Abstract
In this study, we have developed the digital hardware system which performs signal processing necessary for the filtering to eliminate noises by inputting pulse wave signals from the sensor group. With a view to obtain clinically effective information, we analyzed structural elements of pulse waveform and, thus, conducted a systematic classification. What is more, we performed the modeling of the digital filter by using the Steiglitz-McBride iteration method in order to get the same results with output signals coming out of an galvanometer of analog type of existing Pulse diagnosis system with input signals entering into galvanometer and coming out of the amp group of the Pulse diagnosis system.
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