Periodic monitoring method and device based on premature beat signal in wearable electrocardiosignal

A kind of ECG signal and wearable technology, which is applied in the field of periodic monitoring of premature beat signals, can solve the problems of large baseline drift, difficult load of mobile platform, and less data information, and achieve the effect of improving adaptability and broadening the scope of application

Active Publication Date: 2019-02-01
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, the process of feature extraction is relatively complicated, and the automatic ECG analysis is obviously affected by the result of feature extraction. Generally, more feature sets are needed to achieve better classification results. It will increase the computing complexity of the terminal, the mobile platform is difficult to load, and the monitoring effect cannot be realized effectively; The data information contained

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  • Periodic monitoring method and device based on premature beat signal in wearable electrocardiosignal
  • Periodic monitoring method and device based on premature beat signal in wearable electrocardiosignal
  • Periodic monitoring method and device based on premature beat signal in wearable electrocardiosignal

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Experimental program
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Effect test

Embodiment 1

[0086] Periodic monitoring devices based on premature beats in wearable ECG signals, such as figure 1 As shown, including a wearable ECG signal detection module 1 and a long-term premature beat detection module 2,

[0087] The wearable ECG signal detection module 1 includes a dry electrode unit 110 for signal sensing, a signal detection unit 130 for signal processing, and a communication module unit 150 for real-time communication. On the premise of ensuring comfort, real-time and uninterrupted collection of human ECG data is performed. One end of the signal detection unit 130 is connected to the dry electrode unit 110, and the other end is connected to the communication module unit 150; the signal detection unit 130 is connected to the dry electrode unit. The analog ECG signal detected in 110 is converted into a digital signal, and sent to the long-term premature beat detection module 2 through the communication module unit 150; the communication module unit 150 is wired or w...

Embodiment 2

[0091] The periodic monitoring device based on the premature beat signal in the wearable ECG signal includes a wearable electrocardiographic signal detection module 1 and a long-term premature beat detection module 2, and the long-term premature beat detection module 2 can be implemented in the wearable ECG signal The internal system of the detection module 1 is integrated, for example, configured in the signal detection unit 130; at the same time, the long-term premature beat detection module 2 can also be implemented in an external mobile platform, in a split type, for example, configured In mobile terminals such as mobile phones, such as figure 2 As shown, this embodiment adopts a split type, and the long-term premature beat detection module 2 is configured on the mobile phone.

[0092] The wearable ECG signal detection module 1 can be connected to the long-term premature beat heartbeat detection module 2 in a wired or wireless manner, and has a simple structure, convenien...

Embodiment 3

[0096] The periodic monitoring method based on the premature beat signal in the wearable ECG signal includes the following steps:

[0097] S1, ECG signal reading: the ECG signal is extracted every 5 minutes, and the signals extracted within 5 minutes are divided into multiple 10-second ECG data in a 2-second overlapping manner;

[0098] S2, real-time premature beat detection: in the step, by extracting the characteristic parameters of the heart beat to be measured, the parameters are calculated and compared with the quasi-premature beat heart beat detection, ventricular premature beat detection, supraventricular premature beat and premature beat heart beat verification in turn, so as to realize the detection of ECG signals. Monitoring classification, the steps further include:

[0099] S21, ECG signal preprocessing;

[0100] S22, ECG signal characteristic parameter extraction: extract characteristic parameters of the heart beat to be measured from the ECG signal preprocessed ...

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Abstract

The invention discloses a periodic monitoring method and a device based on premature beat signals in a wearable electrocardiosignal, which consist of a wearable electrocardiosignal detection module and a long-time premature beat heart beat detection module. A reading unit in the long-time premature beat heart beat detection module reads the heart beat to be detected, after the heart beat type is determined by a real-time premature beat detection unit, a primary template generation unit and a secondary template generation unit respectively generate a primary template and a secondary template, and finally the heart beat type is determined through a primary-secondary heart beat detection unit, and on the basis of a normal heart beat, whether the heart beat type is an supraventricular premature beat heart beat or a normal heart beat is judged through an supraventricular premature beat detection unit, so that the long-time comfortable monitoring of ventricular premature beat and supraventricular premature beat under daily activities is achieved. The periodic monitoring method and the device based on premature beat signals in the wearable electrocardiosignal have the advantages of simplealgorithm, convenient operation, and applicability to the requirements of different users.

Description

[0001] Field of study [0002] The invention relates to the technical field of signal detection and medical equipment electronics, in particular to a method and device for periodic monitoring of premature beat signals in wearable electrocardiogram signals. Background technique [0003] Premature contractions, also known as premature contractions or premature beats, are one of the most common multiple cardiac arrhythmias. According to the different mechanisms, it can be divided into two types: ventricular premature beats and supraventricular premature beats, of which the most common and common is ventricular premature beats, followed by supraventricular premature beats. Premature beats can occur in normal people or in patients with structural heart disease, commonly seen in myocarditis, rheumatic heart disease, etc. Correct detection of premature beat signals is the key to improving the accuracy of arrhythmia event detection It has important practical value for improving the d...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7264A61B5/7271A61B5/318
Inventor 刘澄玉蔡志鹏张翔宇李建清
Owner SOUTHEAST UNIV
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