Heart physiological parameter measurement system and terminal, and computer storage medium

A cardiac physiological parameter measurement method which is performed by instructions executed by a processor of a terminal which comprises the processor and a memory storing the instructions executable by the processor, comprising steps of:

• respectively acquiring back vibration information and shoulder vibration information of a subject to be measured in a supine state by means of one or more back vibration sensors and shoulder vibration sensors to generate waveforms of back vibration information and shoulder vibration information, respectively, and simultaneously acquiring a synchronous detection electrocardiogram of the subject to be measured;
• wherein, the back vibration sensors are connected with the processor and configured to be placed under the back of the subject;
• the shoulder vibration sensors comprises a left shoulder vibration sensor connected with the processor and configured to be placed under the left shoulder of the subject and a right shoulder vibration sensor connected the processor and configured to be placed under the right shoulder of the subject;
• the shoulder vibration information comprises left and right shoulder vibration information;
• respectively generating first hemodynamic related information waveforms and second hemodynamic related information waveforms by preprocessing the back vibration information and the shoulder vibration information, wherein the preprocessing comprises at least one of:
• filtering, denoising, and signal scaling;
• the second hemodynamic related information waveforms comprise a left shoulder second hemodynamic related information waveform and a right shoulder second hemodynamic related information waveform;
• determining cardiac cycles on the basis of the synchronized detection electrocardiogram;
• extracting high-frequency component from the first hemodynamic related information waveform to obtain a first high-frequency component waveform;
• performing a feature search on the first high-frequency component waveform to determine an M-shaped feature peak group in each cardiac cycle of the first high-frequency component waveform;
• determining a reference Aortic Valve Closure Time (AVCT) of an Aortic Valve Closure (AVC) event on the basis of the M-shaped feature peak group;
• determining an AVC feature point of the AVC event on the basis of the reference AVCT and the right shoulder second hemodynamic related information waveform;
• performing second-order differential processing on the basis of the left shoulder second hemodynamic information waveform to generate a second-order differential graph;
• and
• setting the highest peak in one cardiac cycle of the second-order differential graph as an Aortic Valve Opening (AVO) feature point of the AVO event.