Multipoint sphygmus information confluence method based on sphygmus entropy

Abstract

Disclosed is a multipoint sphygmus information confluence method based on sphygmus entropy, which comprises the steps of, picking up human body multiple spot pulse signal through multipath sensing element module, obtaining multipath pulse beat signal through preliminary treatment of magnification, filtration and sampling, employing the concept of sphygmus entropy for sphygmus entropy fusion treatment to S[ij], presenting a uniform rule and selecting output optimized sphygmus waveform data of maximum entropy ratio for data analysis.

Description

technical field [0001] The invention relates to the processing of human pulse signals and belongs to the field of medical signal processing. Background technique [0002] The idea of ​​non-destructive measurement of pulse signal for diagnosis comes from pulse diagnosis in traditional Chinese medicine. Non-destructive pulse measurement of pulse signal strives to quantify the information needed for pulse diagnosis in traditional Chinese medicine, so that there are objective and quantitative standards for disease diagnosis. Its principle is mainly to use the pulse sensor to pick up the pulse of certain parts of the human body, and obtain pulse waveform data after signal conversion 65 and preprocessing, process the data in the time-frequency domain, extract eigenvalues, and calculate the information parameters required for medical diagnosis . The quality of pulse signal measurement directly determines the correctness of subsequent feature value acquisition and analysis and diag...

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Problems solved by technology

[0003] At present, the method of non-destructive measurement of pulse signal is mainly to use a pressure type pulse sensor to pick up the pulse signal at the radial artery. Usually, a pulse signal is picked up by a sensor, and then the signal is processed. This method has the advantages of convenient processing and relatively small amount of data. Small advantage, but due to the characteristics of hardware and human pathological signals, the obtained pulse signal may lose some key characteristic information, which will affect the subsequent analysis and diagnosis; The method of point pulse diagnosis uses three sensors to simultaneously pick up the pulse of the radial artery near Cunguanchi, and then processes the three signals separately to obtain more comprehensive information. This method overcomes the information of the previous method. Insufficient amount, but it doubles the amount of data and processing time, which increases the cost of storing and transmitting data, provides a large amount of information, but also increases the complexity of subsequent processing, which is not convenient for subsequent processing and analysis

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