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Smart ECG Monitoring Patch with Built-in R-Peak Detection for Long-Term HRV Analysis

Annals of Biomedical Engineering volume 44, pages 2292–2301 (2016)Cite this article

Abstract

Since heart rate variability (HRV) analysis is widely used to evaluate the physiological status of the human body, devices specifically designed for such applications are needed. To this end, we developed a smart electrocardiography (ECG) patch. The smart patch measures ECG using three electrodes integrated into the patch, filters the measured signals to minimize noise, performs analog-to-digital conversion, and detects R-peaks. The measured raw ECG data and the interval between the detected R-peaks can be recorded to enable long-term HRV analysis. Experiments were performed to evaluate the performance of the built-in R-wave detection, robustness of the device under motion, and applicability to the evaluation of mental stress. The R-peak detection results obtained with the device exhibited a sensitivity of 99.29%, a positive predictive value of 100.00%, and an error of 0.71%. The device also exhibited less motional noise than conventional ECG recording, being stable up to a walking speed of 5 km/h. When applied to mental stress analysis, the device evaluated the variation in HRV parameters in the same way as a normal ECG, with very little difference. This device can help users better understand their state of health and provide physicians with more reliable data for objective diagnosis.

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Acknowledgments

The authors appreciate the efforts of Taewoong Medical Co., Ltd. in developing the proposed smart ECG monitoring patch.

Author information

Affiliations

  1. Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea

    W. K. Lee, H. Yoon & K. S. Park

  2. Department of Biomedical Engineering, College of Medicine, Seoul National University, 717, Basic Science Building, 103, Daehak-ro, Jongno-gu, Seoul, Republic of Korea

    K. S. Park

Authors
  1. W. K. Lee
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  2. H. Yoon
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  3. K. S. Park
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Corresponding author

Correspondence to K. S. Park.

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Associate Editor Tingrui Pan oversaw the review of this article.

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Lee, W.K., Yoon, H. & Park, K.S. Smart ECG Monitoring Patch with Built-in R-Peak Detection for Long-Term HRV Analysis. Ann Biomed Eng 44, 2292–2301 (2016). https://doi.org/10.1007/s10439-015-1502-5

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  • DOI: https://doi.org/10.1007/s10439-015-1502-5

Keywords

  • Ubiquitous healthcare
  • Wearable sensor
  • Physiological measurement
  • Peak detection algorithm
  • Heart rate variability
  • Day-to-day activities
  • Stress assessment