Pulse wave signal processing method based on Kings' pulse theory and lung cancer detection system

Abstract

The invention discloses a pulse wave signal processing method based on the Kings' pulse theory and a lung cancer detection system. The pulse wave signal processing method comprises the steps that original pulse wave signals are preprocessed, wherein the original pulse wave signal at the position of the wrist radial artery are collected by using a Kings' pulse theory pulse meter, the collected signal is subjected to processing and data analysis in the time and frequency domains, and then the high-frequency noise parts of the signals are removed by using a Gaussian filter; the pulse wave signals are segmented periodically, wherein the baseline drift of the processed pulse wave signals is removed by using an iterative sliding window algorithm, and the continuous periodic signals are segmented into singly periodic pulse wave signals; the features of the pulse wave signals are extracted, wherein the pulse wave features are extracted from the obtained singly periodic pulse wave signals based on the Kings' pulse theory; the pulse wave signals are classified, wherein a CSVM is taken as a classifier, and the normal or abnormal or invalid pulse wave signals are distinguished based on the extracted pulse wave features. In the pulse wave signal processing method, the ISW algorithm is beneficial to the classification of the CSVM classifier, and the classification accuracy is improved.

Description

Technical field [0001] The present invention relates to the field of biomedical signal processing and data analysis, in particular to a pulse wave signal processing method and lung cancer detection system based on Jin's pulse wave. Background technique [0002] Pulse diagnosis is one of the main detection methods of traditional Chinese medicine. Doctors rely on the fingers to feel the pulse to diagnose the patient's physical condition. It is particularly convenient and does not have any side effects. However, the diagnosis result completely depends on the doctor's long-term practical experience and pulse diagnosis technique. With the advancement of science and technology, modern pulse diagnosis technology uses sensors to collect the patient's pulse wave signal, and then process and analyze the pulse wave signal. [0003] Jin's pulse theory was proposed in 1990 by Mr. Jin Wei, who has more than 30 years of clinical experience. This theory has been confirmed by a large number of cli...

AI Technical Summary

Problems solved by technology

[0009] 1. The existing technology cannot distinguish normal pulse wave signals, abnormal pulse wave signals and invalid signals, that is, the classification accuracy of normal pulse wave signals, abnormal pulse wave signals and invalid signals is not high;

[0010] 2. The existing technology lacks a lung cancer detection system based on pulse wave signal classification results

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