Improving the Accuracy of Biosignal Analysis Using BCG by Applying a Signal-to-Noise Ratio and Similarity-Based Channel Selection Algorithm


As the socio-economic environment has changed, the number of single and elderly households has increased, and the demand for maintaining a long and healthy life has been increased by continuously monitoring and managing physical conditions against unexpected accidents that may occur when living alone at home. In response to these demands, it is necessary to develop services that provide personalized healthcare services by recording and analyzing living patterns and biometric information in an unconscious way. In this paper, we propose an accuracy improvement method using similarity and Signal-to-noise ratio analysis for BCG measurement method using piezo sensors and a system for continuous personal health monitoring in home without user awareness. Heart rate and respiration rate were derived using the acquired BCG data, and the biometric information is stored symmetrically for personal information security.

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This work was supported by the Community business revitalization business Program (P0002366, "Development of Modular ICT Healthcare Open Platform for Social and Economic Enterprise Scale-up") funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea)

Author information




Conceptualization: CY and GK; Methodology, CY and GK; Software: JL; Validation: CY and GK; Formal analysis: JL; Investigation: CY and GK; Resources: JL; Data curation: JL and Gk; Writing-original draft preparation: CY and GK; Writing-review and editing: KK; Visualization: GK and JL; Supervision: KK; Project administration: CY and KK.

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Correspondence to Kyungho Kim.

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Yang, C., Ku, G.W., Lee, JG. et al. Improving the Accuracy of Biosignal Analysis Using BCG by Applying a Signal-to-Noise Ratio and Similarity-Based Channel Selection Algorithm. J. Electr. Eng. Technol. 16, 1043–1050 (2021).

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  • Bcg(ballistocardiogram)
  • Heart/respiration rate
  • Channel selection
  • SNR
  • Similarity