CN114533081B - Paroxysmal atrial fibrillation detection device fused with premature beat inhibition strategy - Google Patents
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Abstract
The invention provides a paroxysmal atrial fibrillation detection device fused with a premature beat inhibition strategy, which comprises: the device comprises a physiological signal acquisition module, a paroxysmal atrial fibrillation detection module and a display output module, wherein the paroxysmal atrial fibrillation detection module is fused with a premature beat inhibition strategy. The physiological signal acquisition module records human physiological signals such as pulse and electrocardiosignals for a long time. The paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy reads the digital signals from the physiological signal acquisition module, extracts the rhythm change characteristics after preprocessing, and performs suspected atrial fibrillation screening based on the threshold value beat by beat. The screened suspected atrial fibrillation rhythms are subjected to single-shot, frequent and cascade premature beat inhibition in sequence, and then paroxysmal atrial fibrillation statistics are carried out regularly, so that real-time and accurate early warning of the atrial fibrillation rhythms and long-range analysis of the paroxysmal atrial fibrillation are realized. And finally, displaying, storing and transmitting the result through a display output module. The invention can inhibit the premature beat interference in the detection of the paroxysmal atrial fibrillation, realize the heart beat level positioning of the paroxysmal atrial fibrillation starting point, and has simple algorithm and portability.
Description
Technical Field
The invention relates to a paroxysmal atrial fibrillation detection device fused with a premature beat inhibition strategy, belonging to the technical field of signal detection and medical electronics.
Background
Atrial fibrillation is the most common arrhythmia in clinical practice. Atrial fibrillation causes the atria to lose contractile function, blood stagnates in the atria to form thrombus, and after thrombus removal, blood can flow to the whole body, so that cerebral embolism (cerebral apoplexy), arterial embolism of limbs (even amputation is needed for serious patients) and the like are caused. Atrial fibrillation can be classified into paroxysmal atrial fibrillation, persistent atrial fibrillation and permanent atrial fibrillation according to duration. Paroxysmal atrial fibrillation is generally considered to mean a person who can spontaneously revert to sinus rhythm within 7 days, typically for less than 48 hours; sustained atrial fibrillation refers to those who last for more than 7 days and require a drug or electric shock to return to sinus rhythm; permanent atrial fibrillation refers to those who cannot return to sinus rhythm or relapse within 24 hours after the return.
Paroxysmal atrial fibrillation is at risk of causing stroke and thromboembolism, and the incidence is high, and complications caused by it can be life threatening. However, due to the characteristics of the system, the system is not easy to detect, and the patient needs to be subjected to multiple long-term electrocardiographic examinations, so that a good control effect can be achieved through early analysis and intervention. The occurrence of paroxysmal atrial fibrillation can not be detected in the first 48 hours of dynamic electrocardiogram monitoring, the traditional detection method of hospitals is long-term electrocardiogram monitoring, the operation is difficult, the comfort is poor and the price is high, and the wearable physiological signal monitoring system not only saves the cost of equipment and improves the comfort, but also can realize local real-time analysis and remote information communication, and has become the main trend of mobile medical products. However, mobile platforms have limited computational power, and the analysis algorithms run on the platform should not be overly complex in time and space. The existing atrial fibrillation detection algorithm is mostly based on machine learning methods such as neural networks, and the algorithm is complex and is mostly only suitable for detecting permanent atrial fibrillation. Paroxysmal atrial fibrillation patients are typically accompanied by severe premature beats, and frequent premature beats are typically present when atrial fibrillation does not occur. Most of the traditional developed atrial fibrillation diagnosis algorithms are not provided with reasonable premature beat screening algorithms, so that the algorithms can incorrectly judge the premature beat rhythm as atrial fibrillation rhythm, and the atrial fibrillation attack duration of paroxysmal atrial fibrillation patients is incorrectly estimated due to the design defect of the algorithms. Therefore, the method and the device for detecting the paroxysmal atrial fibrillation by fusing the premature beat inhibition strategy are provided for research, proper physiological signals are selected for monitoring according to conditions, the real-time performance and the comfortableness of the detection are ensured, the interference of the premature beat signals in the long-time monitoring can be effectively inhibited, the accuracy of the paroxysmal atrial fibrillation detection is ensured, the atrial fibrillation load and the cardiac load of a paroxysmal atrial fibrillation patient are correctly evaluated, a doctor is assisted in reasonably designing a treatment scheme, and the method and the device have important significance for the treatment and the rehabilitation of the paroxysmal atrial fibrillation patient.
Disclosure of Invention
Technical problems:
the invention aims to solve the problem that the paroxysmal atrial fibrillation is difficult to detect in long-range physiological signal monitoring, and is expected to achieve the aims of inhibiting premature beat interference, cardiac beat level positioning of the paroxysmal atrial fibrillation starting point, real-time accurate early warning of atrial fibrillation rhythm and long-range analysis of paroxysmal atrial fibrillation in paroxysmal atrial fibrillation detection by a simple algorithm.
The technical scheme is as follows:
the invention provides a paroxysmal atrial fibrillation detection device fused with a premature beat inhibition strategy, which can screen single premature beat, frequent premature beat and united rhythm premature beat in long-range physiological signal monitoring, realize real-time and accurate atrial fibrillation monitoring, obtain long-range analysis results of paroxysmal atrial fibrillation through timing statistics, effectively prevent dangers brought by sudden cardiovascular diseases, accurately evaluate atrial fibrillation load and cardiac burden of paroxysmal atrial fibrillation patients, and assist doctors in reasonably designing treatment schemes.
The invention adopts the following technical scheme:
an paroxysmal atrial fibrillation detection device fused with a premature beat inhibition strategy adopts an embedded system structural design, comprising: the device comprises a physiological signal acquisition module, a paroxysmal atrial fibrillation detection module and a display output module, wherein the paroxysmal atrial fibrillation detection module is fused with a premature beat inhibition strategy. The physiological signal acquisition module comprises a sensor unit for signal sensing and a signal detection unit for signal processing; the paroxysmal atrial fibrillation detection module fusing the premature beat inhibition strategy comprises a physiological signal reading unit for reading signals, a signal preprocessing unit for denoising processing and feature point detection, a feature extraction unit for extracting physiological signal features, a beat-by-beat atrial fibrillation screening unit for primarily screening atrial fibrillation, a premature beat signal inhibition unit for single premature beat inhibition, frequent premature beat inhibition and birhythm premature beat inhibition, and a paroxysmal atrial fibrillation statistics unit for long-range analysis; the display output module comprises a display interface unit for displaying detection results, a local storage unit for storing data and a data communication unit for data transmission.
As a further development of the invention, the physiological signals comprise pulse signals, electrocardiographic signals or other physiological signals which can extract rhythm characteristics, and the corresponding sensor units can be selected for acquisition according to the implementation conditions.
As a further improvement of the invention, the signal detection unit of the physiological signal acquisition module adopts a signal conditioning circuit and an MCU to detect signals, including signal amplification, shaping, analog-to-digital conversion and the like, so as to realize the real-time acquisition of physiological signals, and then the digital signals are input into the paroxysmal atrial fibrillation detection module fusing the premature beat inhibition strategy. .
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy is embedded in an MCU internal system of the physiological signal acquisition module, and the detection algorithm can also be implemented in an external mobile platform and other wearable physiological signal acquisition equipment, and realizes real-time and light-weighted atrial fibrillation rhythm monitoring and early warning functions based on the wearable physiological signal through wired or wireless transmission.
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy can monitor atrial fibrillation rhythms in real time only by processing single-channel physiological signals, and in dynamic measurement, no redundant error is introduced, and the device is simple and portable and has high detection efficiency.
As a further improvement of the invention, the signal reading unit of the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy reads a signal segment formed by continuous n times of pulse signals acquired by the physiological signal acquisition module; the signal preprocessing unit only needs to simply preprocess the signal, including denoising and feature point detection; the characteristic extraction unit extracts the rhythm information such as the pulse interval of the physiological signal, and the like, and does not relate to complex signal processing and waveform characteristic extraction, and the method is simple and quick.
As a further improvement of the present invention, the paroxysmal atrial fibrillation detection module fused with the premature beat suppression strategy defines the ratio of the standard deviation of the interval of n continuous signal beats around each beat of the physiological signal to the average value thereof as the rhythm variation characteristic of the beat physiological signal.
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy can screen suspected atrial fibrillation rhythms according to the rhythmic variation characteristics expressed by each beat of physiological signals, wherein the rhythmic variation characteristics are non-atrial fibrillation beats with less than a threshold value, and are suspected atrial fibrillation beats with greater than the threshold value.
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy eliminates the influence of non-atrial fibrillation signals such as premature beat in suspected atrial fibrillation beats through the premature beat signal inhibition unit, can position the paroxysmal atrial fibrillation starting point according to the cardiac beat, realizes the cardiac beat level positioning of the paroxysmal atrial fibrillation starting point, and improves the accuracy of paroxysmal atrial fibrillation judgment.
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy comprises a premature beat inhibition link, a frequent premature beat inhibition link and a bizziness premature beat inhibition link; the single-shot premature beat inhibition link judges according to whether the continuous number of suspected atrial fibrillation beats is smaller than a threshold value m: setting m as an integer greater than n, selecting according to specific precision requirements, judging that the atrial fibrillation suspicion is deleted when the continuous number of the suspected atrial fibrillation beats is less than m; when the duration of the suspected atrial fibrillation pulse is longer than m pulses, a suspected atrial fibrillation section is formed, and whether the rhythm change characteristic of the suspected atrial fibrillation pulse is atrial fibrillation rhythm is further judged through the frequent premature beat inhibition link; and the frequent premature beat inhibition link selects a beat interval close to the median value to carry out rhythm screening again, and if the change characteristics of the rhythms are smaller than the threshold value, the frequent premature beat is judged, and the suspicion of atrial fibrillation is deleted. And the rest suspected atrial fibrillation sections re-select a larger pulse interval to carry out rhythm screening again through the cascade premature beat inhibition link, if the change characteristics of the rhythms are smaller than the threshold value, the suspected atrial fibrillation sections are judged to be cascade premature beats, and if the change characteristics of the rhythms are still larger than the threshold value, the suspected atrial fibrillation sections are determined to be atrial fibrillation rhythms.
As a further improvement of the invention, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy has the advantages that the paroxysmal atrial fibrillation statistics unit periodically carries out statistics on the real-time detected atrial fibrillation results, the paroxysmal atrial fibrillation condition is analyzed, and a long-range analysis report is generated.
As a further improvement of the invention, the display interface unit of the display output module displays and alarms the real-time physiological signal waveform and the atrial fibrillation detection result through a screen, so that a patient can know the heart condition in real time and seek medical attention in time; meanwhile, a long-range analysis report of paroxysmal atrial fibrillation is displayed, so that the illness state of a patient can be analyzed conveniently; the local storage unit is used for storing the acquired physiological signals and atrial fibrillation detection results locally, so that long-term recording and later inquiry are facilitated, data support is provided for later evaluation of heart burden change of a patient, and references are provided for doctors to reasonably design treatment schemes; the data communication unit is communicated with external equipment in a wired or wireless mode and sends the acquired physiological signals and atrial fibrillation detection results to other terminals.
As a further improvement of the invention, the method can be used for detecting paroxysmal atrial fibrillation in long-term physiological signal monitoring, can effectively inhibit premature beat interference, and can output an atrial fibrillation detection result after screening so as to ensure the detection accuracy; the method is convenient and quick, does not use a machine learning algorithm, can be implanted into wearable equipment with low computing capacity for real-time analysis, and can be applied to mobile medical treatment.
The beneficial effects are that:
1. the adopted paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy has universality and portability, does not limit the type of physiological signals, and can be used for extracting the physiological signals of rhythm information such as pulse, electrocardio and the like;
2. the adopted paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy can monitor the atrial fibrillation rhythm in real time only by processing a single channel physiological signal, and in the dynamic measurement, no redundant error is introduced, so that the device is simple and portable, and the detection efficiency is high;
3. the adopted paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy only needs to perform simple pretreatment on the signals, remove noise, detect the positions of the characteristic points, only needs to extract the rhythm characteristics of the signals, does not relate to the morphological characteristics of waveforms, has simple calculation, has good processing effect on dynamic data with large baseline drift, and has high detection accuracy;
4. the paroxysmal atrial fibrillation detection module with the fused premature beat inhibition strategy can screen the signals of single premature beat, frequent premature beat and birhythm premature beat, effectively inhibit the interference of the premature beat signals on atrial fibrillation detection in long-range monitoring, and has high detection accuracy.
5. The adopted paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy can position the paroxysmal atrial fibrillation starting and stopping point according to the cardiac beat, realize the cardiac beat level positioning of the paroxysmal atrial fibrillation starting and stopping point and improve the atrial fibrillation judgment accuracy;
6. compared with the prior art, the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy is simpler, faster and more accurate, does not have a complex machine learning algorithm, and can be quickly transplanted into different mobile terminals for relevant application of mobile medical treatment.
Drawings
Fig. 1 is a diagram of an embodiment of the present invention for electrocardiographic signals.
Fig. 2 is a diagram of an example of a wearable pulse acquisition device for analyzing pulse signals according to the present invention.
Fig. 3 is a schematic diagram of a pulse signal structure according to the present invention.
Fig. 4 is a schematic flow chart of the beat-to-beat atrial fibrillation screening unit according to the present invention.
Fig. 5 is a flow chart of the premature beat suppressing unit according to the present invention.
Fig. 6 is a schematic flow chart of a single premature beat suppression procedure according to the present invention.
Fig. 7 is a flow chart of the intermediate frequency premature beat suppression procedure of the present invention.
Fig. 8 is a schematic flow chart of the bizzia premature beat suppression link in the invention.
Detailed Description
The present invention is further illustrated in the following drawings and detailed description, which are to be understood as being merely illustrative of the invention and not limiting the scope of the invention.
Example 1
Fig. 1 shows an embodiment of a method for detecting paroxysmal atrial fibrillation and an electrocardiograph monitoring device, which are fused with a premature beat suppression strategy, including: an electrocardiosignal acquisition module 1, an paroxysmal atrial fibrillation detection module 2 fused with a premature beat inhibition strategy and a display output module 3. The electrocardiosignal acquisition module 1 can be connected with the paroxysmal atrial fibrillation detection module 2 fused with the premature beat inhibition strategy in a wired or wireless mode. The electrocardiosignal acquisition module 1 comprises a dry electrode unit 11 and a signal detection unit 12; one end of the acquisition unit 12 is connected with the dry electrode unit 11, and the other end of the acquisition unit is connected with the paroxysmal atrial fibrillation detection module 2 fused with the premature beat inhibition strategy;
the paroxysmal atrial fibrillation detection module 2 fused with the premature beat inhibition strategy is built in a mobile device or a PC and comprises an electrocardiosignal reading unit 21, a signal preprocessing unit 22, a characteristic extraction unit 23, a beat-by-beat atrial fibrillation screening unit 24, a premature beat inhibition unit 25 and a paroxysmal atrial fibrillation statistics unit 26; the electrocardiosignal reading unit 21, the signal preprocessing unit 22, the characteristic extraction unit 23, the beat-by-beat atrial fibrillation screening unit 24 and the premature beat suppression unit 25 are sequentially connected, one output end of the premature beat suppression unit 25 is connected with the paroxysmal atrial fibrillation statistics unit 26, and the other output end of the premature beat suppression unit is connected with the display output module 3;
the display output module 3 comprises a display interface unit 31, a local storage unit 32 and a data communication unit 33, which are all provided by mobile equipment;
the paroxysmal atrial fibrillation detection method and the electrocardiosignal monitoring device fused with the premature beat inhibition strategy can be used for real-time atrial fibrillation monitoring, can be implemented in mobile equipment such as a mobile phone, a tablet and the like, can also be implemented in a doctor computer end, for example, fig. 1, shows the long-range analysis data of the paroxysmal atrial fibrillation, assists a doctor in correctly evaluating the atrial fibrillation load and the heart burden of a paroxysmal atrial fibrillation patient, and reasonably designs a treatment scheme;
the electrocardiosignal reading unit 21 is used for reading any 6 continuous electrocardiosignals to form an electrocardiosignal segment, and the extracted electrocardiosignals are preprocessed by the electrocardiosignal preprocessing unit 22 to obtain preprocessed signals. The electrocardiosignal feature extraction unit 23 is used for extracting feature parameters such as R wave positions of heart beats to be detected, RR intervals, RR interval mean values, standard deviation, rhythm change features and the like from the preprocessed signals. The beat-by-beat atrial fibrillation screening unit 24 determines suspected atrial fibrillation beats by judging the rhythm change characteristics; the premature beat suppressing unit 25 determines whether or not the premature beat is a single premature beat, a frequent premature beat, or a bizzive premature beat based on the suspected atrial flutter beat; the single-shot premature beat inhibition link determines whether the suspected atrial fibrillation suspicion is maintained or deleted by judging whether the duration of the suspected atrial fibrillation heart beat exceeds 10 beats; the frequent premature beat inhibition link is characterized in that a suspected atrial fibrillation heart beat with an RR interval close to a median (+ -30%) is selected in a suspected atrial fibrillation section to carry out rhythm screening to judge that the suspected atrial fibrillation is maintained or deleted; the bivalve premature beat inhibition link is characterized in that a suspected atrial fibrillation heart beat with an RR interval greater than 150% of a median value is selected from the rest suspected atrial fibrillation sections to carry out rhythm screening to judge that the atrial fibrillation suspicion is maintained or deleted; the paroxysmal atrial fibrillation statistics unit 26 counts the atrial fibrillation detection result every 30 minutes, and performs paroxysmal atrial fibrillation analysis;
the display interface unit 31 displays the electrocardiographic waveform and the atrial fibrillation detection result through a screen; the local storage unit 33 stores the collected electrocardiosignals and atrial fibrillation detection results locally, so that long-term recording and later inquiry are facilitated; the data communication unit 33 may export real-time measurement data or locally stored data to other terminals.
Example 2
Fig. 2 shows an embodiment of a method for detecting paroxysmal atrial fibrillation with a fused premature beat suppression strategy and a wearable pulse signal acquisition device, including: the device comprises a pulse signal acquisition module 1, a paroxysmal atrial fibrillation detection module 2 and a display output module 3, wherein the paroxysmal atrial fibrillation detection module is fused with a premature beat inhibition strategy. The pulse signal acquisition module 1 acquires pulse signals through the photoelectric sensor unit 11, has small noise, simple structure and stable performance, improves the comfort of the device and ensures the detection accuracy; and signal conditioning and analog-to-digital conversion are performed by the signal detection unit 12, the paroxysmal atrial fibrillation detection module 2 fused with the premature beat inhibition strategy is embedded in the pulse signal acquisition module 1, the pulse signal reading unit 21 reads the current pulse signal and the first 5 pulse signals in real time to form 6 pulse signal segments, and the extracted pulse signals are preprocessed by the pulse signal preprocessing unit 22 to obtain preprocessed signals. The pulse signal feature extraction unit 23 is configured to extract feature parameters such as peak position, peak-to-peak interval mean value, standard deviation, and the like of the pulse wave to be measured from the preprocessed signal. Defining the ratio P of the standard deviation of the peak intervals of n successive pulse peaks to the average value thereof ci Describing the rhythm variation characteristics of the ith pulse wave:
a+b+1＝n
in this example, to ensure real-time detection, a=5 and b=0 are selected; the beat-by-beat atrial fibrillation screening unit 24 determines a suspected atrial fibrillation beat by judging a rhythm variation characteristic; the premature beat suppressing unit 25 determines whether or not the premature beat is a single premature beat, a frequent premature beat, or a bizzive premature beat on the basis of the suspected atrial fibrillation beat; the single-shot premature beat inhibition link determines whether the suspected atrial fibrillation suspicion is maintained or deleted by judging whether the suspected atrial fibrillation pulse duration exceeds 10; the frequent premature beat inhibition link is used for judging that the suspected atrial fibrillation suspicion is maintained or deleted by selecting suspected atrial fibrillation beats with peak-to-peak intervals close to a median (+ -30%) in the suspected atrial fibrillation section and carrying out rhythm screening; the bivalve premature beat inhibition link is used for judging that the suspected atrial fibrillation suspicion is maintained or deleted by selecting suspected atrial fibrillation beats with peak-to-peak intervals being more than 150% of median values from the rest suspected atrial fibrillation sections to carry out rhythm screening;
as shown in fig. 3, the beat-to-beat atrial fibrillation screening unit 24 determines whether the pulse waveform to be measured is a suspected atrial fibrillation beat according to whether the variation characteristic of the pulse waveform to be measured is greater than a threshold value.
Specifically, fig. 3 includes the steps of:
step 23, extracting the peak-to-peak interval of the pulse wave to be detected and the peak-to-peak interval of the forward 5 pulse wave in the last connecting link;
step 241, according to the formulaCalculating the rhythm change characteristics of the pulse wave to be measured;
step 242, judging whether the rhythm variation characteristic of the pulse wave to be measured is higher than a threshold value, if yes, outputting the current pulse wave to be measured as a suspected atrial fibrillation pulse, and if no, outputting the current pulse wave to be measured as a normal pulse wave.
As shown in fig. 4, the premature beat suppressing unit 25 includes a single premature beat suppressing section, a frequent premature beat suppressing section, and a bizzive premature beat suppressing section.
Step 251, as shown in fig. 5, calculating a suspected atrial fibrillation pulse duration, and judging whether the suspected atrial fibrillation pulse duration is greater than 10 pulse waves; if yes, go to step 252, if not, judge as single premature beat, delete the suspected pulse wave atrial fibrillation suspicion.
Step 252, determining whether the current suspected atrial fibrillation segment is a frequent premature beat rhythm.
Specifically, as shown in fig. 6, the steps are as follows:
step 252-1, reselecting the suspected atrial fibrillation pulse with the peak interval of the suspected atrial fibrillation Duan Zhongfeng approaching the median value (70% -130%);
252-2, calculating the rhythm change characteristics of the screened pulse waves again;
step 252-3, judging whether the variation characteristic of the suspected segment rhythm is still greater than a threshold value, if yes, entering step 253, if not, judging that premature beat occurs frequently, and deleting the suspected segment atrial fibrillation suspicion.
Step 253, judging whether the current suspected atrial fibrillation segment is a bivariate premature beat rhythm.
Specifically, as shown in fig. 7, the steps are as follows:
step 253-1, reselecting suspected atrial fibrillation beats with the suspected atrial fibrillation Duan Zhongfeng peak intervals greater than 150% median;
253-2, calculating the rhythm change characteristics again for the screened pulse waves;
and 253-3, judging whether the rhythm change characteristic of the suspected segment is still greater than a threshold value, if so, confirming that the suspected segment is atrial fibrillation, if not, judging that the suspected segment is in a bivalve premature beat, and judging that the suspected segment is not in atrial fibrillation.
The paroxysmal atrial fibrillation statistics unit 26 counts the atrial fibrillation detection result every 30 minutes, and performs paroxysmal atrial fibrillation analysis.
Real-time atrial fibrillation monitoring results and long-range analysis reports are sent to an alarm in real time on a screen through a display interface unit 31 of the data transmission module 3, so that a patient can find symptoms in time; the monitoring data is stored locally via the local storage unit 32, facilitating long-term recording and later querying.
The technical means disclosed by the scheme of the invention is not limited to the technical means disclosed by the embodiment, and also comprises the technical scheme formed by any combination of the technical features. It should be noted that modifications and adaptations to the invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (5)
1. A paroxysmal atrial fibrillation detection device incorporating a premature beat suppression strategy, comprising: the system comprises a physiological signal acquisition module, a paroxysmal atrial fibrillation detection module and a display output module, wherein the paroxysmal atrial fibrillation detection module is fused with a premature beat inhibition strategy, can be implemented in an internal system of the physiological signal acquisition module and also can be implemented in an external mobile platform, and realizes real-time atrial fibrillation rhythm detection and early warning through wired or wireless transmission;
the paroxysmal atrial fibrillation detection module with the fusion of the premature beat inhibition strategy comprises a signal reading unit, a signal preprocessing unit, a characteristic extraction unit, a beat-by-beat atrial fibrillation screening unit, a premature beat inhibition unit and a paroxysmal atrial fibrillation statistics unit;
the signal reading unit reads a signal segment formed by continuous n times of pulse signals acquired by the physiological signal acquisition module;
the signal preprocessing unit is used for preprocessing the read signal segment, including denoising and feature point detection, so as to obtain a preprocessed signal;
the characteristic extraction unit is used for extracting beat interval rhythm characteristic parameters from the preprocessed signals;
the beat-by-beat atrial fibrillation screening unit determines whether the beat is suspected atrial fibrillation beat or not according to whether the current rhythm change characteristics meet a first judgment condition or not;
the premature beat inhibition unit comprises a single premature beat inhibition link, a frequent premature beat inhibition link and a bizzive premature beat inhibition link;
the paroxysmal atrial fibrillation statistics unit is used for periodically counting the atrial fibrillation results detected in real time and analyzing the paroxysmal atrial fibrillation condition;
the rhythm variation feature refers to a ratio of a standard deviation of consecutive n beat intervals read by the signal reading unit to an average value thereof; the first judgment condition includes: judging whether the rhythm variation characteristic is larger than a threshold value, if so, determining that the pulse to be detected is a suspected atrial fibrillation pulse, and if not, determining that the pulse to be detected is a non-atrial fibrillation pulse;
the single-shot premature beat inhibition link determines whether the single-shot premature beat rhythm according to whether the continuous number of the suspected atrial fibrillation beats meets a second judgment condition; the second judgment condition includes: judging whether the duration number of the suspected atrial fibrillation beats is smaller than a threshold value m or not; if yes, further judging whether the rhythm change characteristics of the suspected atrial fibrillation pulse meet a third judging condition, determining whether the suspected atrial fibrillation pulse is atrial fibrillation, if not, judging that the suspected atrial fibrillation pulse is single-shot premature beat, and deleting the suspected atrial fibrillation pulse; the threshold m is larger than the number n of the pulse intervals used for calculating the rhythm change characteristics, and is selected according to specific precision requirements; the suspected atrial fibrillation pulse with the duration longer than m forms a suspected atrial fibrillation section; the frequent premature beat inhibition link judges whether the suspected atrial fibrillation section meets a third judgment condition and determines whether the suspected atrial fibrillation section is frequent premature beat; the third judgment condition includes: re-selecting a suspected atrial fibrillation pulse with a pulse interval close to a median value in the suspected atrial fibrillation section, performing rhythm screening again, judging whether the suspected atrial fibrillation section still has a rhythm change characteristic larger than a threshold value at the moment, if so, further judging whether the rhythm change characteristic of the suspected atrial fibrillation section meets a fourth judgment condition, if not, judging that premature beat occurs frequently, and deleting the atrial fibrillation suspicion; the bivalrate premature beat inhibition link determines whether the bivalrate premature beat is generated according to whether the suspected atrial fibrillation segment meets a fourth judgment condition; the fourth judgment condition includes: re-selecting suspected atrial fibrillation beats with larger beat intervals in the rest suspected atrial fibrillation sections, and performing rhythm screening again; judging whether the rhythm change characteristics of the suspected atrial fibrillation section are larger than a threshold value at the moment, if yes, determining the suspected atrial fibrillation section as an atrial fibrillation section, if no, judging that the suspected atrial fibrillation section is a bivalve premature beat, and determining the suspected atrial fibrillation section as a non-atrial fibrillation section.
2. The paroxysmal atrial fibrillation detection device with fusion of the premature beat inhibition strategy according to claim 1, wherein the physiological signal acquisition module comprises a sensor unit and a signal detection unit.
3. A paroxysmal atrial fibrillation detection device as defined in claim 2, wherein the premature beat inhibition policy is integrated with the device,
the sensor unit can select sensors for measuring different physiological signals according to implementation conditions, and the sensors comprise pulse signals and electrocardiosignals;
the signal detection unit is used for carrying out signal conditioning on the physiological signals detected by the sensor unit, including amplification and shaping, converting the conditioned analog signals into digital signals, and inputting the digital signals into the paroxysmal atrial fibrillation detection module fused with the premature beat inhibition strategy.
4. The paroxysmal atrial fibrillation detection device with the fusion of the premature beat inhibition strategy according to claim 1, wherein the display output module comprises a display interface unit, a local storage unit and a data communication unit.
5. The paroxysmal atrial fibrillation detection device with fusion of the premature beat inhibition strategy according to claim 4,
the display interface unit displays and alarms the real-time physiological signal waveform and the atrial fibrillation detection result through a screen, so that a patient can know the heart condition in real time and seek medical care in time; meanwhile, a long-range analysis report of paroxysmal atrial fibrillation is displayed, so that the illness state of a patient can be analyzed conveniently;
the local storage unit is used for storing the acquired physiological signals and atrial fibrillation detection results locally, so that long-term recording and later inquiry are facilitated, data support is provided for later evaluation of heart burden change of a patient, and references are provided for doctors to reasonably design treatment schemes;
the data communication unit is communicated with the external equipment in a wired or wireless mode and sends the acquired physiological signals and the atrial fibrillation detection result to the external equipment.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1843293A (en) * | 2006-03-21 | 2006-10-11 | 李方洁 | Long route cardiogram data analysis method |
| CN109288515A (en) * | 2018-11-14 | 2019-02-01 | 东南大学 | Periodical monitoring method and device based on premature beat signal in wearable ECG signal |
| CN109953752A (en) * | 2019-03-05 | 2019-07-02 | 上海朗朗信息科技有限公司 | HRV analysis method, device, equipment and storage medium under arrhythmia conditions |
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| CN1843293A (en) * | 2006-03-21 | 2006-10-11 | 李方洁 | Long route cardiogram data analysis method |
| CN109288515A (en) * | 2018-11-14 | 2019-02-01 | 东南大学 | Periodical monitoring method and device based on premature beat signal in wearable ECG signal |
| CN109953752A (en) * | 2019-03-05 | 2019-07-02 | 上海朗朗信息科技有限公司 | HRV analysis method, device, equipment and storage medium under arrhythmia conditions |
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| 窦房结功能分离和阵发性房颤心电散点图分析鉴别;陈丽萍 等;医学理论与实践;第34卷(第2期);359-360 * |
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