WO2017157187A1 - 衣服及心电数据的处理 - Google Patents

衣服及心电数据的处理 Download PDF

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Publication number
WO2017157187A1
WO2017157187A1 PCT/CN2017/075572 CN2017075572W WO2017157187A1 WO 2017157187 A1 WO2017157187 A1 WO 2017157187A1 CN 2017075572 W CN2017075572 W CN 2017075572W WO 2017157187 A1 WO2017157187 A1 WO 2017157187A1
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WO
WIPO (PCT)
Prior art keywords
ecg data
ecg
processor
lead
current working
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PCT/CN2017/075572
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English (en)
French (fr)
Inventor
王辉
赵亚军
黄汪
Original Assignee
安徽华米信息科技有限公司
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Application filed by 安徽华米信息科技有限公司 filed Critical 安徽华米信息科技有限公司
Priority to US15/677,671 priority Critical patent/US10617356B2/en
Publication of WO2017157187A1 publication Critical patent/WO2017157187A1/zh

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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
    • A61B5/6804—Garments; Clothes

Definitions

  • the present application relates to the processing of clothing and electrocardiographic data in the field of wearable smart device technology.
  • ECG Electrocardiogram
  • lead wires and electrodes can be attached to the body surface to obtain an ECG signal.
  • more lead wires and electrodes may be needed.
  • the limb lead requires at least 3 lead wires and 3 electrodes, and the 12 lead requires 10 lead wires and 10 electrodes.
  • the present application provides a process for clothing and ECG data.
  • the present application provides the following technical solutions.
  • a garment comprising:
  • the flexible electrodes may be arranged in different combinations according to a preset arrangement
  • each of the flexible electrodes being in communication with the electrocardiographic data collector via the lead wire, the electrocardiographic data collector being configured to receive electrocardiographic data collected by the flexible electrode.
  • the garment further comprising a processor coupled to the electrocardiographic data collector
  • the processing method of the ECG data includes:
  • the processor controls the ECG data collector to receive ECG data collected by the flexible electrode corresponding to the current working lead through a lead line corresponding to the current working lead.
  • the ECG data required for ECG monitoring can be collected through the flexible electrode, the lead wire, and the ECG data collector in the clothes.
  • the ECG data collector can be controlled by a processor in the garment. Since the flexible electrode can be arranged according to the body surface of the ECG monitoring and distributed on the clothes, the user can collect the ECG data required for ECG monitoring by wearing the clothes, and determine the health status of the user wearing the clothes according to the ECG data. . ECG monitoring through clothes does not affect the normal life of the user. It is not necessary to stick the lead wires and electrodes to the body surface to obtain ECG data, thereby improving the user experience.
  • FIG. 1 shows a schematic structural view of a garment according to an example of the present application
  • FIG. 2 is a flow chart showing a method of processing ECG data according to an example of the present application
  • 3A is a flow chart showing a method of processing ECG data according to another example of the present application.
  • FIG. 3B is a schematic structural view of a garment according to the method of processing electrocardiogram data shown in FIG. 3A; FIG.
  • FIG. 4 is a flow chart showing a method of processing ECG data according to still another example of the present application.
  • FIG. 5 is a flow chart showing a method of processing ECG data according to still another example of the present application.
  • FIG. 6 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with an example of the present application
  • FIG. 7 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with another example of the present application.
  • FIG. 8 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with yet another example of the present application.
  • FIG. 1 shows a schematic structural view of a garment according to an example of the present application.
  • two or more flexible electrodes such as 110-112, an electrocardiographic data collector 120, and a lead wire for connecting the flexible electrode and the electrocardiographic data collector may be disposed on the garment. 130.
  • each of the two flexible electrodes may be preliminarily formed into a lead.
  • a flexible electrode on the garment corresponding to the position of the right sternal space of the fourth rib space of the body and a flexible electrode corresponding to the position of the central potential end of the body may constitute a front wall lead.
  • the lead wires 130 may be made of flexible conductive fibers.
  • the clothes can also be other tops or pants or the like.
  • the number and location of the flexible electrodes provided on the garment can also be set according to the type of ECG monitoring that the garment can implement.
  • the garment can include a processor coupled to the ECG data collector for controlling the ECG data collector.
  • the garment may also include a control panel electrically coupled to the ECG data collector 120 and the processor for receiving user operational instructions.
  • the processor may determine the type of ECG monitoring according to the operation instruction, and determine a current working lead required to collect ECG data according to the type of the ECG monitoring.
  • the processor may determine, according to the operation instruction, an acquisition time period of the flexible electrode corresponding to the current working lead.
  • the processor may control the ECG data collector to receive ECG data collected by the flexible electrode corresponding to the current working lead through a lead line corresponding to the current working lead.
  • the clothing may further include a communication module connected to the processor, and the processor transmits the ECG data received by the ECG data collector 120 to the user terminal (eg, a mobile phone, a tablet computer, etc.) by way of wireless communication through the communication module.
  • a cloud server for the user terminal or the cloud server to generate an electrocardiogram according to the ECG data received by the ECG data collector 120 and determine the physical health status of the wearer of the clothing.
  • the wearer of the clothing and the owner of the user terminal may be the same person or different people.
  • children can use their own mobile phones to achieve real-time ECG monitoring of older parents.
  • the garment further includes a battery (not shown) that can power the garment.
  • the present application can collect ECG data required for ECG monitoring through flexible electrodes, lead wires, and ECG data collectors in clothes. Since the present application can set the flexible electrode according to the distribution of the body surface of the electrocardiogram monitoring on the corresponding position on the clothes, the user only needs to wear the clothes to collect the ECG data required for ECG monitoring, and according to the collected ECG. The data determines the health of the wearer of the garment. Since the ECG monitoring through the clothes does not affect the normal life of the user, the ECG monitoring can be performed under the normal life of the user. In this way, the heart rhythm of the user during the long-distance running of the clothes can be detected and the heart is found to be abnormal in time, so that the user can timely understand the health of the body and improve the user experience.
  • FIG. 2 is a flow chart showing a method of processing ECG data according to an example of the present application. This embodiment is exemplarily described with reference to FIG. 1.
  • the garment further includes a processor.
  • the processing method of the electrocardiogram data may include the following steps 201-203.
  • the processor determines the current working lead based on the current ECG monitoring type.
  • the processor controls the ECG data collector to receive the ECG data collected by the flexible electrode corresponding to the current working lead through the lead line corresponding to the current working lead.
  • the health status of the user wearing the garment is determined based on the ECG data received by the ECG data collector.
  • the current ECG monitoring type may be determined based on an operational command triggered by the user.
  • the garment can include a control panel.
  • the control panel is electrically connected to the ECG data collector and the processor.
  • the processor can receive a first operational command triggered by a user wearing the garment on the control panel, wherein the first operational command carries a type of current ECG monitoring.
  • the processor can determine the current ECG monitoring type according to the first operational command.
  • the processor can then determine the current working lead based on the current ECG monitoring type.
  • the current ECG monitoring type may be determined according to the monitoring type message sent by the user terminal.
  • the garment can include a communication module.
  • the communication module and the processor are electrically connected to each other. Receiving, by the communications module, the first indication message sent by the user terminal, where the first indication message carries the type of current ECG monitoring.
  • the processor can parse the current ECG monitoring type from the first indication message. The processor can then determine the current working lead based on the current ECG monitoring type.
  • ECG monitoring type that obtains an optimal respiratory wave (usually used for neonatal monitoring) by ECG monitoring is exemplified.
  • the processor can determine that the current working lead is a lead composed of the flexible electrode 111 and the flexible electrode 112.
  • the work leads corresponding to each type of ECG monitoring type may be determined by the clothing provider based on medical evidence and stored in advance in the clothing or in the user terminal.
  • the current working lead can be determined by the processor.
  • step 202 as shown in FIG. 1, the ECG monitoring type that obtains the optimal respiratory wave (usually used for neonatal monitoring) by ECG monitoring is exemplified as an example.
  • the ECG data collector 120 can be controlled to pass the lead wire between the ECG data collector 120 and the flexible electrode 112, and the guide between the ECG data collector 120 and the flexible electrode 111.
  • the electrocardiogram data collected by the flexible electrode 111 and the flexible electrode 112 is acquired inline.
  • step 203 the method for determining the health status of the user based on the electrocardiographic data can be seen in the embodiment shown in FIG. 4, and will not be described in detail herein.
  • the flexible electrode, the lead wire, and the ECG data collector in the clothes can collect the ECG data required for the ECG monitoring of the current ECG monitoring type without using the lead wire. And the electrode is attached to the body surface to obtain ECG data.
  • FIG. 3A shows a schematic flow chart of a method of processing ECG data according to another example of the present application.
  • FIG. 3B shows a schematic structural view of a garment according to still another example of the present application. This embodiment is exemplarily described with reference to FIG. 1.
  • the clothing includes a processor.
  • the processing method of the electrocardiogram data may include the following steps 301-309.
  • the processor determines the current ECG monitoring type.
  • the processor determines the current working lead based on the current ECG monitoring type.
  • the processor determines an acquisition period of the flexible electrode corresponding to the current working lead.
  • step 304 the processor controls the ECG data collector to receive the ECG data collected by the flexible electrode corresponding to the current working lead through the lead line corresponding to the current working lead during the acquisition period.
  • step 305 the ECG data received by the ECG data collector is processed by the processor to obtain the processed ECG data.
  • Step 305 or Step 309 may be performed after Step 305.
  • the processor generates an electrocardiogram from the processed electrocardiogram data.
  • the processor determines, by the electrocardiogram, the state of health of the user wearing the garment during the acquisition period.
  • step 308 if it is determined from the electrocardiogram that the health status of the user wearing the garment is abnormal, an alarm signal is generated.
  • step 309 the processor uploads the ECG data to the cloud server in a wireless communication manner through the communication module, so that the user accessing the cloud server determines the health status of the user wearing the clothing according to the ECG data.
  • the current ECG monitoring type may be determined based on the user's action triggered for the garment.
  • the user wearing the garment can trigger the operation of selecting the current ECG monitoring type through the control panel 320.
  • a user wearing the garment can trigger an action by pressing a button on the garment that is set for the ECG monitoring type.
  • processor 310 can determine the current ECG monitoring type.
  • the current ECG monitoring type may be determined according to a monitoring type message sent by the user terminal.
  • the clothing receives the monitoring type message sent by the user terminal through the communication module 330, the current ECG monitoring type can be obtained by the processor 310 from the message.
  • the operation is user-friendly and can reduce the power consumption and cost of the garment to some extent.
  • step 302 For a description of the step 302, refer to the related description of the embodiment shown in FIG. 2, which is not described in detail herein.
  • step 303 in an embodiment, in order to make the ECG data collected by the flexible electrode more specific, avoid collecting too much useless ECG data and interfere with the ECG data required by the user wearing the clothing.
  • the acquisition period of the flexible electrode is determined prior to starting the ECG monitoring.
  • the flexible electrode can periodically collect ECG data, and the flexible electrode can also be set to collect ECG data at a fixed time of day. For example, the flexible electrode can collect ECG data for half an hour every two hours, or can collect ECG data during the time of getting up every morning, or can continue to collect ECG data within 24 hours. Users perform dynamic ECG monitoring.
  • the processor 310 determines the time period during which the flexible electrode collects the ECG data through the control panel 320 on the garment. For example, the processor 310 receives the user wearing the clothing on the control panel. a second operation instruction triggered, wherein the second operation instruction carries an acquisition period of the flexible electrode corresponding to the current working lead; The processor determines, according to the second operation instruction, an acquisition period of the flexible electrode corresponding to the current working lead.
  • the time period during which the flexible electrode collects the ECG data can also be determined by voice control.
  • the processor 310 determines a time period during which the flexible electrode collects the ECG data according to the monitoring time message sent by the user terminal.
  • the processor 310 may determine, according to the message, the time at which the flexible electrode collects the ECG data.
  • step 304 For a description of the step 304, refer to the related description of the embodiment shown in FIG. 2, which is not described in detail herein.
  • the processor 310 can process the ECG data received by the ECG data collector 120. For example, filtering processing may be performed, or processing such as segmentation taking a median value may be performed. The amount of processed ECG data can be reduced to reduce the amount of computation of the garment's subsequent processing of ECG data.
  • the electrocardiogram is generated by the collected electrocardiogram data and the health state of the body is determined according to the electrocardiogram, and the technical solutions in the prior art can be used, and the details are not described herein again.
  • processor 310 may generate an alert signal if it is determined from the ECG data that the health status of the user wearing the garment is abnormal.
  • the generated alarm signal can be an audible alarm signal and/or an optical alarm signal.
  • a drip sound may be emitted to alert the user wearing the garment that the current ECG data is abnormal, or the signal indicator on the control panel 320 may be illuminated to alert the user wearing the garment that the current ECG data is abnormal.
  • uploading the processed ECG data to the cloud server through the communication module 330 may provide more value-added services for the user wearing the clothing.
  • a user accessing the cloud server such as a medical professional or the like, can determine the health status of the user wearing the clothing based on the processed ECG data, and propose a treatment plan.
  • the flexible electrode can collect ECG data during the acquisition period, improve the pertinence of the collected ECG data, and avoid collecting unnecessary data to interfere with the ECG data required by the user.
  • an alarm signal can be generated to detect an abnormality of the body when the health state of the user is abnormal according to the electrocardiogram, and uploading the ECG data to the cloud server can obtain more value-added services for the user wearing the clothing.
  • FIG. 4 is a flow chart showing a method of processing ECG data according to still another example of the present application. This embodiment is exemplarily described with reference to FIG. 1.
  • the clothing includes a processor.
  • the processing method of the electrocardiogram data may include the following steps 401-408.
  • the processor determines the current working lead based on the current ECG monitoring type.
  • the processor controls the ECG data collector to receive the current working guide through the lead line corresponding to the current working lead. ECG data collected by the corresponding flexible electrode.
  • the processor determines whether the ECG data received by the ECG data collector is within a range of normal ECG indicators corresponding to the user wearing the garment. If it is determined that the ECG data received by the ECG data collector is within the normal ECG indicator range corresponding to the user wearing the clothing, step 408 may be performed, otherwise step 404 may be performed.
  • the processor determines that the health status of the user wearing the garment is abnormal.
  • the processor determines the type of abnormality of the electrocardiographic data.
  • the processor determines the signal type corresponding to the type of exception.
  • the processor generates an alert signal corresponding to the type of signal.
  • the processor determines that the health status of the user wearing the garment is normal.
  • the garment may include a storage unit. Since the normal range of heart rate of people of different ages and genders may be different, the range of normal ECG indicators of the user wearing the clothes may be preset in the clothes. The range of normal ECG indicators of the user wearing the garment can be determined by testing during the test period, and the range of normal ECG indicators of the user wearing the garment can be stored in the storage unit. In subsequent ECG monitoring, the processor can determine the health status of the user wearing the garment based on the range of normal ECG indicators of the user wearing the garment.
  • the abnormal type of the electrocardiographic data may include various abnormal types such as arrhythmia, excessive heart rate, slow heart rate, and sinus tachycardia.
  • the type of alarm signal corresponding to each type of abnormality may be set in advance. For example, if it is sinus tachycardia, the alarm signal type can be determined as a vibration signal according to a preset setting; if the heart rate is too fast, the light signal of the indicator light can be determined according to the preset setting of the alarm signal type; if the heart rate is If it is not correct, the alarm signal type can be determined as a sound signal according to the preset setting.
  • the type of alarm signal can be set based on the hazard of the human body for each type of abnormality. For example, if the abnormality is relatively harmful to the human body, the alarm signal corresponding to the abnormality may be set as a vibration plus a voice prompt to attract sufficient attention of the user.
  • the processor may generate the alert signal after determining the type of alert signal. For example, if it is determined that the type of the alarm signal is vibration, the processor can control the small motor provided on the garment to perform regular vibration.
  • the clothing can be made to determine the normal ECG range of the user wearing the clothing for different users.
  • the health state of the user's body wearing the garment may be determined based on the range of normal ECG indicators of the user wearing the garment.
  • a corresponding alarm signal may be generated according to the abnormality type, so that the user wearing the clothing can determine the abnormality of the body according to the alarm signal, thereby improving the user experience.
  • FIG. 5 is a flow chart showing a method of processing ECG data according to still another example of the present application. This embodiment is exemplarily described with reference to FIG. 3B. As shown in FIG. 5, the processing method of the ECG data may include the following steps 501-504.
  • the processor determines the current working lead based on the current ECG monitoring type.
  • step 502 the processor controls the ECG data collector to receive the ECG data collected by the flexible electrode corresponding to the current working lead through the lead line corresponding to the current working lead.
  • the processor preprocesses the ECG data received by the ECG data collector.
  • step 504 the processor transmits the pre-processed ECG data to the user terminal by wireless communication, so that the user terminal generates an electrocardiogram according to the pre-processed ECG data to determine the health status of the user wearing the clothing.
  • the processor 310 in the garment can pre-process the ECG data received by the ECG data collector 120, discard the useless ECG data, and reduce the amount of data of the ECG data.
  • the processor 310 may perform centrifugation on the ECG data received by the ECG data collector 120 to reduce the amount of data of the ECG data. In this way, when the pre-processed ECG data is transmitted to the user terminal in a wireless communication manner, the power consumption of the clothes can be reduced.
  • the processor 310 can transmit the pre-processed ECG data to the user terminal through the communication module 330 in a wireless communication manner.
  • a wireless communication manner For example, Bluetooth communication with low power consumption may be used, or the pre-processed ECG data may be transmitted to the user terminal by using other short-distance communication methods or remote communication methods.
  • the user terminal can generate an electrocardiogram based on the pre-processed electrocardiogram data and determine the physical health status of the user wearing the clothing.
  • the user terminal can also upload the pre-processed ECG data to the cloud server, so that the user wearing the clothing provides more value-added services.
  • the processor pre-processes the ECG data and sends the pre-processed ECG data to the user terminal, which can reduce the power consumption of the clothes and reduce the computational complexity of the clothes.
  • the present application also provides a control logic for processing ECG data.
  • the control logic for processing the electrocardiographic data can be applied to a garment, which can include an electrocardiographic data collector, more than two flexible electrodes, more than two lead wires, a processor, and a machine readable storage medium.
  • a garment which can include an electrocardiographic data collector, more than two flexible electrodes, more than two lead wires, a processor, and a machine readable storage medium.
  • Each of the flexible electrodes is in communication with an electrocardiographic data collector via a lead wire, and each of the two flexible electrodes may be pre-formed as a lead.
  • the processor and machine readable storage medium are typically interconnected by an internal bus Pick up.
  • the garment may also include a communication interface to enable communication with other devices or components.
  • the machine readable storage medium may be: RAM (Radom Access Memory), volatile memory, nonvolatile memory, flash memory, or the like, or a combination thereof. .
  • RAM Random Access Memory
  • volatile memory volatile memory
  • nonvolatile memory nonvolatile memory
  • flash memory or the like, or a combination thereof.
  • FIG. 6 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with an example of the present application.
  • the control logic for processing ECG data may include: a first determining module 610, a control module 620, and a second determining module 630.
  • the first determining module 610 can be configured to determine a current working lead based on the current ECG monitoring type.
  • the control module 620 can be configured to control the ECG data collector to receive the ECG data collected by the flexible electrode corresponding to the current working lead through the lead wire corresponding to the current working lead.
  • the second determining module 630 can be configured to determine a health status of a user wearing the garment based on the electrocardiographic data received by the ECG data collector.
  • FIG. 7 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with another example of the present application.
  • the control module 620 can include a first determining unit 621 and a first control unit 622.
  • the first determining unit 621 can be configured to determine an acquisition period of the flexible electrode corresponding to the current working lead.
  • the first control unit 622 can be configured to control the ECG data collector to receive the ECG data collected by the flexible electrode corresponding to the current working lead through the lead line corresponding to the current working lead during the acquisition period.
  • the second determining module 630 can include a first generating unit 631 and a second determining unit 632.
  • the first generating unit 631 may be configured to generate an electrocardiogram of the electrocardiogram data collected by the flexible electrode corresponding to the current working lead received by the electrocardiographic data collector during the acquisition period.
  • the second determining unit 632 can be configured to determine a health state of the user wearing the clothing during the acquisition period based on the generated electrocardiogram.
  • control logic for processing the electrocardiographic data may further include a processing module 640.
  • the processing module 640 can be configured to process the ECG data received by the ECG data collector to obtain processed ECG data.
  • the second determining module 630 can determine the health status of the user wearing the clothing according to the processed ECG data.
  • control logic for processing ECG data may further include a first receiving module 650 and a third determining module 660.
  • the first receiving module 650 can be configured to receive user-triggered operational instructions.
  • the third determining module 660 can be configured to determine the type of current ECG monitoring based on the received operational command.
  • control logic for processing ECG data may further include a second receiving module 670 and a parsing module 680.
  • the second receiving module 670 can be configured to receive an indication message sent by the user terminal, where the indication message carries the type of current ECG monitoring.
  • the parsing module 680 can be configured to parse out the type of current ECG monitoring from the indication message.
  • control logic for processing the electrocardiographic data may further include a first transmitting module 690.
  • the first sending module 690 can be configured to transmit the ECG data received by the ECG data collector to the user terminal by way of wireless communication, for the user terminal to determine the health status of the user wearing the clothing according to the ECG data.
  • control logic for processing the electrocardiographic data may further include a second transmitting module 700.
  • the second sending module 700 can be configured to upload the ECG data received by the ECG data collector to the cloud server by means of wireless communication, so that the user accessing the cloud server determines the health of the user wearing the clothing according to the ECG data. status.
  • FIG. 8 shows a functional block diagram of control logic for processing electrocardiographic data in accordance with yet another example of the present application.
  • the second determining module 630 may include a third determining unit 633, a fourth determining unit 634, and a fifth determining unit. 635. Second generation unit 636 and sixth determination unit 637.
  • the third determining unit 633 can be configured to determine whether the ECG data received by the ECG data collector is within a range of normal ECG indicators corresponding to a user wearing the clothing.
  • the fourth determining unit 634 may be configured to determine that the health status of the user wearing the clothing is abnormal when the electrocardiographic data exceeds a range of normal ECG indicators corresponding to a user wearing the clothing.
  • the fifth determining unit 635 can be configured to determine an abnormal type of the electrocardiographic data.
  • the second generation unit 636 can be configured to generate an alarm signal based on the type of the exception.
  • the sixth determining unit 637 may be configured to determine that the health status of the user wearing the clothing is normal when the electrocardiographic data received by the electrocardiographic data collector is within a range of normal ECG indicators corresponding to the user wearing the clothing.
  • the second generation unit 636 can include a determination sub-unit 6361 and a generation sub-unit 6362.
  • the determining subunit 6361 can be configured to determine a signal type corresponding to the abnormal type of the electrocardiographic data
  • the generating sub-unit 6362 can be configured to generate an alert signal corresponding to the determined signal type.

Abstract

一种衣服以及心电数据的处理方法，其中，该衣服包括两个以上的柔性电极（110，111，112）、两根以上的导联线（130）和心电数据收集器（120），该柔性电极（110，111，112）可按照预先设置组成不同的导联，每个柔性电极（110，111，112）通过导联线（130）与心电数据收集器（120）连通，该心电数据收集器（120）被配置为接收柔性电极（110，111，112）采集的心电数据。

Description

衣服及心电数据的处理
相关申请的交叉引用
本专利申请要求于2016年03月15日提交的、申请号为201610150885.2、发明名称为“心电数据的处理方法、装置及衣服”的中国专利申请的优先权，该申请的全文以引用的方式并入本文中。
技术领域
本申请涉及可穿戴智能设备技术领域中的衣服及心电数据的处理。
背景技术
在每个心动周期中，起搏点、心房、心室相继兴奋，伴随着生物电的变化，可使用心电描记器(Electrocardiograph device)从体表引出多种形式的电位变化的图形，该图形可称作心电图(Electrocardiogram，ECG)。
在心电监护方法中，可使用导联线和电极粘在人体体表以获取ECG信号。当导联比较多时，可能需要比较多的导联线及电极，例如，肢体导联至少需要3条导联线及3个电极，12导联需要10条导联线及10个电极。
发明内容
有鉴于此，本申请提供一种衣服及心电数据的处理。
为实现上述目的，本申请提供如下技术方案。
根据本申请的第一方面，提供一种衣服，所述衣服包括：
两个以上的柔性电极，所述柔性电极可按照预先设置组成不同的导联；
两根以上的导联线；
心电数据收集器，每个所述柔性电极通过所述导联线与所述心电数据收集器连通，所述心电数据收集器被配置为接收所述柔性电极采集的心电数据。
根据本申请的第二方面，提供一种心电数据的处理方法，应用在如本申请第一方面所述的衣服上，所述衣服还包括处理器，其与所述心电数据收集器相连，用于控制所述心电数据收集器，所述心电数据的处理方法包括：
所述处理器根据当前心电监护类型，确定当前工作导联；
所述处理器控制所述心电数据收集器通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
由以上技术方案可见，通过衣服中的柔性电极、导联线、心电数据收集器，可以采集心电监护所需的心电数据。通过衣服中的处理器，可以控制所述心电数据收集器。由于可依据心电监护的体表分布在衣服上对应位置设置柔性电极，用户只需穿着衣服即可采集心电监护所需的心电数据，并根据心电数据确定穿着衣服的用户的健康状况。通过衣服进行心电监护不影响用户的正常生活，无需将导联线和电极粘在人体体表来获取心电数据，进而提升了用户体验。
附图说明
图1示出了根据本申请的一示例的衣服的结构示意图；
图2示出了根据本申请的一示例的心电数据的处理方法的流程示意图；
图3A示出了根据本申请的另一示例的心电数据的处理方法的流程示意图；
图3B示出了根据图3A所示的心电数据的处理方法的衣服的结构示意图；
图4示出了根据本申请的又一示例的心电数据的处理方法的流程示意图；
图5示出了根据本申请的再一示例的心电数据的处理方法的流程示意图；
图6示出了根据本申请的一示例的处理心电数据的控制逻辑的功能模块图；
图7示出了根据本申请的另一示例的处理心电数据的控制逻辑的功能模块图；
图8示出了根据本申请的再一示例的处理心电数据的控制逻辑的功能模块图。
具体实施方式
图1示出了根据本申请的一示例的衣服的结构示意图。如图1所示，衣服上可设置两个以上的柔性电极(图示为黑点)例如110～112、心电数据收集器120以及用于连通柔性电极与心电数据收集器的导联线130。其中，为了通过身体两个体表部位的电位差来监护心脏的电活动，每两个柔性电极可预先组成导联。例如，衣服上对应身体第4肋间隙胸骨右缘的位置的柔性电极与对应身体中央电势端的位置的柔性电极可组成前间壁导联。所述导联线130可以由柔性导电的纤维制成。
可以理解的是，在图1所示的示意图中，衣服也可以为其他的上衣或者裤子等。衣服上所设置的柔性电极数目及位置也可以根据该衣服可实现类型的心电监护进行设置。
在一实施例中，衣服可以包括处理器，其与所述心电数据收集器相连，用于控制所述心电数据收集器。衣服还可以包括控制面板，其与所述心电数据收集器120和所述处理器电连接，用于接收用户的操作指令。所述处理器可以根据所述操作指令确定心电监护的类型，根据所述心电监护的类型确定采集心电数据所需的当前工作导联。所述处理器可以根据所述操作指令确定当前工作导联对应的柔性电极的采集时间段。所述处理器可以控制所述心电数据收集器通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
此外，衣服还可以包括与处理器连接的通信模块，处理器通过通信模块以无线通信的方式将心电数据收集器120所接收的心电数据发送至用户终端(例如、手机、平板电脑等)或云端服务器，以供用户终端或云端服务器根据心电数据收集器120所接收的心电数据生成心电图并确定该衣服穿着者的身体健康状态。需要说明的是，该衣服的穿着者与该用户终端的所有者可为同一人，也可为不同人。例如，通过本公开的上述衣服，儿女可利用自己的手机实现对年长父母的实时心电监控。
在一实施例中，衣服还包括电池(未图示)，该电池可以为衣服供电。
本申请通过衣服中的柔性电极、导联线、心电数据收集器，可以采集进行心电监护所需的心电数据。由于本申请可依据心电监护的体表分布在所述衣服上的对应位置设置柔性电极，用户只需穿着该衣服即可采集心电监护所需的心电数据，并根据所采集的心电数据确定该衣服穿着者的健康状况。由于通过衣服进行心电监护不影响用户的正常生活，可以在用户正常生活的情况下进行心电监护。这样，可以检测用户在穿着该衣服长跑的过程中的心律并及时发现心脏是否出现异常，便于该用户及时了解身体的健康状况，并且提升用户体验。
图2示出了根据本申请的一示例的心电数据的处理方法的流程示意图。本实施例结合图1进行示例性说明，所述衣服还包括处理器，如图2所示，所述心电数据的处理方法可包括如下步骤201-203。
在步骤201，根据当前心电监护类型，处理器确定当前工作导联。
在步骤202，处理器控制心电数据收集器通过当前工作导联对应的导联线接收当前工作导联对应的柔性电极采集的心电数据。
在步骤203，根据心电数据收集器接收的心电数据确定穿着该衣服的用户的健康状态。
在步骤201中，在一实施例中，可根据用户触发的操作指令来确定当前心电监护类型。该衣服可以包括控制面板。控制面板与所述心电数据收集器和处理器相互电连接。处理器可接收穿着该衣服的用户在控制面板上触发的第一操作指令，其中，所述第一操作指令携带有当前心电监护的类型。处理器可根据第一操作指令确定当前心电监护类型。然后，处理器可根据当前心电监护类型确定当前工作导联。
在步骤201中，在另一实施例中，可根据用户终端发送的监护类型消息确定当前心电监护类型。该衣服可以包括通信模块。通信模块与处理器相互电连接。当处理器通过通信模块接收到用户终端发送的第一指示消息，其中，所述第一指示消息携带有当前心电监护的类型。处理器可从该第一指示消息中解析得到当前心电监护类型。然后，处理器可根据当前心电监护类型确定当前工作导联。
以通过心电监护获得最佳呼吸波(常用于新生儿监护)的心电监护类型为例进行示例性说明。处理器可确定当前工作导联为柔性电极111和柔性电极112组成的导联。每种心电监护类型所对应的工作导联可以由衣服提供商根据医学依据确定并预先存储在衣服中或者存储在用户终端中。当确定当前心电监护类型时，可由处理器确定当前工作导联。
在步骤202中，如图1所示，仍以通过心电监护获得最佳呼吸波(常用于新生儿监护)的心电监护类型为例进行示例性说明。处理器确定当前工作导联后，可控制心电数据收集器120通过心电数据收集器120和柔性电极112之间的导联线，以及心电数据收集器120和柔性电极111之间的导联线获取柔性电极111和柔性电极112采集的心电数据。
在步骤203中，基于心电数据确定用户的健康状态的方法可参见图4所示的实施例，这里不再详述。
由上述描述可知，本申请实施例通过衣服中的柔性电极、导联线、心电数据收集器，可以采集进行当前心电监护类型的心电监护所需的心电数据，无需使用导联线和电极粘在人体体表获取心电数据。
图3A示出了根据本申请的另一示例的心电数据的处理方法的流程示意图。图3B示出了根据本申请的又一示例的衣服的结构示意图。本实施例结合图1进行示例性说明，所述衣服包括处理器，如图3A所示，所述心电数据的处理方法可包括如下步骤301-309。
在步骤301，处理器确定当前心电监护类型。
在步骤302，根据当前心电监护类型，处理器确定当前工作导联。
在步骤303，处理器确定当前工作导联对应的柔性电极的采集时间段。
在步骤304，处理器控制心电数据收集器在采集时间段内通过当前工作导联对应的导联线接收当前工作导联对应的柔性电极采集的心电数据。
在步骤305，通过处理器对心电数据收集器接收的心电数据进行处理，得到处理后的心电数据，可在步骤305后执行步骤306或步骤309。
在步骤306，处理器将处理后的心电数据生成心电图。
在步骤307，处理器通过心电图确定穿着该衣服的用户在采集时间段内的健康状态。
在步骤308，如果根据心电图确定穿着该衣服的用户的健康状态为异常，则生成报警信号。
在步骤309，处理器通过通信模块以无线通信的方式将心电数据上传至云端服务器，以供访问云端服务器的用户根据心电数据确定穿着该衣服的用户的健康状态。
在步骤301中，在一实施例中，可根据用户针对衣服触发的操作来确定当前心电监护类型。如图3B所示，穿着该衣服的用户可通过控制面板320触发选择当前心电监护类型的操作。例如，穿着该衣服的用户可通过按衣服上针对心电监护类型设置的按钮来触发操作。当穿着该衣服的用户通过控制面板320选择当前心电监护类型时，处理器310可确定当前心电监护类型。
在又一实施例中，可根据用户终端发送的监护类型消息确定当前心电监护类型。当该衣服通过通信模块330接收到用户终端发送的监护类型消息，可通过处理器310从该消息中解析得到当前心电监护类型。通过使用用户终端确定当前心电监护类型，该操作人性化而且可在一定程度上降低衣服的功率消耗和成本。
步骤302的相关描述可以参见上述图2所示实施例的相关描述，在此不再详述。
在步骤303中，在一实施例中，为了使柔性电极采集的心电数据更具针对性，避免采集过多无用的心电数据而对穿着该衣服的用户需要的心电数据产生干扰，可在开始心电监控之前确定柔性电极的采集时间段。柔性电极可以周期性采集心电数据，还可设置柔性电极在每天的某个固定时间段采集心电数据。例如，柔性电极可每隔两个小时采集一次持续半小时的心电数据，或者可在每天早上起床的时间段采集心电数据，或者还可以在24小时内持续采集心电数据对穿着该衣服的用户进行动态心电监护。
在一实施例中，如图3B所示，可通过衣服上的控制面板320，处理器310确定柔性电极采集心电数据的时间段，例如，处理器310接收穿着该衣服的用户在控制面板上触发的第二操作指令，其中，所述第二操作指令携带有当前工作导联对应的柔性电极的采集时间段；所 述处理器根据所述第二操作指令确定当前工作导联对应的柔性电极的采集时间段。也可以通过语音控制确定柔性电极采集心电数据的时间段。
在又一实施例中，可根据用户终端发送的监护时间消息，处理器310确定柔性电极采集心电数据的时间段。当该衣服通过通信模块330确定接收到用户终端发送的采集时间消息，则处理器310可根据该消息确定柔性电极采集心电数据的时间。
步骤304的相关描述可以参见上述图2所示实施例的相关描述，在此不再详述。
在步骤305中，如图3B所示，处理器310可以对心电数据收集器120接收到的心电数据进行处理。例如可以进行滤波处理，也可以进行分段取中值等处理。经过处理的心电数据的数据量可变少，以降低衣服后续处理心电数据的计算量。
在步骤306和步骤307中，将所采集的心电数据生成心电图和根据心电图确定身体的健康状态均可使用现有技术下的技术方案，本申请不再赘述。
在步骤308中，在一实施例中，如果根据心电数据确定穿着该衣服的用户的健康状态为异常，处理器310可生成报警信号。所生成的报警信号可以为声音报警信号和/或光报警信号。例如，可以发出滴滴声以提示穿着该衣服的用户当前的心电数据异常，或者可以将控制面板320上的信号指示灯点亮以提示穿着该衣服的用户当前的心电数据异常。
在步骤309中，在一实施例中，如图3B所示，通过通信模块330将处理后的心电数据上传至云端服务器可以为穿着该衣服的用户提供更多的增值服务。例如，访问云端服务器的用户、例如医学专家等可根据处理后的心电数据确定穿着该衣服的用户的健康状态，并提出治疗方案。
本实施例中，可以使柔性电极在采集时间段内采集心电数据，提高了采集心电数据的针对性，并避免采集无用的采集数据而对用户需要的心电数据产生干扰。此外，在根据心电图确定用户的健康状态为异常时可生成报警信号以对身体异常起到早期预警作用，而且将心电数据上传至云端服务器可以为穿着该衣服的用户得到更多的增值服务。
图4示出了根据本申请的再一示例的心电数据的处理方法的流程示意图。本实施例结合图1进行示例性说明，所述衣服包括处理器，如图4所示，所述心电数据的处理方法可包括以下步骤401-408。
在步骤401，根据当前心电监护类型，处理器确定当前工作导联。
在步骤402，处理器控制心电数据收集器通过当前工作导联对应的导联线接收当前工作导 联对应的柔性电极采集的心电数据。
在步骤403，处理器确定心电数据收集器所接收的心电数据是否位于穿着该衣服的用户对应的正常心电指标范围内。如果确定心电数据收集器所接收的心电数据位于穿着该衣服的用户对应的正常心电指标范围内，可执行步骤408，否则可执行步骤404。
在步骤404，处理器确定穿着该衣服的用户的健康状态为异常。
在步骤405，处理器确定心电数据的异常类型。
在步骤406，处理器确定异常类型对应的信号类型。
在步骤407，处理器生成与信号类型相对应的报警信号。
在步骤408，如果心电数据收集器所接收的心电数据位于穿着该衣服的用户对应的正常心电指标范围内，处理器确定穿着该衣服的用户的健康状态为正常。
步骤401和步骤402的相关描述可以参见上述图2所示实施例的相关描述，在此不再详述。
在步骤403中，在一实施例中，所述衣服可以包括存储单元。由于不同年龄段、不同性别的人的心率的正常范围可以不同，因此衣服中可以预先设置穿着该衣服的用户的正常心电指标范围。可通过在测试时间段内测试确定穿着该衣服的用户的正常心电指标范围，并在存储单元中存储穿着该衣服的用户的正常心电指标范围。在后续的心电监控中，根据穿着该衣服的用户的正常心电指标范围，处理器可确定穿着该衣服的用户的健康状态。
在步骤405中，心电数据的异常类型可以包括心率不齐、心率过快、心率过慢、窦性心动过速等各种异常类型。
在步骤406中，在一实施例中，可以预先设置每种异常类型对应的报警信号类型。例如，如果是窦性心动过速，则可根据预先设置确定报警信号类型为振动信号；如果是心率过快，则可根据预先设置确定报警信号类型为点亮一个指示灯的光信号；如果心率不齐，则可根据预先设置确定报警信号类型为声音信号。在又一实施例中，可根据每种异常类型对人身体的危害性设置报警信号类型。例如，如果异常对人身体危害比较大，则可设置该异常对应的报警信号为振动加语音提示，以引起用户的足够重视。
在步骤407中，当确定报警信号类型之后，处理器可生成该报警信号。例如，如果确定报警信号类型为振动，则处理器可控制衣服上设置的小马达进行规律性振动。
本实施例中，可以使衣服针对不同的用户确定穿着该衣服的用户的正常心电指标范围。 可以根据穿着该衣服的用户的正常心电指标范围确定穿着该衣服的用户身体的健康状态。在穿着该衣服的用户的健康状态为异常时，可根据异常类型生成对应的报警信号，使得穿着该衣服的用户可以根据报警信号确定自己的身体的异常情况，提高用户体验。
图5示出了根据本申请的再一示例的心电数据的处理方法的流程示意图。本实施例结合图3B进行示例性说明，如图5所示，该心电数据的处理方法可以包括如下步骤501-504。
在步骤501，根据当前心电监护类型，处理器确定当前工作导联。
在步骤502，处理器控制心电数据收集器通过当前工作导联对应的导联线接收当前工作导联对应的柔性电极采集的心电数据。
在步骤503，处理器对心电数据收集器接收的心电数据进行预处理。
在步骤504，处理器通过无线通信方式将预处理后的心电数据传输到用户终端，以使得用户终端根据预处理后的心电数据生成心电图，确定穿着该衣服的用户的健康状态。
步骤501和步骤502的相关描述可以参见上述图2和图3A所示实施例的相关描述，在此不再详述。
在步骤503中，如图3B所示，衣服中的处理器310可对心电数据收集器120接收的心电数据进行预处理，丢弃无用的心电数据，减少心电数据的数据量。例如，处理器310可对心电数据收集器120接收的心电数据进行分段取中值等处理，以减少心电数据的数据量。这样，在以无线通信的方式将预处理后的心电数据传输到用户终端时，可降低衣服的功率消耗。
在步骤504中，处理器310可通过通信模块330以无线通信的方式将预处理后的心电数据发送给用户终端。例如，可以使用功率消耗低的蓝牙通信，也可以使用其他短距离通信方式或者远程通信方式将预处理后的心电数据发送给用户终端。用户终端根据预处理后的心电数据可生成心电图并且确定穿着该衣服的用户的身体健康状态。用户终端还可以将预处理后的心电数据上传至云端服务器，以便穿着该衣服的用户提供更多的增值服务。
本实施例中，处理器对心电数据进行预处理并将预处理后的心电数据发送至用户终端，可以降低衣服的功率消耗，降低衣服的计算复杂度。
对应于上述方法，本申请还提供了一种处理心电数据的控制逻辑。该处理心电数据的控制逻辑可以应用在衣服上，所述衣服可包括心电数据收集器、两个以上的柔性电极、两根以上的导联线、处理器和机器可读存储介质。每个柔性电极通过导联线与心电数据收集器连通，每两个柔性电极可预先组成导联。所述处理器和机器可读存储介质通常借由内部总线相互连 接。在其他可能的实现方式中，所述衣服还可包括通信接口，以能够与其他设备或者部件进行通信。
在不同的例子中，所述机器可读存储介质可以是：RAM(Radom Access Memory，随机存取存储器)、易失存储器、非易失性存储器、闪存，或者类似的存储介质，或者它们的组合。
进一步的，机器可读存储介质上可存储有处理心电数据的控制逻辑对应的机器可执行指令。图6示出了根据本申请一示例的处理心电数据的控制逻辑的功能模块图。从功能上划分，如图6所示，该处理心电数据的控制逻辑可以包括：第一确定模块610、控制模块620和第二确定模块630。
第一确定模块610可被配置为根据当前心电监护类型，确定当前工作导联。
控制模块620可被配置为控制心电数据收集器通过当前工作导联对应的导联线接收当前工作导联对应的柔性电极采集的心电数据。
第二确定模块630可被配置为根据心电数据收集器接收的心电数据确定穿着所述衣服的用户的健康状态。
图7示出了根据本申请的另一示例的处理心电数据的控制逻辑的功能模块图。如图7所示，在上述图6所示实施例的基础上，控制模块620可包括第一确定单元621和第一控制单元622。
第一确定单元621可被配置为确定当前工作导联对应的柔性电极的采集时间段。
第一控制单元622可被配置为控制心电数据收集器在采集时间段内通过当前工作导联对应的导联线接收当前工作导联对应的柔性电极采集的心电数据。
在一实施例中，第二确定模块630可包括第一生成单元631和第二确定单元632。
第一生成单元631可被配置为将心电数据收集器接收的当前工作导联对应的柔性电极在采集时间段内采集的心电数据生成心电图。
第二确定单元632可被配置为根据生成的心电图确定穿着该衣服的用户在采集时间段内的健康状态。
在一实施例中，该处理心电数据的控制逻辑还可包括处理模块640。
处理模块640可被配置为处理心电数据收集器接收的心电数据，得到处理后的心电数据。第二确定模块630可根据处理后的心电数据确定穿着该衣服的用户的健康状态。
在一实施例中，该处理心电数据的控制逻辑还可包括第一接收模块650和第三确定模块660。
第一接收模块650可被配置为接收用户触发的操作指令。
第三确定模块660可被配置为根据接收的操作指令确定当前心电监护的类型。
在一实施例中，该处理心电数据的控制逻辑还可包括第二接收模块670和解析模块680。
第二接收模块670可被配置为接收用户终端发送的指示消息，所述指示消息中携带有当前心电监护的类型。
解析模块680可被配置为从所述指示消息中解析出当前心电监护的类型。
在一实施例中，该处理心电数据的控制逻辑还可包括第一发送模块690。
第一发送模块690可被配置为通过无线通信的方式将心电数据收集器接收的心电数据发送给用户终端，以供用户终端根据心电数据确定穿着所述衣服的用户的健康状态。
在一实施例中，该处理心电数据的控制逻辑还可包括第二发送模块700。
第二发送模块700可被配置为通过无线通信的方式将心电数据收集器接收的心电数据上传至云端服务器，以供访问云端服务器的用户根据心电数据确定穿着所述衣服的用户的健康状态。
图8示出了根据本申请的再一示例的处理心电数据的控制逻辑的功能模块图。如图8所示，在图6和图7所示的实施例的基础上，在一实施例中，第二确定模块630可包括第三确定单元633、第四确定单元634、第五确定单元635、第二生成单元636和第六确定单元637。
第三确定单元633可被配置为判断所述心电数据收集器接收的心电数据是否位于穿着该衣服的用户对应的正常心电指标范围内。
第四确定单元634可被配置为当所述心电数据超出穿着该衣服的用户对应的正常心电指标范围，确定穿着该衣服的用户的健康状态为异常。
第五确定单元635可被配置为确定心电数据的异常类型。
第二生成单元636可被配置为根据异常类型生成报警信号。
第六确定单元637可被配置为当所述心电数据收集器接收的心电数据位于穿着该衣服的用户对应的正常心电指标范围内，确定穿着该衣服的用户的健康状态为正常。
在一实施例中，第二生成单元636可包括确定子单元6361和生成子单元6362。
确定子单元6361可被配置为确定心电数据的异常类型对应的信号类型；
生成子单元6362可被配置为生成确定的信号类型对应的报警信号。
关于上述实施例中的控制逻辑，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
本领域技术人员在考虑说明书及实践这里公开的申请后，将容易想到本申请的其它实施方案。本申请旨在涵盖本申请的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本申请的一般性原理并包括本申请未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本申请的真正范围和精神由下面的权利要求指出。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括要素的过程、方法、商品或者设备中还存在另外的相同要素。
以上仅为本申请的较佳实施例而已，并不用以限制本申请，凡在本申请的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本申请保护的范围之内

Claims (17)

  1. 一种衣服，包括：
    两个以上的柔性电极，所述柔性电极可按照预先设置组成不同的导联；
    两根以上的导联线；
    心电数据收集器，每个所述柔性电极通过所述导联线与所述心电数据收集器连通，所述心电数据收集器被配置为接收所述柔性电极采集的心电数据。
  2. 根据权利要求1所述的衣服，还包括：
    处理器，其与所述心电数据收集器相连，用于控制所述心电数据收集器。
  3. 根据权利要求2所述的衣服，还包括：
    控制面板，其与所述心电数据收集器以及所述处理器电连接，被配置为接收用户的操作指令，
    其中，所述处理器还被配置为
    根据所述操作指令确定心电监护的类型，
    根据所述心电监护的类型确定采集心电数据所需的当前工作导联，并
    控制所述心电数据收集器通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  4. 根据权利要求3所述的衣服，其中，所述处理器还被配置为：
    根据所述操作指令确定当前工作导联对应的柔性电极的采集时间段，并
    控制所述心电数据收集器在所述采集时间段内通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  5. 根据权利要求3所述的衣服，还包括与所述处理器连接的第一通信模块，
    其中，所述处理器还被配置为根据所述操作指令，将所述心电数据通过所述第一通信模块发送至用户终端或云端服务器。
  6. 根据权利要求2所述的衣服，还包括：
    第二通信模块，其与所述处理器电连接，被配置为接收来自用户的指示信息，所述指示信息中携带有心电监护的类型，
    其中，所述处理器还被配置为：
    根据所述指示信息确定心电监护的类型，
    根据所述心电监护的类型确定采集心电数据所需的当前工作导联，并
    控制所述心电数据收集器通过所述当前工作导联对应的导联线接收所述当前工作导 联对应的柔性电极采集的心电数据。
  7. 根据权利要求6所述的衣服，其中，所述处理器还被配置为：
    根据所述指令信息确定当前工作导联对应的柔性电极的采集时间段，并
    控制所述心电数据收集器在所述采集时间段内通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  8. 根据权利要求6所述的衣服，其中，所述处理器还被配置为：
    将所述心电数据通过所述第二通信模块发送至用户终端或云端服务器。
  9. 一种心电数据的处理方法，应用在如权利要求2所述的衣服上，包括：
    所述处理器根据当前心电监护类型，确定当前工作导联；
    所述处理器控制所述心电数据收集器通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  10. 根据权利要求9所述的方法，其中，
    所述衣服还包括控制面板，
    所述方法还包括：
    所述控制面板接收用户在所述控制面板上触发的第一操作指令，其中，所述第一操作指令携带有当前心电监护的类型。
  11. 根据权利要求10所述的方法，还包括：
    所述控制面板接收用户在所述控制面板上触发的第二操作指令，其中，所述第二操作指令携带有当前工作导联对应的柔性电极的采集时间段；
    所述处理器根据所述第二操作指令，控制所述心电数据收集器在所述采集时间段内通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  12. 根据权利要求10所述的方法，其中，
    所述衣服还包括第一通信模块，
    所述方法还包括：
    所述控制面板接收用户在所述控制面板上触发的第三操作指令；
    所述处理器根据所述第三操作指令，将所述心电数据通过所述第一通信模块发送至用户终端或云端服务器。
  13. 根据权利要求9所述的方法，其中，
    所述衣服还包括第二通信模块，
    所述方法还包括：
    所述第二通信模块接收用户终端发送的第一指示信息，其中，所述第一指示信息携带有当前心电监护的类型。
  14. 根据权利要求13所述的方法，还包括：
    所述第二通信模块接收用户终端发送的第二指示信息，其中，所述第二指示信息携带有当前工作导联对应的柔性电极的采集时间段；
    所述处理器根据所述第二指示信息，控制所述心电数据收集器在所述采集时间段内通过所述当前工作导联对应的导联线接收所述当前工作导联对应的柔性电极采集的心电数据。
  15. 根据权利要求13所述的方法，还包括：
    所述处理器通过所述第二通信模块将所述心电数据发送给用户终端或云端服务器。
  16. 根据权利要求9所述的方法，还包括：
    所述处理器根据所述心电数据确定穿着所述衣服的用户的健康状态。
  17. 根据权利要求16所述的方法，其中，所述处理器根据所述心电数据确定穿着所述衣服的用户的健康状态，包括：
    所述处理器判断所述心电数据是否位于穿着所述衣服的用户对应的正常心电指标范围内；
    当所述心电数据超出所述用户对应的正常心电指标范围时，所述处理器确定所述用户的健康状态为异常，并生成报警信号。
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