CN109431467A - Atrial fibrillation method for detecting, device and wearable device and computer equipment - Google Patents

Atrial fibrillation method for detecting, device and wearable device and computer equipment Download PDF

Info

Publication number
CN109431467A
CN109431467A CN201811467327.4A CN201811467327A CN109431467A CN 109431467 A CN109431467 A CN 109431467A CN 201811467327 A CN201811467327 A CN 201811467327A CN 109431467 A CN109431467 A CN 109431467A
Authority
CN
China
Prior art keywords
heart rate
information
movement
heartbeat
numerical value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811467327.4A
Other languages
Chinese (zh)
Inventor
赵东锋
谢卫坚
林正炫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHENZHEN GOMTEL CENTURY TECHNOLOGY DEVELOPMENT Co Ltd
Original Assignee
SHENZHEN GOMTEL CENTURY TECHNOLOGY DEVELOPMENT Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHENZHEN GOMTEL CENTURY TECHNOLOGY DEVELOPMENT Co Ltd filed Critical SHENZHEN GOMTEL CENTURY TECHNOLOGY DEVELOPMENT Co Ltd
Priority to CN201811467327.4A priority Critical patent/CN109431467A/en
Publication of CN109431467A publication Critical patent/CN109431467A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7282Event detection, e.g. detecting unique waveforms indicative of a medical condition

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Psychiatry (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

This application involves a kind of atrial fibrillation method for detecting, device and wearable device and computer equipments.The described method includes: obtaining movement state information;Analyze whether the movement state information is stationary state;If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein include multiple heart rate signals in the heart rate information;The heart rate signal is parsed and generates the first heartbeat numerical value;Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation state.Heart rate information can be acquired using this method, judge whether the heart rate information in the unit time is more than threshold values, learn whether the person of being detected is in atrial fibrillation state, the capture rate of heart rate figure is improved, increase the accuracy rate for judging atrial fibrillation state.

Description

Atrial fibrillation method for detecting, device and wearable device and computer equipment
Technical field
This application involves medical detection technology, more particularly to a kind of atrial fibrillation method for detecting, device and wearable set Standby and computer equipment.
Background technique
Auricular fibrillation (abbreviation atrial fibrillation) is the most common perpetual arrhythmia.The incidence of atrial fibrillation is not with age Disconnected to increase, crowd is up to 10% within 75 years old or more.The frequency of atrial impulses is up to 300~600 beats/min when atrial fibrillation, and palmic rate is often It is fast and irregular, it is not only more faster than normal person heartbeat sometimes up to 100~160 beats/min, but also absolutely irregular, the heart Room loses effective contractile function.Contractile function is lost in atrium, and blood is easy to be retarded by silt in atrium and form thrombus, thrombus breaks loose After can lead to cerebral embolism (cerebral apoplexy), limb artery embolization (serious person even needs amputation) etc. with blood to whole body everywhere Risk.Atrial fibrillation clinical manifestation is palpitating speed, tired with out of strength or sense, seriously show as precordialgia, constriction or It is uncomfortable, it is dizzy or even faint.
Atrial fibrillation can only be screened by heart rate figure at present, and breaking-out of short duration for atrial fibrillation is difficult to the patient that captures, need into Mobile state heart rate figure etc. checks, but Dynamic Heart Rate figure capture rate is low, and cannot judge in time whether patient is in atrial fibrillation state.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of atrial fibrillation method for detecting, device for capableing of real-time detection With wearable device and computer equipment.
A kind of atrial fibrillation method for detecting, which comprises
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
In one embodiment, whether the analysis movement state information is that stationary state includes:
The movement state information is resolved into movement count value;
If the movement count value is greater than the count threshold, be kept in motion stopping acquisition heart rate information;
If the movement count value is less than or equal to the count threshold, remains static and start to acquire heart rate letter Breath.
In one embodiment, it is described by the movement state information resolve to movement count value include:
Judge whether the difference of the movement state information of adjacent time period is greater than preset movement threshold;
If the difference of the movement state information of adjacent time period is greater than preset movement threshold, movement is counted Value plus one;
It, will fortune if the difference of the movement state information of adjacent time period is less than or equal to preset movement threshold Dynamic count value empties.
In one embodiment, the heart rate signal is PPG signal.
In one embodiment, the method also includes:
Receive input instruction;
According to the input instruction acquisition ecg information, wherein the ecg information includes multiple electrocardiosignals;
Judge whether the ecg information is abnormality;
If the ecg information is not abnormality, the ecg information is parsed and generates the second heartbeat numerical value;
Judge whether the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
In one embodiment, the abnormality is that the signal numerical value of the adjacent electrocardiosignal is identical;Or
The difference of the signal numerical value of the adjacent electrocardiosignal is more than preset threshold.
A kind of atrial fibrillation arrangement for detecting, described device include:
Module is obtained, for obtaining movement state information;
Analysis module, for analyzing whether the movement state information is stationary state;
Acquisition module, if for the movement state information be stationary state, the heart rate information in the acquisition units time, It wherein, include multiple heart rate signals in the heart rate information;
Parsing module generates the first heartbeat numerical value for parsing the heart rate signal;
Judgment module, for judging whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold Value;
Object module is sentenced if being greater than preset heartbeat threshold value for the difference between multiple first heartbeat numerical value Surely it is in atrial fibrillation state.
A kind of atrial fibrillation detecting wearable device, the equipment includes: acceleration transducer, heart rate sensor, electrocardio sensing Device and data processing unit, the data processing unit respectively with the acceleration transducer, the heart rate sensor and described EGC sensor is connected;
The acceleration transducer acquires movement state information;
The heart rate sensor acquires heart rate information;
The EGC sensor acquires ecg information;
The data processing unit receives and processes the movement state information, the heart rate information and electrocardio letter Breath, according to treated, information judges whether in atrial fibrillation state.
The atrial fibrillation detecting wearable device can realize following steps:
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing Device performs the steps of when executing the computer program
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor It is performed the steps of when row
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
Above-mentioned atrial fibrillation method for detecting, device and wearable device and computer equipment acquire heart rate information, judge unit Whether the heart rate information in the time is more than threshold values, learns whether the person of being detected is in atrial fibrillation state, improves the capture rate of heart rate figure, Increase the accuracy rate for judging atrial fibrillation state.
Detailed description of the invention
Fig. 1 is the flow diagram of atrial fibrillation method for detecting in one embodiment;
Fig. 2 is the structural block diagram of atrial fibrillation arrangement for detecting in one embodiment;
Fig. 3 is the structural block diagram that atrial fibrillation detects wearable device in one embodiment;
Fig. 4 is the applied environment figure that atrial fibrillation detects wearable device in one embodiment;
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.
In one embodiment, as shown in Figure 1, providing a kind of atrial fibrillation method for detecting, comprising the following steps:
Step 102, movement state information is obtained.
In one embodiment, the collection period for obtaining the movement state information is 150ms.It is appreciated that described adopt Collecting the period may be 120ms, 130ms, 140ms, 160ms, 170ms, 180ms or other numerical value.
Step 104, analyze whether the movement state information is stationary state.
The step further include: the movement state information is resolved into movement count value;
If the movement count value is greater than the count threshold, be kept in motion stopping acquisition heart rate information;
If the movement count value is less than or equal to the count threshold, remains static and start to acquire heart rate letter Breath.
In one embodiment, the count threshold is 50, when the movement count value is greater than 50, indicates continuous and moves Make, it is believed that be currently at motion state, stop atrial fibrillation measurement;When the movement count value is less than or equal to 50, expression does not connect Continuous movement, it is believed that be currently at stationary state, start atrial fibrillation measurement.
It is described that the movement state information is resolved into movement count value further include:
Judge whether the difference of the movement state information of adjacent time period is greater than preset movement threshold;
If the difference of the movement state information of adjacent time period is greater than preset movement threshold, movement is counted Value plus one;
It, will fortune if the difference of the movement state information of adjacent time period is less than or equal to preset movement threshold Dynamic count value empties.
In one embodiment, the initial value of the movement count value is 0, in the judgment process, once adjacent time The difference of the movement state information in period is less than or equal to preset movement threshold, then empties movement count value, again It counts.
Step 106, if the movement state information is stationary state, the heart rate information in the acquisition units time, wherein It include multiple heart rate signals in the heart rate information.
Wherein, the heart rate signal is PPG signal.
In one embodiment, the frequency acquisition of the heart rate information is 512HZ, and 512 ppg data of acquisition per second connect It is continuous to use 60 seconds.
Step 108, the heart rate signal is parsed and generates the first heartbeat numerical value.
Step 110, judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value.
Step 112, if the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, judgement is in Atrial fibrillation state.
The method also includes:
Receive input instruction;
According to the input instruction acquisition ecg information, wherein the ecg information includes multiple electrocardiosignals;
Judge whether the ecg information is abnormality;
If the ecg information is not abnormality, the ecg information is parsed and generates the second heartbeat numerical value;
Judge whether the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
Wherein, the abnormality is that the signal numerical value of the adjacent electrocardiosignal is identical;Or the adjacent electrocardiosignal Signal numerical value difference be more than preset threshold.
The method also includes: according to the first heartbeat numerical value and the second heartbeat numerical value, generate result images.? In one embodiment, heart rate figure is generated according to the heart rate information, electrocardiogram is generated according to the ecg information.
In above-mentioned atrial fibrillation method for detecting, heart rate information is acquired, judges whether the heart rate information in the unit time is more than threshold values, It learns whether the person of being detected is in atrial fibrillation state, improves the capture rate of heart rate figure, increase the accuracy rate for judging atrial fibrillation state.
It should be understood that although each step in the flow chart of Fig. 1 is successively shown according to the instruction of arrow, this A little steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, these steps It executes there is no the limitation of stringent sequence, these steps can execute in other order.Moreover, at least part in Fig. 1 Step may include that perhaps these sub-steps of multiple stages or stage are executed in synchronization to multiple sub-steps It completes, but can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out, But it can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as shown in Fig. 2, providing a kind of atrial fibrillation arrangement for detecting, comprising: obtain module 210, analysis Module 220, acquisition module 230, parsing module 240, judgment module 250 and object module 260, in which:
The acquisition module 210, for obtaining movement state information.
The analysis module 220, for analyzing whether the movement state information is stationary state.
The acquisition module 230, if being stationary state, the heart in the acquisition units time for the movement state information Rate information, wherein include multiple heart rate signal in the heart rate information
The parsing module 240 generates the first heartbeat numerical value for parsing the heart rate signal.
The judgment module 250, for judging it is preset whether the difference between multiple first heartbeat numerical value is greater than Heartbeat threshold value.
The object module 260, if being greater than preset heartbeat threshold for the difference between multiple first heartbeat numerical value Value then determines to be in atrial fibrillation state.
Specific about atrial fibrillation arrangement for detecting limits the restriction that may refer to above for atrial fibrillation method for detecting, herein not It repeats again.Modules in above-mentioned atrial fibrillation arrangement for detecting can be realized fully or partially through software, hardware and combinations thereof.On Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, as shown in figure 3, providing a kind of atrial fibrillation detecting wearable device 300, comprising: acceleration Sensor 310, heart rate sensor 320, EGC sensor 330 and data processing unit 340, the data processing unit 340 divide It is not connected with the acceleration transducer 310, the heart rate sensor 320 and the EGC sensor 330;
The acceleration transducer 310 acquires movement state information;
The heart rate sensor 320 acquires heart rate information;
The EGC sensor 330 acquires ecg information;
The data processing unit 340 receives and processes the movement state information, the heart rate information and the electrocardio Information, according to treated, information judges whether in atrial fibrillation state.
Atrial fibrillation detecting wearable device 300 further includes network communication unit 350, by the data of acquisition by GPRS or The communication mode of person's bluetooth is transferred in external computer device.
Wherein, the acceleration transducer acquires ACC signal, and the heart rate sensor acquires PPG signal, and the electrocardio passes Sensor acquires EKG signal.
Referring to Fig. 4, in one embodiment, the atrial fibrillation detecting wearable device 300 is smartwatch, the intelligence Wrist-watch convenient for user wearing, and can it is round-the-clock acquisition user movement state information, heart rate information and ecg information, detect in real time Survey whether user is in atrial fibrillation state.
Specific about atrial fibrillation detecting wearable device 300 limits the limit that may refer to above for atrial fibrillation method for detecting Fixed, details are not described herein.Above-mentioned atrial fibrillation detecting wearable device 300 is worn simply, easy to use, can be with round-the-clock sensing Amount.
In one embodiment, a kind of computer equipment is provided, which can be terminal, internal structure Figure can be as shown in Figure 5.The computer equipment includes processor, the memory, network interface, display connected by system bus Screen and input unit.Wherein, the processor of the computer equipment is for providing calculating and control ability.The computer equipment is deposited Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and computer journey Sequence.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with Realize a kind of atrial fibrillation method for detecting.The display screen of the computer equipment can be liquid crystal display or electric ink display screen, The input unit of the computer equipment can be the touch layer covered on display screen, be also possible to be arranged on computer equipment shell Key, trace ball or Trackpad, can also be external keyboard, Trackpad or mouse etc..
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory Computer program, the processor perform the steps of when executing computer program
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
In one embodiment, it is also performed the steps of when processor executes computer program
The movement state information is resolved into movement count value;
If the movement count value is greater than the count threshold, be kept in motion stopping acquisition heart rate information;
If the movement count value is less than or equal to the count threshold, remains static and start to acquire heart rate letter Breath.
In one embodiment, it is also performed the steps of when processor executes computer program
Judge whether the difference of the movement state information of adjacent time period is greater than preset movement threshold;
If the difference of the movement state information of adjacent time period is greater than preset movement threshold, movement is counted Value plus one;
It, will fortune if the difference of the movement state information of adjacent time period is less than or equal to preset movement threshold Dynamic count value empties.
In one embodiment, it is also performed the steps of when processor executes computer program
Receive input instruction;
According to the input instruction acquisition ecg information, wherein the ecg information includes multiple electrocardiosignals;
Judge whether the ecg information is abnormality;
If the ecg information is not abnormality, the ecg information is parsed and generates the second heartbeat numerical value;
Judge whether the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated Machine program performs the steps of when being executed by processor
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate It include multiple heart rate signals in information;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
In one embodiment, it is also performed the steps of when computer program is executed by processor
The movement state information is resolved into movement count value;
If the movement count value is greater than the count threshold, be kept in motion stopping acquisition heart rate information;
If the movement count value is less than or equal to the count threshold, remains static and start to acquire heart rate letter Breath.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Judge whether the difference of the movement state information of adjacent time period is greater than preset movement threshold;
If the difference of the movement state information of adjacent time period is greater than preset movement threshold, movement is counted Value plus one;
It, will fortune if the difference of the movement state information of adjacent time period is less than or equal to preset movement threshold Dynamic count value empties.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Receive input instruction;
According to the input instruction acquisition ecg information, wherein the ecg information includes multiple electrocardiosignals;
Judge whether the ecg information is abnormality;
If the ecg information is not abnormality, the ecg information is parsed and generates the second heartbeat numerical value;
Judge whether the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation shape State.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (10)

1. a kind of atrial fibrillation method for detecting, which is characterized in that the described method includes:
Obtain movement state information;
Analyze whether the movement state information is stationary state;
If the movement state information is stationary state, the heart rate information in the acquisition units time, wherein the heart rate information In include multiple heart rate signals;
The heart rate signal is parsed and generates the first heartbeat numerical value;
Judge whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation state.
2. the method according to claim 1, wherein whether the analysis movement state information is static shape State includes:
The movement state information is resolved into movement count value;
If the movement count value is greater than the count threshold, be kept in motion stopping acquisition heart rate information;
If the movement count value is less than or equal to the count threshold, remains static and start to acquire heart rate information.
3. according to the method described in claim 2, it is characterized in that, described resolve to movement counting for the movement state information Value includes:
Judge whether the difference of the movement state information of adjacent time period is greater than preset movement threshold;
If the difference of the movement state information of adjacent time period is greater than preset movement threshold, movement count value is added One;
If the difference of the movement state information of adjacent time period is less than or equal to preset movement threshold, movement is counted Numerical value empties.
4. the method according to claim 1, wherein the heart rate signal is PPG signal.
5. the method according to claim 1, wherein the method also includes:
Receive input instruction;
According to the input instruction acquisition ecg information, wherein the ecg information includes multiple electrocardiosignals;
Judge whether the ecg information is abnormality;
If the ecg information is not abnormality, the ecg information is parsed and generates the second heartbeat numerical value;
Judge whether the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value;
If the difference between multiple second heartbeat numerical value is greater than preset heartbeat threshold value, determine to be in atrial fibrillation state.
6. according to the method described in claim 5, it is characterized in that,
The abnormality is that the signal numerical value of the adjacent electrocardiosignal is identical;Or
The difference of the signal numerical value of the adjacent electrocardiosignal is more than preset threshold.
7. a kind of atrial fibrillation arrangement for detecting, which is characterized in that described device includes:
Module is obtained, for obtaining movement state information;
Analysis module, for analyzing whether the movement state information is stationary state;
Acquisition module, if for the movement state information be stationary state, the heart rate information in the acquisition units time, In, it include multiple heart rate signals in the heart rate information;
Parsing module generates the first heartbeat numerical value for parsing the heart rate signal;
Judgment module, for judging whether the difference between multiple first heartbeat numerical value is greater than preset heartbeat threshold value;
Object module, if being greater than preset heartbeat threshold value for the difference between multiple first heartbeat numerical value, at judgement In atrial fibrillation state.
It is special the step of for realizing any one of claim 5 to 6 the method 8. a kind of atrial fibrillation detects wearable device Sign is that the equipment includes: acceleration transducer, heart rate sensor, EGC sensor and data processing unit, the data Processing unit is connected with the acceleration transducer, the heart rate sensor and the EGC sensor respectively;
The acceleration transducer acquires movement state information;
The heart rate sensor acquires heart rate information;
The EGC sensor acquires ecg information;
The data processing unit receives and processes the movement state information, the heart rate information and the ecg information, root According to treated, information judges whether in atrial fibrillation state.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
CN201811467327.4A 2018-12-03 2018-12-03 Atrial fibrillation method for detecting, device and wearable device and computer equipment Pending CN109431467A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811467327.4A CN109431467A (en) 2018-12-03 2018-12-03 Atrial fibrillation method for detecting, device and wearable device and computer equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811467327.4A CN109431467A (en) 2018-12-03 2018-12-03 Atrial fibrillation method for detecting, device and wearable device and computer equipment

Publications (1)

Publication Number Publication Date
CN109431467A true CN109431467A (en) 2019-03-08

Family

ID=65554743

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811467327.4A Pending CN109431467A (en) 2018-12-03 2018-12-03 Atrial fibrillation method for detecting, device and wearable device and computer equipment

Country Status (1)

Country Link
CN (1) CN109431467A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113491513A (en) * 2020-04-08 2021-10-12 华为技术有限公司 Heart rhythm detection control method and terminal
CN113940687A (en) * 2021-10-26 2022-01-18 庚辰科技(宁波)有限公司 Atrial fibrillation detection device
CN114224356A (en) * 2021-12-21 2022-03-25 苏州大学附属第一医院 Atrial fibrillation detection device
CN114271923A (en) * 2020-09-28 2022-04-05 上海微创惟美医疗科技(集团)有限公司 State detection and control method, device and medium

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103025239A (en) * 2010-07-16 2013-04-03 欧姆龙健康医疗事业株式会社 Exercise detection device and exercise detection device control method
CN203388859U (en) * 2013-07-23 2014-01-15 深圳市新前途网络技术有限公司 Body movement monitor
US20140107509A1 (en) * 2012-10-08 2014-04-17 Perminova Inc Internet-based system for collecting and analyzing data before, during, and after a cardiovascular procedure
CN104027109A (en) * 2013-03-07 2014-09-10 精工爱普生株式会社 Atrial fibrillation analyzer and program
CN105147278A (en) * 2015-09-30 2015-12-16 成都信汇聚源科技有限公司 Realizing method for long-distance electrocardiogram monitoring system with automatic analyzing and real-time information sharing functions
CN105232029A (en) * 2015-09-30 2016-01-13 成都信汇聚源科技有限公司 Automatic ultralow-power-consumption wearable dynamic electrocardiogram analysis equipment and implementation method thereof
CN105342624A (en) * 2015-10-21 2016-02-24 歌尔声学股份有限公司 Equipment and method for detecting exercise behaviors
CN105726005A (en) * 2016-02-03 2016-07-06 和渝斌 Cardiac electrical activity monitoring device and method
CN105902265A (en) * 2016-04-18 2016-08-31 广东乐心医疗电子股份有限公司 Atrial fibrillation detection device and intelligent wearable equipment comprising same
CN106691423A (en) * 2015-11-13 2017-05-24 庆旺科技股份有限公司 Wearable device and signal processing method of assessing heart health by heartbeat signals

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103025239A (en) * 2010-07-16 2013-04-03 欧姆龙健康医疗事业株式会社 Exercise detection device and exercise detection device control method
US20140107509A1 (en) * 2012-10-08 2014-04-17 Perminova Inc Internet-based system for collecting and analyzing data before, during, and after a cardiovascular procedure
CN104027109A (en) * 2013-03-07 2014-09-10 精工爱普生株式会社 Atrial fibrillation analyzer and program
CN203388859U (en) * 2013-07-23 2014-01-15 深圳市新前途网络技术有限公司 Body movement monitor
CN105147278A (en) * 2015-09-30 2015-12-16 成都信汇聚源科技有限公司 Realizing method for long-distance electrocardiogram monitoring system with automatic analyzing and real-time information sharing functions
CN105232029A (en) * 2015-09-30 2016-01-13 成都信汇聚源科技有限公司 Automatic ultralow-power-consumption wearable dynamic electrocardiogram analysis equipment and implementation method thereof
CN105342624A (en) * 2015-10-21 2016-02-24 歌尔声学股份有限公司 Equipment and method for detecting exercise behaviors
CN106691423A (en) * 2015-11-13 2017-05-24 庆旺科技股份有限公司 Wearable device and signal processing method of assessing heart health by heartbeat signals
CN105726005A (en) * 2016-02-03 2016-07-06 和渝斌 Cardiac electrical activity monitoring device and method
CN105902265A (en) * 2016-04-18 2016-08-31 广东乐心医疗电子股份有限公司 Atrial fibrillation detection device and intelligent wearable equipment comprising same

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113491513A (en) * 2020-04-08 2021-10-12 华为技术有限公司 Heart rhythm detection control method and terminal
CN114271923A (en) * 2020-09-28 2022-04-05 上海微创惟美医疗科技(集团)有限公司 State detection and control method, device and medium
CN113940687A (en) * 2021-10-26 2022-01-18 庚辰科技(宁波)有限公司 Atrial fibrillation detection device
CN114224356A (en) * 2021-12-21 2022-03-25 苏州大学附属第一医院 Atrial fibrillation detection device

Similar Documents

Publication Publication Date Title
CN109431467A (en) Atrial fibrillation method for detecting, device and wearable device and computer equipment
US11147463B2 (en) Method and apparatus for high accuracy photoplethysmogram based atrial fibrillation detection using wearable device
US20240156357A1 (en) Discordance monitoring
CN105943021B (en) A kind of wearable cardiac rhythm monitoring device and the rhythm of the heart monitor system
US10779744B2 (en) Automatic method to delineate or categorize an electrocardiogram
US8620418B1 (en) Systems and methods for processing and displaying patient electrocardiograph data
JP5416274B2 (en) Adaptive event memory in an implantable device
US11000235B2 (en) Monitoring procedure for early warning of cardiac episodes
EP2845539B1 (en) Device and method for automatically normalizing the physiological signals of a living being
JP6692498B2 (en) Method and system for monitoring a user's cardiac activity
US11311198B2 (en) System and method for determining psychological stress of a person
Ahsanuzzaman et al. Low cost, portable ECG monitoring and alarming system based on deep learning
De Venuto et al. Gait analysis and quantitative drug effect evaluation in Parkinson disease by jointly EEG-EMG monitoring
US20180279953A1 (en) Wearable Blood Pressure Measurement Systems
EP4282327A1 (en) Deep learning-based heart rate measurement method and wearable device
CN112957018A (en) Heart state detection method and device based on artificial intelligence
Oresko Portable heart attack warning system by monitoring the ST segment via smartphone electrocardiogram processing
Lakkamraju et al. Improvements in accurate detection of cardiac abnormalities and prognostic health diagnosis using artificial intelligence in medical systems
CN109770904A (en) Monitoring method, device, computer equipment and the storage medium of apnea
US20240099665A1 (en) Electrocardiogram data processing server, electrocardiogram data processing method of extracting analysis required section while segmenting electrocardiogram signal into signal segments with variable window sizes, and computer program
US10939830B2 (en) Determining blood pulse characteristics based on stethoscope data
EP3884863A1 (en) Method and system for tremor assessment using photoplethysmography (ppg)
US20210169429A1 (en) Method and device for capacitive touch panel based biosignal measurement
WO2020187266A1 (en) Wearable device, signal processing method and device
WO2016051379A1 (en) User state classification

Legal Events

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

Effective date of abandoning: 20220311