Heart sound acquisition and analysis system and method based on cloud framework

Abstract

The invention provides a heart sound acquisition and analysis system and method based on a cloud framework. The system comprises a heart sound signal acquisition device, a wireless transmission module, an embedded terminal, a cloud platform and a heart sound analysis module. According to the heart sound acquisition and analysis system and the heart sound acquisition and analysis method, heart sound signals are acquired, subjected to analog-to-digital conversion, filtering, noise reduction and amplification processing and then transmitted to the embedded terminal in a wireless manner; the embedded terminal preliminarily classifies normal heart sound signals and abnormal heart sound signals through an algorithm, eliminates normal heart sound data, and uploads detected abnormal heart sound data to a cloud platform through the wireless transmission module for further analysis and diagnosis; the cloud platform acquires, displays, stores, analyzes and diagnoses the abnormal heart sound signals, and finally obtains a diagnosis result. By adopting the system and the method, environmental noise at the front end can be well restrained, the heart sound signals are intelligently analyzed and diagnosed on the cloud platform after the abnormal heart sound is extracted, and doctors and other professional medical workers are allowed to check the abnormal heart sound and give relevant diagnosisinformation.

Description

technical field [0001] The invention belongs to the technical field of heart intelligent diagnosis, and relates to heart sound collection and analysis technology, in particular to a heart sound collection and analysis system based on cloud architecture and a method for realizing the system. Background technique [0002] Heart sounds are generated by the mechanical movement of the heart. When the heart receives electrical signal conduction, the atrium and ventricle mechanically contract, push blood, and form the opening and closing of the heart valve, and this entire mechanical movement process plus the sudden start and end of blood flow causes the vibration of the heart structure, vibration conduction To the chest cavity, it can be detected by a stethoscope (piezoelectric sensor) on the chest and acquired in the form of heart sounds. The key to detecting cardiovascular disease from heart sounds is to detect and identify murmurs in heart sounds. A basic heart sound cycle ge...

AI Technical Summary

Problems solved by technology

The heart sound classification algorithm currently uses deep learning combined with traditional feature extraction as the mainstream, but there is currently no heart sound database suitable for evaluating the pathological detection accuracy of the algorithm as a basis for evaluation except for normal / abnormal

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