进行测量。
如图3所示，心电处理芯片包括心电处理电路和贴片锂电池，心电处理电路不仅包含一般处理电路，还包含针对心电信号特殊处理的电路。具体的说，心电处理电路包含CPU最小电路、心电采集电路、信号放大电路、滤波电路、电压处理电路、针对心电信号特殊处理电路、蓝牙数据传输电路、低功耗管理电路等。其中心电采集电路用于采集心电信号，信号放大电路用于对采集到的信号进行放大处理，滤波电路用于滤除放大后信号中的噪声，电压处理电路用于调节信号电压位置便于AD采集。特殊处理电路包含滤噪、稳定基线处理电路、运动伪迹识别电路、去除工频干扰和肌电干扰电路，主要用于心电信号的滤噪、稳定基线、去运动伪迹、去工频干扰和肌电干扰等，特殊处理电路利用硬件电路提前去除干扰，降低软件算法的复杂度，保证心电信号更加稳定可靠。蓝牙数据传输电路负责管理穿戴式心电监测设备和手机的蓝牙配对连接以及数据的封包和发送；低功耗管理电路负责控制设备在非工作和工作状态的休眠和唤醒，保证设备可以长期稳定工作。贴片锂电池为心电处理电路提供电源，保证整体芯片工作正常，为用户长时间佩戴提供保障。
如图4所示，智能手机APP包括10个功能模块：心电数据接收模块、实时心电模块、 离线心电模块、辅助功能模块、SOS模块、心电分析报告模块、事件记录与提醒模块、资源管理模块、在线医生模块、推送接收模块。各模块功能如下：
1、心电数据接收模块：作为穿戴式心电监测设备和手机APP的硬件连接基础，负责设置蓝牙参数，自动建立与穿戴式心电监测设备的蓝牙连接，并接收心电数据。
2、实时心电模块：负责实时心电数据的采集、传输、显示、存储，显示心率状态(当前/平均/最大/最小)，显示HRV等心电指标，显示P/QRS/T等心电波形参数，显示设备导联位置与状态等。
3、离线心电模块：负责离线数据的导入、显示和存储，离线数据的分析、上传，同步云端数据等。
4、辅助功能模块：通过分析心电信号，预估判断与人体心脏相关的各类生理参数，为心脏疾病的判断提供多方位的支持。
5、SOS模块：通过一键提醒功能提示紧急联系人用户此时出现心脏异常，同时记录短时(例如5分钟)的连续心电信号上传云端，云端将此段信号作为特殊信号片段供医生分析使用；一键告警功能通知紧急联系人用户此时出现心脏危险状态，需要立即救助，同时上传用户位置信息，持续记录心电信号上传云端，告警紧急联系人和医生，云端将此段信号作为紧急信号片段供医生分析并及时提供方案进行救治。
6、心电分析报告模块：负责提供心电算法(预处理、特征提取、心电分析等)，将心电信号进行判断截取，再将异常心电信号进行简易分类后，将异常心电信号和分类数据做打包处理，作为上传云端的原始数据包，并通过蓝牙上传至云端进行详细分析处理；用户操作智能手机APP可自动生成短时心电报告，本模块能够获取云端的短时(如24h)心电报告，提供历史报告与查询、疾病诊断与建议、详细心电参数与指标等；同时可以将报告分享给亲属、医生和其他人。
7、事件记录与提醒模块：异常提醒通过手机振动告知用户出现心电异常状况并及时关注心脏健康状况；用药提醒通过设定使用的药物、使用次数和时间通知用户及时服药；用户记录提供极速(30秒)、推荐(5分钟)和详细(30分钟)的短时持续记录心电数据功能，该记录报告包含：平均心率、平均呼吸率、最大/最小心率、三导联心电图、情绪分析、详细心率信息、心电形态等，当用户自我感觉心脏不舒服时，使用此功能进行心电数据分析、生成自动分析报告并可以分享给个人医生查看；系统日志记录穿戴式心电监测设备、手机APP软件系统等问题信息，同时还可以监视系统中发生的事件。
8、资产管理模块：个人信息与账号管理可以设置并管理用户个人基本信息(包括姓名、性别、身高、体重等)、联系方式(包括个人电话，紧急联系人和私人医生的姓名和电话)、医生随访记录(患者病史)、用户心电数据索引(云端数据库中用户文件标识、心电参数(平均心率)和预判异常类型等)、家庭健康档案(多个家庭成员、共享健康信息、家庭整体健康状况评估等)等；设备信息与使用链接提供连接穿戴式心电监测设备的硬件管理ID和详细的设备使用说明视频链接；APP信息与更新提供使用的APP版本号和提示更新；心电数据容量管理记录心电信号实际采集时间、有效信号时间、手机内部心电数据总的容量大小、云端服务器上心电数据总的容量大小、各类报告个数等。
9、在线医生模块：健康咨询提供私人医生服务，私人医生根据个人健康档案和心电分析报告给出专业的个性化健康指导，用户还可以选择不同科类的医生进行不同的服 务，主要分为：心血管疾病、睡眠监测、育儿保健、孕期保健、心理咨询五大类；即时通讯提供用户和私人医生间的信息和语音交流，有效节省了沟通双方的时间与经济成本；常见问题与知识库提供常见问题指导，如什么是心脏病、心脏病的种类、怎样预防心脏病等，提供多种饮食指导，如心血管保养、肝脏保养、胃肠道保养、调节血糖类、提高免疫力类等饮食保养。
10、推送接收模块：作为手机APP和云端服务器的硬件连接基础，将异常心电数据包发送至云端服务器，接收云端服务器推送的医生诊断结果等。
如图5所示，医生端浏览器包括8个功能模块：医生个人信息管理模块、紧急处理模块、心电图批注模块、记录报告处理模块、用户家庭健康分析模块、健康咨询模块、即时通讯模块、异常心电数据库模块。主要为配合用户智能手机APP设计的8个模块功能，以下进行详细阐述。
1、医生个人信息管理模块：为使用医生提供账号注册、登陆(短信、密码、手机APP确认登陆)、忘记密码、个人信息更改(年龄、性别、联系方式、所属科类等，同时同步到云端服务器和用户APP)、医生管理用户信息(所管理用户的个人信息、家庭信息、心电异常类型等)等账号管理功能。
2、紧急处理模块：接收用户一键提醒和一键告警心电数据。一键提醒信息作为黄色闪烁提醒信息处理，医生可以选择性的处理，医生查看后可以根据心电数据情况选择性的将该片段心电数据归入用户个人健康档案中。一键告警信息作为红色弹窗信息处理，医生必须进行处理，否则将持续提醒或振动等待，医生查看后如出现紧急情况通知家属或救护车紧急救治，同时同步将心电数据归入用户个人健康档案中，医生和用户后续才可以进行修改。
3、心电图批注模块：接收来至云端的心电智能算法处理后的心电数据，将这些数据按照心电图标准图纸绘制到屏幕，方便医生查看。医生根据绘制的电子心电图可以修改自动标注结果，给出准确、专业的医生判断，得到医生最后结论，分辨心电异常类型，提供医生治疗或保健建议。系统根据医生诊断结论自动生成动态心电报告。生成的报告包含：用户基本信息(编号、用户名、年龄、性别、检查开始时间和检查总时长等)、报告分析(平均心率、最大心率、最小心率、QRS波宽度、RR间期、PR间期、QT间期、大于2秒的RR间期数、是否房颤、室上性早搏数、室性早搏数、总心搏等)、医生结论(异常类型：房性早搏、室性早搏、ST压低、T波改变、房颤等，医生结论：窦性心律、异位心律、阵发性心房颤动、心房扑动、频发/偶发房性早搏伴成对出现、频发/偶发室性早搏伴成对出现、可见房早未下传、偶见交界性逸搏、非持续性房性心动过速、ST-T未见明显改变、间歇性ST压低、不完全性右束支传导阻滞等等)以及各时间段心率总趋势、根据异常类型选取的心电图片段等。
4、记录报告处理模块：接收用户发送的短期持续测量的自动分析报告，作为非必要查看项，医生可以随时查看用户的短期记录报告，根据记录报告的结论给与用户专业的医疗建议，并在需要时归入用户的个人健康档案中。
5、用户家庭健康分析模块：医生根据用户的医生随访记录(患者病史)和家庭健康档案为每个用户制定专业的、系统性的家庭健康意见，制定合理的健康饮食、起居习惯、运动标准等。
6、健康咨询模块：面向全部医生提供服务，用户可以根据近期身体状况和生活状 况征询不同科类的医生专业建议，医生可以根据用户的个人要求、个人/家庭健康档案和各类心电分析报告给出系统的、科学的、个性化的专业意见。
7、即时通讯模块：面向私人医生提供服务，用来回复用户的信息和语音。
8、异常心电数据库模块：根据动态心电报告中的心电异常类型和医生结论自动将心电数据进行归类，医生也可以手动选择修改，形成异常心电数据库，供医生以后的工作和研究使用。
云平台服务器作为连接智能手机APP和医生端浏览器沟通桥梁，实现数据处理、存储、通讯等功能，如图6所示，云平台服务器中主要设计4个核心平台，包括：个人信息管理平台、通信管理平台、心电智能分析平台、数据存储管理平台。云平台服务器整合实现了智能手机APP和医生端浏览器的主要功能，是本发明的核心功能环节，以下对各平台功能进行详细阐述。
1、个人信息管理平台：统一管理用户和医生的信息和账号。负责用户和医生的信息的增加、删除和修改，负责用户和医生的账号密码、短信登陆验证，账号唯一性管理等。建立用户心电数据索引(用户文件标识、心电参数(平均心率)和预判异常类型等)，建立医生管理用户信息索引(所管理用户的个人信息、家庭信息、心电异常类型等)。
2、通信管理平台：统一管理用户和医生之间的通讯和交流。负责智能手机APP的SOS模块和医生端浏览器的紧急处理模块的及时通讯，控制其作为系统通讯的最高优先级，保证出现紧急情况时及时的通讯和救治。负责传输短期持续测量的心电自动分析报告并反馈医生的专业医疗建议。负责智能手机APP的健康咨询功能和即时通讯功能与医生端浏览器的健康咨询模块和即时通讯模块之间通讯。
3、心电智能分析平台：统一管理自动分析心电数据算法，做出判断、得出结论、形成报告。如图7所示，该平台负责心电信号的预处理(去除工频干扰、基线漂移、肌电干扰、运动干扰、电极接触噪声等影响)、特征点定位和波形检测(利用Pan&Tompkins算法和小波变换法对QRS波群定位和检测)、波形分类疾病诊断(利用提取到的时域特征和频域特征使用SVM算法进行分类诊断)，最后得到分类诊断结果。负责建立多生理参数信号库，建立心电与呼吸、体温和睡眠的关系，预估判断与人体心脏相关的各类生理参数。负责生成24h心电报告，报告内容见医生端浏览器心电图批注模块的动态心电报告。负责短期记录报告中异常类型的准确识别、以及各个终端心电报告数据分析的辅助性工作。负责医生端浏览器的心电图绘制、异常类型自动标注、以及标注结果修正、医生结论记录和动态心电报告生成的辅助性工作。
4、数据存储管理平台：统一管理各类数据的存储、修改、校验、搜索、转发、索引管理等。负责实时心电数据的的存储、索引管理等；负责离线心电数据的修改、索引管理等；负责紧急情况的心电数据存储、转发和索引管理，建立紧急情况发生记录数据文件；负责心电数据自动分析结果的存储、修改等；负责短期心电记录报告的存储、索引管理、转发等；负责存储用户和医生的信息，建立与用户和医生个人信息相关的数据库，建立个人健康档案和家庭健康档案；负责存储管理健康咨询医生服务记录、私人医生即时通讯记录；负责24h动态心电报告的修改、存储、索引管理、转发等；负责存储、修改家庭健康意见；负责异常心电数据的建立、存储、修改、索引管理以及拓展功能等；同时负责存储管理各个用户智能手机APP、各个医生端浏览器的型号、版本、系统日志以及所使用的穿戴式心电监测设备的设备 号和各软硬件出现问题的记录反馈等。
本系统主要功能的工作流程如下：
用户对穿戴式心电监测设备进行穿戴，将RA电极片贴在胸骨右缘锁骨中线第一肋间，将LA电极片贴在胸骨左缘锁骨中线第一肋间，将RL电极片贴在右锁骨中线肋缘处，将LL电极片贴在左锁骨中线肋缘处。打开智能手机APP蓝牙功能，蓝牙自动连接穿戴式心电监测设备上的芯片，开始采集心电数据。心电信号经由导电电极传至心电处理芯片，心电处理芯片将处理过后的持续心电数据由蓝牙传输至智能手机APP上。智能手机APP显示实时心电数据并显示心率状态、心电波形各类参数等，通过心电算法将异常心电信号进行判断截取，再将异常心电信号进行简易分类后，上传至云平台服务器。云平台服务器利用心电智能算法，得到详细的自动诊断结果，将结果传输至医生端浏览器。医生经医生端浏览器可以查看修改自动诊断结果，给出准确、专业的医生判断，得到医生最后结论，分辨心电异常类型，提供医生治疗或保健建议，并上传至云平台服务器进行存储。医生端浏览器根据医生诊断结论自动生成动态心电报告同时上传云平台服务器，云平台服务器将动态心电报告传达给智能手机APP即用户。用户可以根据动态心电报告及时就医，根据医生建议及时有效保健。
进一步的，当智能手机APP得到穿戴式心电监测设备上的一键提醒按钮信号时，会连续记录5分钟的心电信号同步上传至云平台服务器，云平台服务器紧急处理上传信号，将自动标注结果发送到医生端浏览器。医生端浏览器得到此信号后弹出黄色闪烁提醒信息等待医生处理，医生处理时根据情况的严重程度给与合理的建议并通过云平台服务器反馈给用户，用户可以根据医生建议将心电数据选择性的归档保存。
智能手机APP在得到穿戴式心电监测设备上的一键告警按钮信号后，将连续的心电信号上传至云平台服务器，同时上传用户位置信息。云平台服务器将此信号作为系统通讯的最高优先级优先传递处理，将连续的心电信号不经过处理直接发送到医生端浏览器，同时将用户位置信息发送给紧急联系人和医生端浏览器。紧急联系人联系用户确认后报警救治或直接报警救治节约救援时间；医生端浏览器得到云平台服务器信号后紧急弹出红色弹窗持续提醒处理，医生根据情况及时报警或救护车紧急救治或联系紧急联系人慎重取消报警处理。最后用户可以根据医生建议将心电数据选择性的归入个人健康档案保存。
当用户自我感觉心脏不舒服时，使用智能手机APP上的短时持续记录心电数据功能进行心电数据分析、生成自动分析报告并上传至云平台服务器，云平台服务器不加处理直接传输给医生端浏览器，医生端浏览器收到消息后提醒医生查看，医生可以随时查看给出医疗建议并选择归档。
用户可以上传医生随访记录(患者病史)和家庭健康档案(多个家庭成员、共享健康信息、家庭整体健康状况评估等)至云平台服务器，云平台服务器使用大数据智能分析，得出用户可能携带的遗传心脏类病症，提出系统化建议，提出用户体检方式、种类和时间规划等针对性建议。如病症特殊或严重，云平台服务器将家庭健康数据发送至医生端浏览器以求获得专业性建议。家庭健康档案还包括家庭成员使用该系统时的所有心电数据分析，云平台服务器利用该数据提供对比分析亲属关联关系，分析家庭对个人健康的影响，为个人和家庭提供针对性的保健指导，并将指导意见发送至家庭每个用户智能手机APP端，实现个人和家庭健康状态的持续性跟踪。
本发明方案所公开的技术手段不仅限于上述实施方式所公开的技术手段，还包括 由以上技术特征任意组合所组成的技术方案。应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也视为本发明的保护范围。

Claims (10)

  1. 一种基于云架构的穿戴式心电监护系统，其特征在于，包括依次具有数据连接的穿戴式心电监测设备、智能手机APP、云平台服务器及医生端浏览器；
    所述穿戴式心电监测设备用于采集用户心电信号，对心电信号进行处理后，将持续完整的心电信号通过蓝牙发送至智能手机APP；
    所述智能手机APP用于实现心电数据接收、实时心电显示、离线心电管理、多生理参数辅助分析、SOS及时救助、心电异常算法分析和报告分享、短时心电异常报告和事件记录与提醒、资源管理、在线医生咨询与保健、推送接收功能；
    所述医生端浏览器，用于实现医生个人信息管理、紧急处理、心电图批注、记录报告处理、用户家庭健康分析、健康咨询回复、即时通讯回复、异常心电数据库建立功能；云平台服务器用于实现数据处理、心电智能分析、存储、通讯功能；
    所述云平台服务器用于实现数据处理、心电智能分析、存储、通讯功能。
  2. 根据权利要求1所述的基于云架构的穿戴式心电监护系统，其特征在于：所述穿戴式心电监测设备包括心电处理芯片、与心电处理芯片连接的四根柔性导线、以及分别与各柔性导线连接的四个电极片，所述四个电极片用于采集心电信号，包括心电处理电路和贴片锂电池，所述心电处理电路包含CPU最小电路、心电采集电路、信号放大电路、滤波电路、电压处理电路、特殊处理电路、蓝牙数据传输电路、低功耗管理电路；所述心电采集电路用于采集心电信号，信号放大电路用于对采集到的信号进行放大处理，滤波电路用于滤除放大后信号中的噪声，电压处理电路用于调节信号电压位置便于AD采集；所述特殊处理电路包含滤噪、稳定基线处理电路、运动伪迹识别电路、去除工频干扰和肌电干扰电路，分别用于心电信号的滤噪、稳定基线、去运动伪迹、去工频干扰和肌电干扰处理，所述蓝牙数据传输电路用于管理穿戴式心电监测设备和手机的蓝牙配对连接以及数据的封包和发送；低功耗管理电路负责控制设备在非工作和工作状态的休眠和唤醒，贴片锂电池为心电处理电路提供电源。
  3. 根据权利要求1所述的基于云架构的穿戴式心电监护系统，其特征在于：所述智能手机APP包括心电数据接收模块、实时心电模块、离线心电模块、辅助功能模块、SOS模块、心电分析报告模块、事件记录与提醒模块、资源管理模块、在线医生模块、推送接收模块；
    所述心电数据接收模块用于建立与穿戴式心电监测设备的蓝牙连接，并接收心电数据；
    所述实时心电模块用于进行实时心电数据的采集、传输、显示、存储，显示心率状态，显示心电指标，显示心电波形参数，显示设备导联位置与状态；
    所述离线心电模块用于进行离线数据的导入、显示和存储，离线数据的分析、上传，同步云端数据；
    所述辅助功能模块用于分析心电信号，预估判断与人体心脏相关的各类生理参数；
    所述SOS模块用于通过一键提醒功能提示紧急联系人用户此时出现心脏异常，同时记录短时连续心电信号上传云端，通过一键告警功能通知紧急联系人用户此时出现心脏危险状态需要立即救助，同时上传用户位置信息，持续记录心电信号上传云端，告警紧急联系人和医生；
    所述心电分析报告模块用于提供心电算法，将心电信号进行判断截取，再将异常心电信号进行简易分类后，将异常心电信号和分类数据做打包处理，作为上传云端的原始数据 包，并通过蓝牙上传至云端进行详细分析处理；还能够获取云端的短时心电报告，提供历史报告与查询、疾病诊断与建议、详细心电参数与指标；同时能够将报告分享给亲属、医生和其他人；
    所述事件记录与提醒模块用于将异常提醒通过手机振动告知用户出现心电异常状况并提示及时关注心脏健康状况；用于向用户发送用药提醒；提供多种短时持续记录心电数据功能，记录的心电数据包括：平均心率、平均呼吸率、最大/最小心率、三导联心电图、情绪分析、详细心率信息、心电形态；提供系统日志用于记录穿戴式心电监测设备、手机APP软件系统问题信息，同时监视系统中发生的事件；
    所述资产管理模块用于设置并管理管理个人信息与账号、管理个人/家庭健康档案、管理设备与APP信息、管理心电数据容量；
    所述在线医生模块用于提供医生健康咨询，提供用户和私人医生交流的即时通讯，提供常见问题与知识库指导；
    所述推送接收模块用于将异常心电数据包发送至云端服务器，接收云端服务器推送的医生诊断结果。
  4. 根据权利要求1所述的基于云架构的穿戴式心电监护系统，其特征在于：所述医生端浏览器包括：医生个人信息管理模块、紧急处理模块、心电图批注模块、记录报告处理模块、用户家庭健康分析模块、健康咨询模块、即时通讯模块、异常心电数据库模块；
    所述医生个人信息管理模块用于为使用医生提供账号管理功能；
    所述紧急处理模块用于接收用户一键提醒和一键告警心电数据，将一键提醒信息作为黄色闪烁提醒信息处理，待医生查看后根据选择将该片段心电数据归入用户个人健康档案，将一键告警信息作为红色弹窗信息处理，医生查看后如出现紧急情况通知家属或救护车紧急救治，同时同步将心电数据归入用户个人健康档案中；
    所述心电图批注模块用于接收来至云端的心电智能算法处理后的心电数据，将这些数据按照心电图标准图纸绘制到屏幕，方便医生查看，并能够修改自动标注结果，给出医生判断，得到医生结论，分辨心电异常类型，提供医生治疗或保健建议，自动生成动态心电报告；
    所述记录报告处理模块用于接收用户发送的短期持续测量的自动分析报告，能够提供给医生查看，并在需要时归入用户的个人健康档案中；
    所述用户家庭健康分析模块用于根据用户的医生随访记录和家庭健康档案为用户制定家庭健康意见、健康饮食、起居习惯、运动标准；
    所述健康咨询模块用于向用于提供医生建议；
    所述即时通讯模块用于回复用户的信息和语音；
    所述异常心电数据库模块用于根据动态心电报告中的心电异常类型和医生结论自动将心电数据进行归类，提供手动修改功能，并形成异常心电数据库。
  5. 根据权利要求1所述的基于云架构的穿戴式心电监护系统，其特征在于：所述云平台服务器包括：个人信息管理平台、通信管理平台、心电智能分析平台、数据存储管理平台；
    所述个人信息管理平台用于统一管理用户和医生的信息和账号，建立用户心电数据索引，建立医生管理用户信息索引；
    所述通信管理平台用于统一管理用户和医生之间的通讯和交流，提供智能手机APP的SOS模块和医生端浏览器的紧急处理模块的及时通讯，控制其作为系统通讯的最高优先级， 负责传输短期持续测量的心电自动分析报告并反馈医生的医疗建议；
    所述心电智能分析平台用于统一管理自动分析心电数据算法，做出判断、得出结论、形成报告；用于进行心电信号的预处理、特征点定位和波形检测、波形分类疾病诊断，最后得到分类诊断结果；用于建立多生理参数信号库，建立心电与呼吸、体温和睡眠的关系，预估判断与人体心脏相关的各类生理参数；用于生成心电报告及进行辅助性工作；
    所述数据存储管理平台用于统一管理各类数据的存储、修改、校验、搜索、转发、索引管理。
  6. 一种基于云架构的穿戴式心电监护方法，其特征在于，包括如下步骤：
    用户对穿戴式心电监测设备进行穿戴，将RA电极片贴在胸骨右缘锁骨中线第一肋间，将LA电极片贴在胸骨左缘锁骨中线第一肋间，将RL电极片贴在右锁骨中线肋缘处，将LL电极片贴在左锁骨中线肋缘处；
    打开智能手机APP蓝牙功能，蓝牙自动连接穿戴式心电监测设备上的芯片，开始采集心电数据；心电信号经由导电电极传至心电处理芯片，心电处理芯片将处理过后的持续心电数据由蓝牙传输至智能手机APP上；
    智能手机APP显示实时心电数据并显示心率状态、心电波形各类参数，通过心电算法将异常心电信号进行判断截取，再将异常心电信号进行简易分类后，上传至云平台服务器；
    云平台服务器利用心电智能算法，得到详细的自动诊断结果，将结果传输至医生端浏览器；
    医生经医生端浏览器查看修改自动诊断结果，给出医生判断，得到医生最后结论，分辨心电异常类型，提供医生治疗或保健建议，并上传至云平台服务器进行存储，医生端浏览器根据医生诊断结论自动生成动态心电报告同时上传云平台服务器；
    云平台服务器将动态心电报告传达给智能手机APP，用户能够根据动态心电报告及时就医，根据医生建议及时有效保健。
  7. 根据权利要求6所述的基于云架构的穿戴式心电监护方法，其特征在于，还包括如下步骤：
    当智能手机APP得到穿戴式心电监测设备上的一键提醒按钮信号时，连续记录短时心电信号同步上传至云平台服务器，云平台服务器紧急处理上传信号，将自动标注结果发送到医生端浏览器；医生端浏览器得到此信号后弹出黄色闪烁提醒信息等待医生处理，医生处理时根据情况的严重程度给与合理的建议并通过云平台服务器反馈给用户，用户能够根据医生建议将心电数据选择性的归档保存。
  8. 根据权利要求6所述的基于云架构的穿戴式心电监护方法，其特征在于，还包括如下步骤：
    当智能手机APP得到穿戴式心电监测设备上的一键告警按钮信号后，将连续的心电信号上传至云平台服务器，同时上传用户位置信息；云平台服务器将此信号作为系统通讯的最高优先级优先传递处理，将连续的心电信号不经过处理直接发送到医生端浏览器，同时将用户位置信息发送给紧急联系人和医生端浏览器；紧急联系人联系用户确认后报警救治或直接报警救治节约救援时间；医生端浏览器得到云平台服务器信号后紧急弹出红色弹窗持续提醒处理，医生根据情况及时报警或救护车紧急救治或联系紧急联系人慎重取消报警处理；最后用户能够根据医生建议将心电数据选择性的归入个人健康档案保存。
  9. 根据权利要求6所述的基于云架构的穿戴式心电监护方法，其特征在于，还包括如下步骤：
    当用户自我感觉心脏不舒服时，使用智能手机APP上的短时持续记录心电数据功能进行心电数据分析、生成自动分析报告并上传至云平台服务器，云平台服务器不加处理直接传输给医生端浏览器，医生端浏览器收到消息后提醒医生查看，医生查看后给出医疗建议并选择归档。
  10. 根据权利要求6所述的基于云架构的穿戴式心电监护方法，其特征在于，还包括如下步骤：
    用户上传医生随访记录和家庭健康档案至云平台服务器，云平台服务器使用大数据智能分析，得出用户可能携带的遗传心脏类病症，云平台服务器利用家庭健康档案提供对比分析亲属关联关系，分析家庭对个人健康的影响，为个人和家庭提供针对性的保健指导，并将指导意见发送至家庭每个用户智能手机APP端。
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