Research on a personalized physiological status cluster discrimination system based on pulse signal

Xiaoping Jiang; Xiaofei Chen; Chunman Wang; Aolai He; Yuezhong Tang

doi:10.1117/12.2618206

11 November 2021 Research on a personalized physiological status cluster discrimination system based on pulse signal

Xiaoping Jiang, Xiaofei Chen, Chunman Wang, Aolai He, Yuezhong Tang

Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760L (2021) https://doi.org/10.1117/12.2618206
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China

Abstract

At present, the workload of mental workers in society is getting heavier and heavier, and it is necessary to conduct research on their physiological state assessment. Considering that the pulse is easily available and non-invasive, the pulse wave signal is used as the data source. The infrared pulse sensor is used to collect the pulse wave signals of the human body in different states, and the data is preprocessed and feature extraction is performed, and then the feature value weight is calculated by the Relief algorithm to obtain a new weighted pulse sample. The third step is to use k-means algorithm and fuzzy C-means (FCM) algorithm for clustering analysis of the weighted eigenvalue samples, and use the three parameters of error square sum, contour coefficient, and CH coefficient as clustering effect evaluation indicators. Finally, The state of the clustered model is determined according to specific eigenvalues, and the state classification is realized. Thus, a personalized physiological state classification method is proposed, which is to establish different classification algorithm models for different individuals, thereby avoiding Individual differences.

Citation Download Citation

Xiaoping Jiang, Xiaofei Chen, Chunman Wang, Aolai He, and Yuezhong Tang "Research on a personalized physiological status cluster discrimination system based on pulse signal", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760L (11 November 2021); https://doi.org/10.1117/12.2618206

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KEYWORDS

Data centers

Statistical analysis

Sensors

Wavelets

Data modeling

Fuzzy logic

Infrared sensors

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