Electrocardiogram (ECG) data analysis method suitable for mobile platform

A technology of ECG data and analysis methods, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of high data processing efficiency and poor applicability, and achieve the effect of simple algorithm structure and high processing efficiency

CN104173043AInactive Publication Date: 2014-12-03DONGGUAN UNIV OF TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2014-12-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an electrocardiosignal (ECG) data analysis method suitable for a mobile platform. The electrocardiosignal (ECG) data analysis method includes subjecting collected electrocardiosignal data to original ECG electrocardiosignal median filtering; detecting and positioning an R wave through a self-adaption dual-threshold algorithm; detecting two forward waves before and after the R wave, wherein the two forward waves are a P wave and a T wave; detecting two negative waves on two sides of the R wave, wherein the two negative waves are a Q wave and an S wave; using starting point and terminal point positions of the R wave, the P wave, the T wave, the Q wave, and the S wave to calculate ECG feature values of wave point intervals for arrhythmia diagnosis. According to the ECG data analysis method suitable for the mobile platform, the accuracy for detection of arrhythmia can reach over 92%; since an algorithm structure is concise, processing efficiency is high, only 12s is required for processing one-minute ECG data on a Cortex A8 / Android mobile platform, and the method is suitable for developing a mobile platform based portable admeasuring apparatus.
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Description

technical field

[0001] The invention belongs to the technical field of medical equipment and mobile health monitoring, and in particular relates to an electrocardiographic data analysis method suitable for a mobile platform. Background technique

[0002] The incidence of cardiovascular disease is getting higher and higher, and it has become one of the main diseases that endanger human health. Electrocardiography is an effective method for detecting, diagnosing and preventing such diseases. Traditional electrocardiographs are PC-based monitors, which are expensive and bulky, and can only be operated and used by hospital professionals. Manual analysis of patient ECG characteristic parameters makes it difficult to provide flexible health monitoring services for people outside the hospital environment. With the rapid development of embedded and network communication technology, overcoming the traditional mobile ECG monitor came into being, it has the advantages of low cost, smal...

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Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0023] Such as figure 1 As shown, it is an ECG data analysis method suitable for mobile platforms. This method receives the original ECG ECG signal from the ECG signal collector, and after denoising by median filtering, first uses the adaptive double-threshold algorithm to detect the R wave , and then use R wave positioning, detect P, T wave and Q, S wave, calculate QRS, P, T wave related feature points, finally, use branch logic judgment method to diagnose ECG abnormality, so that users can grasp their ECG in time State of health. Specifically include the following steps:

[0024] Step 10 performs median filtering of the original ECG signal on the collected ECG data

[0025] The first step of ECG data processing is median filtering to filter in...