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A Prototype Wristwatch Device for Monitoring Vital Signs Using Multi-wavelength Photoplethysmography Sensors

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12616))

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Abstract

Photo-plethysmography (PPG) is among hot research topics today for developing wearable devices for human healthcare. In this paper, we introduce a wristband device using multi-wavelength PPG (mW-PPG) that permits us to use it for multi-purpose monitoring. By taking advantage of ultra-low-power analog front end technology, our design is minimized and saves energy. Through the gadget, we investigated three points along the radial artery at the wrist hand namely Cun, Guan, and Chi, and defined Guan point is the best place for collecting PPG with Near-infrared (NIR) wavelength. Also, using state-of-the-art blood pressures (BP) estimation from the reflective pulse time transition (R-PTT) method, we make a demonstration of estimating BP which employed a non-linear regression technique. Moreover, a phenomenon namely the invert-phase effect is discovered from mW-PPG techniques which can open a new research direction to detect illness on this.

This work was supported by an National Research Foundation grant of Korea Government (2019R1A2C1089139).

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Correspondence to Wan-Young Chung .

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Hoang Long, N.M., Kim, JJ., Chung, WY. (2021). A Prototype Wristwatch Device for Monitoring Vital Signs Using Multi-wavelength Photoplethysmography Sensors. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12616. Springer, Cham. https://doi.org/10.1007/978-3-030-68452-5_32

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  • DOI: https://doi.org/10.1007/978-3-030-68452-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68451-8

  • Online ISBN: 978-3-030-68452-5

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