ABSTRACT
According to the collection principles and characteristics of the pulse physiological signals of traditional Chinese medicine, combined with the international standard requirements of the pulse graph force transducer (ISO 19614:2017-05), a special force sensor component that can be used for a complete and objective collection of pulse signals has been developed, this sensor meets the requirements of industrialization. The sensor can measure the pulse amplitude and width signals of the cunpart of the human body. In addition, three sensors can be placed at the cun, guan, chi part at the same time, so that the "three body parts and nine pulse-taking sites" can be realized synchronously. After the sensor has been verified, the results meet the relevant requirements of international standard. The consistency of the result can be reached to 92.3% compared with the diagnosis result of clinical TCM experts.
Subject(s)
Humans , Heart Rate , Medicine, Chinese Traditional , Pulse , TransducersABSTRACT
Objective To study a wavelet method for acquiring the characters of pulse wave based on the principle of wavelet transform which can effectively solve the problem of inaccuracy of the conventional methods. Method The method of wavelet module maximum was used to divide the pulse wave according to periods and basically decomposed it, by arranging in time order and symbolizing the module maximum character points of pulse wave signal at the ascending and descending edges as well as the crest and trough. Result Through the method, the unobvious dicrotism, trail wave and the anomalistic wave appearing at the ascending and descending edge of the main wave, and multi-scale characters and all kinds of characters in time domain of pulse signal were further acquired more accurately. Conclusion Simplicity, quickness and accuracy are achieved by focusing on the character points of pulse signals. It provides a new means for further studies of classification and identification of pulse signals.