Digital Analysis And Processing Of Strong Noise Signal On The Fpga,

Biomedical digital signal processing technology in strong noise environment is a core technology of modern medical diagnosis and treatment equipment. Biomedical signals by the human body as a result of many factors, and therefore do not have the general characteristics of the signal, not only in particular weak, particularly low frequency interference and interference with a particularly strong signal overlapping with the target signal frequency band.We will be according to the actual situation and select the appropriate approach to deal with biomedical signals in strong noise.This dissertation will want to address the problem , hold heart sound signals to the body as the main object of study, analyze the characteristics of heart sound signal and the process of acquisition of heart sound signal with strong noise in the environment. Finally, the best way of the processing of the phonocardiogram signal is to make use of adaptive Kalman filtering method.This dissertation is organized as follows:(1) the characteristics of biomedical signals is presented in detail, citing a variety of filtering approaches and their advantages and disadvantages . The best way of dealing with the heart sound signal which applies the adaptive Kalman filtering method is also presented in this dissertation.(2) detailed information on adaptive Kalman filtering method of the principle, to deal with the characteristics of the use of DSP Builder model, and ultimately to achieve in the FPGA.(3) to verify the correctness of the proposed program, the actual acquisition of heart sound signals is firstly sampled, and then lanched onto the Kalman filter after analog-to-digital conversion. The results are basically consistent with the theoretical derivation.