Pulse signal subhealth detection method and detection system based on PCANet

A pulse signal and health detection technology, which is applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of poor real-time performance, easy generation of new frequency components, modal aliasing, etc., to achieve convenient operation and reduce pulse signal characteristics Extract effects and detect process-efficient effects

Inactive Publication Date: 2018-09-25
SHAANXI NORMAL UNIV
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Problems solved by technology

Of course, it also has some disadvantages: modal aliasing, poor rea

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  • Pulse signal subhealth detection method and detection system based on PCANet
  • Pulse signal subhealth detection method and detection system based on PCANet
  • Pulse signal subhealth detection method and detection system based on PCANet

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Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0044] see figure 1 , the present invention's pulse signal sub-health detection method based on PCANet comprises the following steps:

[0045] 1. Data collection: The selected research subjects need to be free from physical and mental illnesses, be in good spirits, have a peaceful mind, and be emotionally stable before the experiment, and have a full understanding of the requirements of the experiment. Since the pulse signal is easily disturbed by the external environment during the acquisition process, the experiment was carried out in a quiet and comfortable environment. Before the experiment, let the research subjects fill out the sub-health self-assessment form to preliminarily divide and screen the candidates according to the scores. The selected sub-health self-assessment form is taken from the book "Introduction to Sub-health" published by China Ligh...

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Abstract

The invention relates to a pulse signal subhealth detection method and a detection system based on PCANet. The method comprises the following steps: selecting research objects and initially dividing and screening health conditions of the research objects during detection, and then collecting pulse signal data of the research objects through a pulse sensor; normalizing the collected pulse signal data, wherein the pulse signal data is mapped to a range of [-1, 1], and removing noises and abnormal waveforms in the pulse signal to obtain pure pulse signals; separately extracting health and subhealth pulse signal characteristics on the pre-processed pulse signals by PCANet to reconstruct errors as a loss function, learning a PCA filter nucleus, calculating a sample set by means of a PCA algorithm, and extracting characteristic vectors corresponding to previous L maximum characteristic values of a covariance matrix of the sample seat to form a characteristic mapping matrix; and recognizing health and subhealth states on the extracted characteristic mapping matrix through an SVM classifier and a KNN classifier. The detection process is simple and efficient.

Description

technical field [0001] The invention belongs to the field of computer intelligent vision, and in particular relates to a PCANet-based pulse signal sub-health detection method and detection system. Background technique [0002] Sub-health is an intermediate state between health and disease, mainly manifested in reduced physical function, decreased function and immunity. According to the global survey results of the World Health Organization (WHO), 75% of people are in a sub-health state, 20% are in a disease state, and only 5% are in a healthy state. Sub-health seriously endangers the health of residents. Studies have shown that physiological signals contain a wealth of information closely related to human physiological activities, mental states, and disease diagnosis, and pulse signals are important physiological signals of the human body, which are extremely valuable for the diagnosis of various human diseases. Therefore, The detection of sub-health status can be realized ...

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Application Information

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IPC IPC(8): A61B5/02
CPCA61B5/02A61B5/7203A61B5/7253A61B5/7264
Inventor 艾玲梅薛亚庆任阳红
Owner SHAANXI NORMAL UNIV
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