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ECG/PPG Integer Signal Processing for a Ubiquitous Health Monitoring System

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Abstract

A compact ubiquitous-health monitor operated by single 8-bit microcontroller was made. An integer signal processing algorithm for this microcontroller was developed and digital filtering of ECG (electrocardiogram) and PPG (photoplethysmogram) was performed. Rounding-off errors due to integer operation was solved by increasing the number of effective integer digits during CPU operation; digital filter coefficients and data expressed in decimal points were multiplied by a certain number and converted into integers. After filter operation, the actual values were retrieved by dividing with the same number and selecting available highest bits. Our results showed comparable accuracies to those computed by a commercial software. Compared with a floating-point calculation by the same microcontroller, the computation speed became faster by 1.45 ∼ 2.0 times depending on various digital filtering cases. Our algorithm was successfully tested for remote health monitoring with multiple users. If our algorithm were not used, our health monitor should have used additional microcontrollers or DSP chip. The proposed algorithm reduced the size and cost of our health monitor substantially.

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Acknowledgements

This study was supported by a grant of the Korea Healthcare technology R&D Project, Ministry for Health, Welfare and Family Affairs, Republic of Korea. (A060484)

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Authors and Affiliations

  1. Department of Electronics & Information, Seoul National University of Technology, 172 Kongneung-dong Nowon-gu, Seoul, South Korea, 139-743

    Woosik Shin & Gilwon Yoon

  2. Broadcasting & Communications Fusion Program, Graduate School of NID Fusion Technology, Seoul National University of Technology, Seoul, South Korea

    Yong Dae Cha

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  1. Woosik Shin
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  2. Yong Dae Cha
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Correspondence to Gilwon Yoon.

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Shin, W., Cha, Y.D. & Yoon, G. ECG/PPG Integer Signal Processing for a Ubiquitous Health Monitoring System. J Med Syst 34, 891–898 (2010). https://doi.org/10.1007/s10916-009-9304-7

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  • DOI: https://doi.org/10.1007/s10916-009-9304-7

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