| With the development of the medical science and modern engineering technology, the cardiac function occupies an important position at Ventricular function treatment as a new school subject . Cardiac diagnostic technique are mainly related to medical imaging detection methods, such as X ray, CT, MRI and ultrasound of research, while using non-invasive physiological signals, play great value on basic hospital or home community. Detection of multiple physiologic parameters to evaluate the cardiac function method is still of relatively important value, mainly detect through ECG, PCG, CAP, RICG etc. This article is based on the MCG to test the cardiac function of heart, while mainly study the signal detection and analysis of algorithms, by detecting the ECG, PCG and CAP physiological characteristics signals to calculate the STI, according to STI evaluation designed for portable and compact system of cardiac function.Through comparing the advantages and disadvantages of various digital filtering methods it in order to choose the best method of signal processing for the MCG.. At the same time its also broke the traditional classical signal processing method, using wavelet analysis. Wavelet analysis is a time - scale representation and is effective to deal with strong noise with random and medical signal. The paper describes a simple method of wavelet analysis theory and meaning, and the MCG signal wavelet analysiswere carried out in detail. Finally, the algorithm records the actual superiority of the experimental results of algorithm comparison, shows the method of detection accuracy.Part of the system software using a visual development tool of Visual Basic 6.0 on the development with the database designing in Access 2003 and using ADO access to databases. It provide users powerful function interface, not only display the signal but also waveform playback and manual analysis, as well as medical records database management and hospital management and made foundation for the patient search. |
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