Portable heart sound automatic sorting assistant diagnostic apparatus

Abstract

The invention discloses a portable heart sound automatic sorting assistant diagnostic apparatus which consists of a front-end heart sound/electrocardio signal acquiring, conditioning and transmitting part and an OMAP3530 core signal processing part. According to the invention, a favorable human-computer interaction interface is provided so that the heart sounds and electrocardio data of human bodies can be acquired conveniently and correctly and be displayed in real time; the storage and playback of the heart sounds and electrocardio data are supported; and through a heart sound subsection algorithm and a heart sound sorting algorithm, 17 types of common heart sound signals can be comprehensively analyzed and the results are correct and effective, so that the diagnosis can be preferably assisted. The ARM (Advanced RISC machine) and DSP (Digital Signal Processor) dual-core processing ability of the OMAP3530 is fully utilized, the DSP is capable of accelerating the heart sound sorting algorithm and the ARM is convenient for expanding peripherals and integrating new applications, so that respective load is effectively balanced; and because of being developed on an embedded platform, the portable heart sound automatic sorting assistant diagnostic apparatus has the advantages of low cost, low power consumption, portability and the like when being compared with the traditional similar equipment operating on PC (Personnel Computer).

Description

technical field [0001] The invention relates to a portable auxiliary diagnostic instrument for automatically classifying heart sounds, which belongs to the technical field of heart sound signal processing. Background technique [0002] In recent years, the incidence of cardiovascular diseases has remained high, and most of the various cardiovascular diseases can be reflected in the abnormal performance of the heart. As one of the important physiological signals of the human body, the heart sound signal contains rich information that can reflect the normal or pathological conditions of the heart. It has high advantages in the field of detecting this type of disease and is an important non-invasive detection technology. Heart sounds auscultation is currently one of the most commonly used and basic methods for diagnosing whether the heart is abnormal. However, heart sound auscultation in the traditional sense has many disadvantages: firstly, it relies on the doctor's experienc...

AI Technical Summary

Problems solved by technology

However, heart sound auscultation in the traditional sense has many disadvantages: firstly, it relies on the doctor's experience to analyze the heart sound signal by hearing, which largely depends on the doctor's subjective judgment and requires the doctor to have rich experience in advance, especially when the external environment is complex. For example, in a messy accident scene, a busy ambulance, etc., it is even more difficult to judge accurately; secondly, the heart sound signal is a low-frequency sound, and the frequency is mainly distributed in 50-600Hz. Although the human hearing range is 20-20000Hz, it is only for 300- The sound of 3000Hz is relatively sensitive, so auscultation has great limitations; in addition, traditional auscultation cannot save a large amount of patient information

However, at present, most of the products on the market use computers to collect, display, and play back heart sounds, and cannot intelligently analyze and classify heart sound signals. Even if there are related similar simulation equipment, because of the complexity of heart sound signals, only a few Classification of heart sound-like signals

Moreover, most of the applications are concentrated on the PC, which has high cost and poor portability.

In the field of research, the current research on the analysis and classification of heart sound signals mainly uses signal processing techniques such as time-frequency domain analysis to analyze and classify common heart sound signals with normal or pathological information, which is still mostly in the theoretical research stage. There is a rare portable instrument in the market that can collect and display human heart sound signals in real time, and can fully and automatically analyze and classify heart sounds to assist doctors in diagnosis.

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