FPGA-based supraventricular tachycardia detection method and system

Abstract

The invention discloses a method for detecting supraventricular tachycardia based on FPGA, comprising: S1 receiving ECG signals collected by an ECG acquisition device; S2 performing windowing processing on the received ECG signals; S3 performing windowing processing Carry out time-frequency transformation of the ECG signal; S4 calculates the frequency value of the half-power point in the data obtained by time-frequency transformation; S5 compares whether the frequency value is less than the preset threshold value, and when the frequency value is less than the threshold value, enter step S6, otherwise return Steps S1; S6 carry out early warning display. Based on the FPGA, the invention detects the supraventricular tachycardia by performing time-frequency conversion on the received electrocardiogram, analyzing it in the frequency domain, and comparing it with the normal electrocardiogram. It can be detected automatically and quickly, and the application is simple. When used in conjunction with the ECG acquisition device, it can automatically and quickly analyze the ECG data, and give a timely warning in case of a situation.

Description

【Technical field】 [0001] The invention relates to the field of digital signal processing, in particular to an FPGA-based supraventricular rhythm detection method and system. 【Background technique】 [0002] Electrocardiography (ECG) is a diagnostic and therapeutic technique that records the electrophysiological activity of the heart in units of time through the chest cavity, and captures and records it through electrodes on the skin. The advantage of this recording method is that it is non-invasive, but since the ECG is a physiological electrical signal, it is often used as a diagnostic standard. [0003] Mild heart disease patients and tachycardia patients often have short-term sudden abnormal heart rhythms during the non-hospitalization period. If they cannot be sent to the hospital for examination at the time of the onset of the disease, the hospital will not be able to detect the patient's physical symptoms in time. Abnormal conditions, which may lead to delays in treatm...

AI Technical Summary

Problems solved by technology

However, the instrument is expensive, with a market price of 10,000 yuan, and it can only record the patient's ECG for 24 hours, and the doctor uses the software provided by the instrument dealer for in vitro analysis, and the machine itself cannot make an automated analysis.

Although it can truly record the electrocardiogram at the time of the onset, it cannot give an early warning when the onset occurs, so that the patient can go to the hospital as soon as possible.

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