CN109953756A - Atrial fibrillation monitoring system and wearable device - Google Patents
Atrial fibrillation monitoring system and wearable device Download PDFInfo
- Publication number
- CN109953756A CN109953756A CN201711401597.0A CN201711401597A CN109953756A CN 109953756 A CN109953756 A CN 109953756A CN 201711401597 A CN201711401597 A CN 201711401597A CN 109953756 A CN109953756 A CN 109953756A
- Authority
- CN
- China
- Prior art keywords
- atrial fibrillation
- ppg
- module
- score
- variation 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
Links
Classifications
-
- 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]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/361—Detecting fibrillation
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Cardiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physiology (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (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
The present invention provides a kind of atrial fibrillation monitoring system and wearable devices, wherein atrial fibrillation monitoring system includes PPG signal acquisition process module, PPG heart rate variability evaluation module, atrial fibrillation judgment module, atrial fibrillation logging modle, atrial fibrillation statistical module and cue module;Wherein atrial fibrillation statistical module is used for the atrial fibrillation event data based on several records, and statistics obtains the atrial fibrillation load of 0 point~24 points different periods round the clock, and cue module is for prompting user to carry out ECG detections in atrial fibrillation load maximum one or more periods.By the above-mentioned means, the present invention can be improved paroxysmal, the ECG detection probability of early stage atrial fibrillation without clinical symptoms and detection timeliness, early stage atrial fibrillation is made to be made a definite diagnosis and be controlled in time.
Description
Technical field
This application involves atrial fibrillation monitoring technical fields, in particular to based on the atrial fibrillation monitoring system of PPG analysis of heart rate variability
With the wearable device being applied in the atrial fibrillation monitoring system.
Background technique
The method of traditional detection atrial fibrillation is that the electrocardio by measuring patient obtains ECG waveform figure, analyzes ECG by doctor
Circadian variation in waveform diagram whether there is atrial fibrillation to diagnose.
It is purposive to detect obtained ECG waveform figure due to the randomness of part atrial fibrillation, paroxysmal and without clinical symptoms
In may have no atrial fibrillation waveform, and then testee is made to be diagnosed as no atrial fibrillation, causes the state of an illness that cannot be controlled in time.
The temporal regularity that atrial fibrillation generation is obtained therefore, it is necessary to a kind of easy, lasting monitoring means, improves random battle array
The ECG detection probability of hair property atrial fibrillation provides foundation to provide corresponding clinical treatment measure as early as possible.
Summary of the invention
The application discloses a kind of atrial fibrillation monitoring system and wearable device, by continue to monitor and count atrial fibrillation event when
Between rule, improve paroxysmal, atrial fibrillation without clinical symptoms ECG detection probability and detection timeliness.
To achieve the above object, the application public technology scheme is as follows:
On the one hand, the disclosure proposes a kind of atrial fibrillation monitoring system, comprising: PPG signal acquisition process module, for persistently adopting
Collection is monitored the PPG heartbeat signal of individual to provide PPG heartbeat signal segment;PPG heart rate variability evaluation module, for assessing
The heart rate variability for stating PPG heartbeat signal segment is horizontal;Atrial fibrillation judgment module, for based on described in heart rate variability level judgement
PPG heartbeat signal segment whether there is atrial fibrillation;Atrial fibrillation logging modle, for being judged presence when the PPG heartbeat signal segment
When atrial fibrillation, atrial fibrillation event data is recorded, wherein the atrial fibrillation event data includes the PPG heartbeat with the atrial fibrillation event correlation
The acquisition time of signal segment;Atrial fibrillation statistical module, for being based on several atrial fibrillation event datas, statistics obtains different round the clock
The atrial fibrillation load of period;And cue module, for prompting the monitored individual in the maximum one or more of atrial fibrillation load
Period carries out ECG detection.
Wherein, the index of the atrial fibrillation load includes the quantity of the atrial fibrillation event data.
Preferably, several atrial fibrillation event datas include the atrial fibrillation event in several days, several weeks or several months
Data.
Further, the system also includes ECG signal acquisition processing modules, are used to provide the described needed for ECG detection
Device.
Further, the system also includes motor message acquisition processing modules, reduce motion artifacts to room for providing
Quiver judgement accuracy influence needed for device.
Wherein, above-mentioned PPG heart rate variability evaluation module includes: PPG interphase extraction unit, for believing from the PPG heartbeat
It is extracted in number segment and obtains PPG inter-beat intervals sequence;Heartbeat interval variation value computing unit, for based between the PPG heartbeat
Heartbeat interval variation value sequence is calculated in phase sequence;And atrial fibrillation score determination unit, for according to a preset variation value-
Score mapping table calculates the heartbeat interval variation resulting accumulative atrial fibrillation score of value sequence;Wherein, the accumulative atrial fibrillation obtains
Divide the index for being configured as the heart rate variability level, the atrial fibrillation judgment module is configured as the accumulative atrial fibrillation score
Compared with a default score threshold, judge the PPG heartbeat signal segment with the presence or absence of atrial fibrillation according to comparison result.
Preferably, if the variation value-score mapping table be configured to include several atrial fibrillation score values and with the stove room
Several interphase variation value segments of the score value that quivers mapping.
In one embodiment, the heartbeat interval variation value computing unit be configured as according to formula dINT (n)=
(INT (n)/((INT (n)+INT (n-1)+INT (n-2)) -1/3) calculates the variation value of each interphase to ABS, wherein INT (n)
Indicate the time interval of n-th of interphase, INT (n-1) and INT (n-2) indicate the time close to the first two interphase of n-th of interphase
Interval, n >=3.
Wherein, the variation value-score mapping table is configured to include 9 interphase variation value segments, and the interphase becomes
Different value [0,0.012) segment and [0.18,0.23) the atrial fibrillation score values of segment correspondence mappings is negative, [0.012,0.18)
The atrial fibrillation score value of segment correspondence mappings is positive.
On the other hand, the present disclosure proposes a kind of wearable device, the wearable device includes above-mentioned atrial fibrillation monitoring system
System.
Above-mentioned atrial fibrillation monitoring system prompts user to exist by continuing to monitor and counting the temporal regularity round the clock of atrial fibrillation event
ECG is detected in the high atrial fibrillation load period, improve paroxysmal, atrial fibrillation without clinical symptoms ECG detection probability and detection
Timeliness.
Detailed description of the invention
Fig. 1 shows the schematic diagram of an exemplary ECG heartbeat segment and PPG heartbeat segment;
Fig. 2 shows the schematic diagrames of the comprising modules of an exemplary atrial fibrillation monitoring system;
Fig. 3 shows the schematic diagram of the comprising modules of an exemplary atrial fibrillation monitoring system;
Fig. 4 shows the schematic diagram of the component units of an exemplary PPG heart rate variability evaluation module;
Fig. 5 shows the schematic diagram of an exemplary atrial fibrillation monitoring systematic difference configuration;
Fig. 6 shows the schematic diagram of an exemplary atrial fibrillation monitoring systematic difference configuration;
Fig. 7 shows the schematic diagram of an exemplary atrial fibrillation monitoring systematic difference configuration.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
When atrial fibrillation, palmic rate is not only more faster than normal heartbeat, but also absolutely irregular, and atrium loses effective contraction
Function.PPG (photoplethysmography) heart rate sensor due to it is convenient, simplify and be widely used in wearable device
Continuous monitor heart rate.In general, since PPG heart rate and the ECG rhythm and pace of moving things are there are correspondence (referring to Fig. 1), it can be by continuously supervising
It surveys PPG heart rate and analyzes the generation that PPG heart rate variability level carrys out monitoring and warning atrial fibrillation.
According to a kind of exemplary atrial fibrillation monitoring system 200 of the disclosure, as shown in Fig. 2, including PPG signal acquisition process module
202, PPG heart rate variability evaluation modules 204, atrial fibrillation judgment module 206, atrial fibrillation logging modle 208, atrial fibrillation statistical module 210, with
And cue module 212.
Wherein, PPG signal acquisition process module 202 is monitored the PPG heartbeat signal of individual for continuous collecting to provide
Detected PPG heartbeat signal segment.For example, PPG signal acquisition process module can configure PPG photoelectric sensor and PPG signal
Logic unit is handled, and the PPG signal processing logic unit can be used for that the PPG heartbeat signal is carried out at noise reduction and amplification
Reason.
PPG heart rate variability evaluation module 204, the heart rate variability for assessing the PPG heartbeat signal segment is horizontal, example
Such as, the heart rate variability level can standard deviation by several heartbeat interval in the PPG heartbeat signal segment, adjacent heartbeat
The indexs such as the standard deviation of the difference of interphase indicate.
Atrial fibrillation judgment module 206, for judging the PPG heartbeat signal based on the index value of the heart rate variability level
Segment whether there is atrial fibrillation, for example, threshold method can be used by the index value of the heart rate variability level and a preset index threshold
Value is compared, and judges the PPG heartbeat signal piece when the index value of the heart rate variability level is greater than the metrics-thresholds
There are atrial fibrillations for section.
Atrial fibrillation logging modle 208 records atrial fibrillation thing for being judged there are when atrial fibrillation when the PPG heartbeat signal segment
Number of packages evidence, for example, record and the PPG heartbeat signal segment of atrial fibrillation event correlation acquisition time (time point acquired in real time), with
The data such as the time span of PPG heartbeat signal segment of atrial fibrillation event correlation.
Atrial fibrillation statistical module 210, several atrial fibrillation event datas for being recorded based on atrial fibrillation logging modle 208, statistics
Obtain the atrial fibrillation load of different periods between 0 point~24 points.For example, integral point atrial fibrillation hourly is negative between 0 point~24 points of statistics
Lotus.Wherein, the index of the atrial fibrillation load can indicate that wherein atrial fibrillation duration can pass through PPG heartbeat by the atrial fibrillation duration accumulated
The duration data of signal segment provide indirectly.Preferably, the index of the atrial fibrillation load can also be by the atrial fibrillation event number
According to quantity indicate.Preferably, several days several atrial fibrillation event datas that can be recorded based on atrial fibrillation logging modle 208,
The quantity of the atrial fibrillation event data of identical period between daily 0 point~24 points is added up, obtains based on weekly data statistics, be based on
Month data statistics or based on atrial fibrillation power load distributing round the clock between year according to statistics 0 point~24 points.
Cue module 212, for it is being counted based on aforementioned day, Zhou Tongji's or the moon statistics 0 point~24 points between
The temporal regularity of atrial fibrillation power load distributing prompts the monitored individual to carry out in atrial fibrillation load maximum one or more periods
ECG detection.Illustratively, monitored individual by the portable ECG acquisition device except system 200 or can go to medical treatment
The ECG detection device that mechanism is provided by medical institutions the atrial fibrillation load maximum one or more periods carry out it is primary or
Multiple ECG acquisition testing.
Preferably, atrial fibrillation monitoring system 200 further includes motor message acquisition processing module 214, for example, motor message acquires
Processing module 214 can be configured to include the motion sensors such as acceleration transducer, gyro sensor and corresponding motor message
Handle logic unit.When motor message is more than certain threshold value, PPG signal acquisition process module PPG heartbeat signal collected
It will receive the pollution of motion artifacts, contaminated PPG heartbeat signal cannot provide the PPG heart that can carry out heart rate variability horizontal analysis
It fights signal segment, in an exemplary embodiment, atrial fibrillation judgment module 210 may determine that the period that the motor message occurs
Interior no atrial fibrillation.
According to a kind of exemplary atrial fibrillation monitoring system 300 of the disclosure, as shown in figure 3, further including ECG signal acquisition process mould
Block 316, wherein system 300 is similar with the system of previous embodiment 200 in many aspects, and similar module passes through similar mark
It number is indicated.
Device needed for ECG signal acquisition processing module 316 is used to provide ECG detection above-mentioned.For example, ECG signal is adopted
Collection processing module 316 is configurable to the ECG acquisition electrode and its signal processing logic unit of measurement both hands circuit electrocardiosignal.
Wherein, ECG signal processing logic unit is for amplifying and filtering noise reduction process to the ECG signal of acquisition.
Atrial fibrillation monitoring system of the invention is horizontal by the heart rate variability that continuous collecting analyzes PPG signal segment, is based on the heart
The rate Deflection level judgement PPG signal segment whether there is atrial fibrillation;The temporal regularity round the clock of atrial fibrillation load is counted,
Prompt user carries out ECG detection within the high atrial fibrillation load period, to improve the timeliness of atrial fibrillation ECG waveform capture, enables users to
It is enough to obtain immunotherapy targeted autoantibody as early as possible, avoid the state of an illness from further developing.
According to the example of the disclosure, with reference to the composition schematic diagram of PPG heart rate variability evaluation module shown in Fig. 4, PPG heart rate
Variance estimation module 204/304 is configured to include: PPG interphase extraction unit 4042, heartbeat interval variation value computing unit
4044 and atrial fibrillation score determination unit 4046.
Wherein, PPG interphase extraction unit 4042 is configured as between obtaining PPG heartbeat from extraction in PPG heartbeat signal segment
Phase sequence.For example, inter-beat intervals sequence INT (n), n=1,2 are obtained by extracting the pulse crest interphase in PPG signal segment,
3 ... ....In order to obtain accurate atrial fibrillation judging result, the length of PPG heartbeat signal segment should generally include at least 30 companies
Continuous heartbeat interval.
Heartbeat interval variation value computing unit 4044, is configured as based on inter-beat intervals sequence INT (n), calculates between heartbeat
The variation value of phase.Wherein heartbeat interval variation value calculation formula are as follows:
DINT (n)=ABS (INT (n)/(INT (n)+INT (n-1)+INT (n-2)) -1/3) (formula 1)
Wherein, as n=1 or 2, dINT (n)=0 is taken.
Atrial fibrillation score determination unit 4046 is configured as searching dINT according to a preset variation value-score mapping table
(n) the atrial fibrillation score value w (n) (n=1,2,3 ...) of (n=1,2,3 ...) correspondence mappings, by each w (n) (n=1,2,3 ...)
It is cumulative, obtain heartbeat interval variation value sequence dINT (n) (n=1,2,3 ...) resulting accumulative atrial fibrillation score Sw。
Further, due to the value for the dINT being calculated according to formula 1 may have unlimited kind as a result, described in order to simplify
Variation value-score mapping table, preferably, the variation value is divided into several segments, every section of variation value is set each other off with an atrial fibrillation score value
It penetrates.According to the exemplary statistic op- timization of the disclosure, the variation value is divided into 9 sections.
Since in most cases, heart beat rhythm is regular, therefore heart beat interval is similar, it may thus be appreciated that normally
In the case of the value of dINT be located near 0 value, it is further known that, the corresponding atrial fibrillation score value of dINT close to 0 value should be smaller.According to warp
Test statistics, the value of dINT relevant to atrial fibrillation concentrate on section [0.012,0.18), thus section [0.012,0.18) in
The corresponding atrial fibrillation score of dINT is larger;And section [0,0.012) and [0.18,0.23) dINT mainly due to unrelated with atrial fibrillation
Disturbing factor generate, therefore section [0,0.012) and [0.18,0.23) in the corresponding atrial fibrillation score of dINT it is smaller or
It is negative.Exemplary, the preset variation value-score mapping table is as shown in table 1.
Table 1
Interphase variation value dINT | Atrial fibrillation score value w |
[0,0.012) | -19.01 |
[0.012,0.045) | 8.63 |
[0.045,0.07) | 12.37 |
[0.07,0.11) | 15.26 |
[0.11,0.13) | 14.45 |
[0.13,0.16) | 19.78 |
[0.16,0.18) | 6.23 |
[0.18,0.2) | -16.42 |
[0.2,0.23) | -10.36 |
According to the example of the disclosure, the accumulative atrial fibrillation score SwIt is configured as the index of heart rate variability level, it is described
Atrial fibrillation judgment module 210/310 is configured as the accumulative atrial fibrillation score SwCompared with a default score threshold δ, work as Sw≥δ
When, judge that there are atrial fibrillations for the PPG heartbeat signal segment, works as SwWhen < δ, judging the PPG heartbeat signal segment, there is no rooms
It quivers.Wherein exemplary, the threshold value δ of setting is equal with heartbeat interphase number.
It is the inter-beat intervals sequence INT1 (n) of extraction, corresponding in one section of exemplary 39 seconds PPG heartbeat signal segment
Heartbeat interval makes a variation value sequence dINT1 (n) and atrial fibrillation score value w1 (n) corresponding to table 1 is as shown in table 2, wherein presets
Score threshold δ=60 point, according to table 2 calculate dINT1 (n) (n=1~60) accumulative atrial fibrillation score S1wIt is 243.72, S1wGreatly
In δ, therefore judge that this section of PPG heartbeat signal segment includes atrial fibrillation.
Table 2
In another section of exemplary 71 seconds PPG heartbeat signal segment, the inter-beat intervals sequence INT2 (n) of extraction, correspond to
Heartbeat interval variation value sequence dINT2 (n) and atrial fibrillation score value w2 (n) corresponding to table 1 it is as shown in table 3, wherein set in advance
Score threshold δ=60 point set calculate the accumulative atrial fibrillation score S2 of dINT2 (n) (n=1~60) according to table 3wIt is -238.27,
S2wLess than δ, therefore judge that this section of PPG heartbeat signal segment does not include atrial fibrillation.
Table 3
Atrial fibrillation monitoring system of the invention, by extracting the PPG interphase being tested in the PPG heartbeat signal segment of individual in terms of
The variation value of PPG interphase is calculated, different atrial fibrillation score values is distributed for different variation values, in the PPG heartbeat signal segment
Each interphase variation is worth corresponding atrial fibrillation score value and carries out accumulation calculating, when accumulative atrial fibrillation score is greater than preset score threshold
When, judge that the PPG heartbeat signal segment includes atrial fibrillation.The atrial fibrillation deterministic process of the atrial fibrillation monitoring system is simple, imitates
Rate is high, PPG heartbeat signal segment appropriate for length judging nicety rate with higher.
Three embodiments presented below are described further above-mentioned atrial fibrillation monitoring system, since three embodiments are in many
Aspect has similitude, and similar modules/devices/equipment is indicated by similar label.
In an exemplary atrial fibrillation monitoring system, with reference to Fig. 5, atrial fibrillation monitoring system 500 includes 510 (example of wearable device
Such as wrist wearable device refers to portion's wearable device, neck wearable device, ear's wearable device), with it is described wearable
The user equipment such as intelligent mobile terminal 520 (such as smart phone, tablet computer etc.) and data clothes of equipment wireless communication
Business device 530.Wherein, the wearable device 510 can pass through bluetooth, RF, audio or NFC etc. with the intelligent mobile terminal 520
Near radio mode communicates.
The wearable device 510 is configured to include memory, processor, communication unit, display unit, human-computer interaction
Module, PPG signal acquisition process module 202/302, motor message acquisition processing module 216/316, PPG heart rate variability assess mould
Block 204/304, atrial fibrillation judgment module 206/306 and ECG signal acquisition processing module 214/314;The intelligent mobile terminal
520 are configured to include memory, processor, human-computer interaction module, display unit, communication unit and the wearable device
Corresponding wearing APP, atrial fibrillation logging modle 208/308, atrial fibrillation statistical module 210/310 and cue module 212/312.
Cue module 212/312 directly can issue prompting message by the intelligent mobile terminal 520 and user is prompted to carry out
ECG detection, can also be communicated by intelligent mobile terminal 520 with wearable device 510, issued prompt by wearable device 510 and disappeared
Breath prompt user carries out ECG detection.Specific prompting mode can be prompt or sound and text of the vibration in conjunction with text
The prompt of this combination.
The ECG signal of the monitored individual of 214/314 acquisition process of ECG signal acquisition processing module can be by wearable device
510 are sent to the intelligent mobile terminal 520, then are uploaded to data server 530 further by the intelligent mobile terminal 520
Processing and analysis.
In another exemplary atrial fibrillation monitoring system, with reference to Fig. 6, atrial fibrillation monitoring system 600 include wearable device 610 with
And the data server 630 with wearable device wireless communication.Wherein, the wearable device 610 takes with the data
Business device 630 can pass through the wireless communication modes such as 3G/4G/LTE, GPRS, wifi.
The wearable device 610 is configured to include memory, processor, communication unit, display unit, human-computer interaction
Module, PPG signal acquisition process module 202/302, motor message acquisition processing module 216/316, PPG heart rate variability assess mould
Block 204/304, atrial fibrillation judgment module 206/306, atrial fibrillation logging modle 208/308, atrial fibrillation statistical module 210/310, prompt mould
Block 212/312 and ECG signal acquisition processing module 214/314.Specific prompting mode can be vibration in conjunction with text
The prompt of prompt or sound in conjunction with text.
The ECG signal of the monitored individual of 214/314 acquisition process of ECG signal acquisition processing module can be by wearable device
The data server 630 is sent to be further processed and analyze.Optionally, atrial fibrillation monitoring system 600 can also include and institute
State the intelligent mobile terminal 620 of the wireless communication of wearable device 610, the wearable device 610 and the intelligent mobile terminal
620 can be communicated by the near radios mode such as bluetooth, RF, audio or NFC.ECG signal acquisition processing module 214/314 acquires
The ECG signal of the monitored individual of processing can be sent to intelligent mobile terminal 620 by wearable device, then by intelligent mobile terminal
620, which are forwarded to data server 630, is further processed and analyzes.
In another exemplary atrial fibrillation monitoring system, with reference to Fig. 7, atrial fibrillation monitoring system 700 include wearable device 710 with
And the data server 730 with wearable device wireless communication;Wherein, the wearable device 710 takes with the data
Business device 730 can pass through the wireless communication modes such as 3G/4G/LTE, GPRS, wifi.
The wearable device 710 is configured to include memory, processor, communication unit, display unit, human-computer interaction
Module, PPG signal acquisition process module 202/302, motor message acquisition processing module 216/316, PPG heart rate variability assess mould
Block 204/304, atrial fibrillation judgment module 206/306 and ECG signal acquisition processing module 214/314.The data server quilt
Be configured to include memory, processor, communication unit, atrial fibrillation logging modle 208/308, atrial fibrillation statistical module 210/310 and
Cue module 212/312.
When atrial fibrillation judgment module 206/306 determines to occur atrial fibrillation, atrial fibrillation event data is sent to by wearable device 710
The data server 730, is stored by atrial fibrillation logging modle 208/308.The data server 730 passes through cue module 212/
312, which send ECG to the wearable device 710, detects prompting message, and wearable device 710 is by ECG signal acquisition processing module
The ECG signal of the monitored individual of 214/314 acquisition process is sent to the data server 730 and is further processed and analyzes.
Optionally, atrial fibrillation monitoring system 700 can also include the intelligent mobile with the wearable device 710 wireless communication
Terminal 720, the wearable device 710 can be by bluetooth, RF, audio or NFC etc. closely with the intelligent mobile terminal 720
Wireless communication mode.When atrial fibrillation judgment module 206/306 determines to occur atrial fibrillation, wearable device 710 is by atrial fibrillation event data
It is sent to the intelligent mobile terminal 720, intelligent mobile terminal 720 is forwarded to data server 730, by atrial fibrillation logging modle
208/308 storage.It will be appreciated by those skilled in the art that, data server 730 can also be to the intelligent mobile terminal 720
It sends ECG and detects prompting message, user is prompted to carry out ECG detection in the atrial fibrillation load biggish period.Wearable device 710 will
The ECG signal of the monitored individual of 214/314 acquisition process of ECG signal acquisition processing module is sent to intelligent mobile terminal 720,
Data server 730 is forwarded to by intelligent mobile terminal 720 to be further processed and analyze.
Configuration enlightenment based on above-mentioned three kinds specific systems, it will be appreciated by those skilled in the art that, it can also be by institute
State PPG signal acquisition process module 202/302, motor message acquisition processing module 216/316 and ECG signal acquisition process mould
The configuration of block 214/314 at wearable device end, by PPG heart rate variability evaluation module 204/304, atrial fibrillation judgment module 206/306,
Atrial fibrillation logging modle 208/308, atrial fibrillation statistical module 210/310 and the configuration of cue module 212/312 are in server end;Or
Person, will be by the PPG signal acquisition process module 202/302, motor message acquisition processing module 216/316 and ECG signal
Acquisition processing module 214/314 configures at wearable device end, and PPG heart rate variability evaluation module 204/304, atrial fibrillation are judged mould
Block 206/306, atrial fibrillation logging modle 208/308, atrial fibrillation statistical module 210/310 and the configuration of cue module 212/312 are in intelligence
A variety of other specific embodiments such as energy mobile terminal, details are not described herein.
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory can be used for storing the module and/or unit, and the processor is stored in by operation or execution
The corresponding computer program of module/unit in the memory, and the data being stored in memory are called, described in realization
The various functions of device.In addition, memory may include high-speed random access memory, it can also include non-volatile memories
Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
To sum up, the atrial fibrillation monitoring system that the disclosure proposes can be become by continuing to monitor the heart rate of PPG heartbeat signal segment
The different monitored individual of horizontal judgement whether there is atrial fibrillation, pass through the atrial fibrillation of 0 point~24 points of statistics time range different periods round the clock
Load level prompts user to carry out ECG detection within the high atrial fibrillation negative period, to improve the timeliness of capture atrial fibrillation ECG waveform.This
Disclosed atrial fibrillation monitoring system module simple structure is applicable to include wearable PPG detection device or wearable PPG/ECG inspection
In three end application systems of measurement equipment, intelligent mobile terminal and data server.
It will appreciated by the skilled person that realizing that the function of all or part of module of above-described embodiment can lead to
Hardware is crossed to complete, relevant hardware can also be instructed to complete by program.
Those skilled in the art will readily occur to other embodiment party of the application after considering specification and practicing the disclosure
Case.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or adaptability
Variation follows the general principle of the application and including the undocumented common knowledge or usual skill in the art of the application
Art means.
The foregoing is merely the preferred embodiments of the application, not to limit the application, it is all in spirit herein and
Any modification, equivalent replacement or improvement for being made within principle etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of atrial fibrillation monitoring system characterized by comprising
PPG signal acquisition process module is monitored the PPG heartbeat signal of individual for continuous collecting to provide PPG heartbeat signal
Segment;
PPG heart rate variability evaluation module, the heart rate variability for assessing the PPG heartbeat signal segment are horizontal;
Atrial fibrillation judgment module, for judging the PPG heartbeat signal segment with the presence or absence of atrial fibrillation based on the heart rate variability level;
Atrial fibrillation logging modle records atrial fibrillation event data for being judged there are when atrial fibrillation when the PPG heartbeat signal segment,
Wherein, the atrial fibrillation event data includes the acquisition time with the PPG heartbeat signal segment of the atrial fibrillation event correlation;
Atrial fibrillation statistical module, for being based on several atrial fibrillation event datas, statistics obtains the atrial fibrillation load of different periods round the clock;
And
Cue module, for prompting the monitored individual to carry out ECG detection in atrial fibrillation load maximum one or more periods.
2. system according to claim 1, which is characterized in that the index of the atrial fibrillation load includes the atrial fibrillation event number
According to quantity.
3. system according to claim 1, which is characterized in that several atrial fibrillation event datas include several days,
The atrial fibrillation event data in several weeks or several months.
4. described in any item systems according to claim 1~3, which is characterized in that further include:
ECG signal acquisition processing module, device needed for being used to provide the described ECG detection.
5. system according to claim 4, which is characterized in that further include:
Motor message acquisition processing module, for dress needed for providing the influence for reducing the accuracy that motion artifacts judge atrial fibrillation
It sets.
6. system according to claim 5, which is characterized in that the PPG heart rate variability evaluation module includes:
PPG interphase extraction unit obtains PPG inter-beat intervals sequence for extracting from the PPG heartbeat signal segment;
Heartbeat interval variation value computing unit, for heartbeat interval variation value to be calculated based on the PPG inter-beat intervals sequence
Sequence;And
Atrial fibrillation score determination unit, for calculating the heartbeat interval variation value according to a preset variation value-score mapping table
The resulting accumulative atrial fibrillation score of sequence;
Wherein, the accumulative atrial fibrillation score is configured as the index of the heart rate variability level, the atrial fibrillation judgment module
It is configured as by the accumulative atrial fibrillation score compared with a default score threshold, judges that the PPG heartbeat is believed according to comparison result
Number segment whether there is atrial fibrillation.
7. system according to claim 6, which is characterized in that the variation value-score mapping table is configured to include
Several atrial fibrillation score values and several interphase variation value segments mapped with several atrial fibrillation score values.
8. system according to claim 7, which is characterized in that the heartbeat interval variation value computing unit is configured as root
According to formula dINT (n)=ABS, (INT (n)/((INT (n)+INT (n-1)+INT (n-2)) -1/3) calculates the variation of each interphase
Value, wherein INT (n) indicates the time interval of n-th of interphase, and INT (n-1) and INT (n-2) are indicated close to before n-th of interphase
The time interval of two interphases, n >=3.
9. system according to claim 8, which is characterized in that the variation value-score mapping table is configured to include 9
Interphase variation value segment, the interphase variation value [0,0.012) segment and [0.18,0.23) segment correspondence mappings
Atrial fibrillation score value is negative, [0.012,0.18) the atrial fibrillation score values of segment correspondence mappings is positive.
10. a kind of wearable device, which is characterized in that including atrial fibrillation monitoring system according to any one of claims 1 to 9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711401597.0A CN109953756A (en) | 2017-12-22 | 2017-12-22 | Atrial fibrillation monitoring system and wearable device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711401597.0A CN109953756A (en) | 2017-12-22 | 2017-12-22 | Atrial fibrillation monitoring system and wearable device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109953756A true CN109953756A (en) | 2019-07-02 |
Family
ID=67018934
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711401597.0A Pending CN109953756A (en) | 2017-12-22 | 2017-12-22 | Atrial fibrillation monitoring system and wearable device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109953756A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110623652A (en) * | 2019-09-17 | 2019-12-31 | 华为技术有限公司 | Data display method and electronic equipment |
WO2022110231A1 (en) * | 2020-11-30 | 2022-06-02 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring system, atrial fibrillation comprehensive management method and monitoring data display method |
CN115137369A (en) * | 2021-03-30 | 2022-10-04 | 华为技术有限公司 | Electronic equipment and system for performing atrial fibrillation early warning based on different atrial fibrillation stages |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1195277A (en) * | 1996-04-17 | 1998-10-07 | 精工爱普生株式会社 | Arrhythmia detector |
CN201282481Y (en) * | 2007-11-22 | 2009-07-29 | 中国人民解放军第三军医大学野战外科研究所 | Remote health monitoring service device |
CN102551708A (en) * | 2010-10-14 | 2012-07-11 | 株式会社电装 | Living body state monitor apparatus |
CN102834047A (en) * | 2010-01-29 | 2012-12-19 | 爱德华兹生命科学公司 | Elimination of the effects of irregular cardiac cycles in the determination of cardiovascular parameters |
CN103340622A (en) * | 2013-07-01 | 2013-10-09 | 上海理工大学 | Atrial fibrillation automatic detection system based on smartphone |
CN104367318A (en) * | 2014-11-07 | 2015-02-25 | 北京海思敏医疗技术有限公司 | Detection method and device for atrial fibrillation |
CN104837401A (en) * | 2012-12-14 | 2015-08-12 | 皇家飞利浦有限公司 | System and method to detect significant arrhythmic events through photoplethysmogram (PPG) and accelerometer |
CN104921714A (en) * | 2015-05-15 | 2015-09-23 | 苏州极致医疗技术有限公司 | Electric physiological data monitoring system based on baseband processor and Android system |
CN105263401A (en) * | 2013-04-04 | 2016-01-20 | 健资国际私人有限公司 | Method and system for detecting heartbeat irregularities |
CN106037702A (en) * | 2015-04-17 | 2016-10-26 | 精工爱普生株式会社 | Biological information processing system, biological information processing device, terminal device, method for generating analysis result information, and biological information processing method |
CN107296604A (en) * | 2017-08-29 | 2017-10-27 | 心云(北京)医疗器械有限公司 | A kind of atrial fibrillation determination methods |
CN107408144A (en) * | 2014-11-14 | 2017-11-28 | Zoll医疗公司 | Medical precursor event estimation |
-
2017
- 2017-12-22 CN CN201711401597.0A patent/CN109953756A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1195277A (en) * | 1996-04-17 | 1998-10-07 | 精工爱普生株式会社 | Arrhythmia detector |
CN201282481Y (en) * | 2007-11-22 | 2009-07-29 | 中国人民解放军第三军医大学野战外科研究所 | Remote health monitoring service device |
CN102834047A (en) * | 2010-01-29 | 2012-12-19 | 爱德华兹生命科学公司 | Elimination of the effects of irregular cardiac cycles in the determination of cardiovascular parameters |
CN102551708A (en) * | 2010-10-14 | 2012-07-11 | 株式会社电装 | Living body state monitor apparatus |
CN104837401A (en) * | 2012-12-14 | 2015-08-12 | 皇家飞利浦有限公司 | System and method to detect significant arrhythmic events through photoplethysmogram (PPG) and accelerometer |
CN105263401A (en) * | 2013-04-04 | 2016-01-20 | 健资国际私人有限公司 | Method and system for detecting heartbeat irregularities |
CN103340622A (en) * | 2013-07-01 | 2013-10-09 | 上海理工大学 | Atrial fibrillation automatic detection system based on smartphone |
CN104367318A (en) * | 2014-11-07 | 2015-02-25 | 北京海思敏医疗技术有限公司 | Detection method and device for atrial fibrillation |
CN107408144A (en) * | 2014-11-14 | 2017-11-28 | Zoll医疗公司 | Medical precursor event estimation |
CN106037702A (en) * | 2015-04-17 | 2016-10-26 | 精工爱普生株式会社 | Biological information processing system, biological information processing device, terminal device, method for generating analysis result information, and biological information processing method |
CN104921714A (en) * | 2015-05-15 | 2015-09-23 | 苏州极致医疗技术有限公司 | Electric physiological data monitoring system based on baseband processor and Android system |
CN107296604A (en) * | 2017-08-29 | 2017-10-27 | 心云(北京)医疗器械有限公司 | A kind of atrial fibrillation determination methods |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110623652A (en) * | 2019-09-17 | 2019-12-31 | 华为技术有限公司 | Data display method and electronic equipment |
WO2022110231A1 (en) * | 2020-11-30 | 2022-06-02 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring system, atrial fibrillation comprehensive management method and monitoring data display method |
CN115137369A (en) * | 2021-03-30 | 2022-10-04 | 华为技术有限公司 | Electronic equipment and system for performing atrial fibrillation early warning based on different atrial fibrillation stages |
WO2022206615A1 (en) * | 2021-03-30 | 2022-10-06 | 华为技术有限公司 | Electronic device for giving atrial fibrillation early warning on basis of different atrial fibrillation stages, and system |
CN115137369B (en) * | 2021-03-30 | 2023-10-20 | 华为技术有限公司 | Electronic equipment and system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mellone et al. | Smartphone-based solutions for fall detection and prevention: the FARSEEING approach | |
RU2709776C2 (en) | Heart rate monitoring system | |
CN103997955B (en) | The method of the atrial fibrillation in detection electrocardiogram | |
US9801553B2 (en) | System, method, and computer program product for the real-time mobile evaluation of physiological stress | |
CN105943021A (en) | Wearable heart rhythm monitoring device and heart rhythm monitoring system | |
CN105796096A (en) | Heart rate variability analysis method, heart rate variability analysis system and terminal | |
GB2525643A (en) | Method and device to monitor infectious patients | |
CN109953756A (en) | Atrial fibrillation monitoring system and wearable device | |
CN104188652B (en) | Electrocardiographic quality of data real-time control method and system thereof | |
EP2845539B1 (en) | Device and method for automatically normalizing the physiological signals of a living being | |
US20180310867A1 (en) | System and method for stress level management | |
CN108511067A (en) | Method for early warning and electronic equipment | |
US9672339B2 (en) | Electro-biometric authentication | |
CN204351815U (en) | A kind of intelligence dresses bracelet | |
CN106599802A (en) | Intelligent corridor monitoring system based on cloud technology | |
JP2019533543A (en) | Method and system for monitoring a user's cardiac activity | |
CN116724361A (en) | Detection of patient health changes based on sleep activity | |
CN107485393B (en) | Electrode falling monitoring method of surface mount type electrocardiograph | |
EP3918997A3 (en) | Methods, systems, and devices for detecting apnea events and sleep | |
US8280679B2 (en) | Activity monitor | |
US10159438B2 (en) | Determining resting heart rate using wearable device | |
TWI581760B (en) | Method for detecting abnormal heartbeat signal and electronic apparatus thereof | |
CN108742557A (en) | A kind of healthy data monitoring system | |
JP2017012249A (en) | Meal time estimation method, meal time estimation program and meal time estimation device | |
CN112120715A (en) | Pressure monitoring and relieving system |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190702 |