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Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals

Khas Ahmadi, A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/EMBC.2015.7319800
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Heart rate monitoring using wrist-type using photoplethysmographic (PPG) signals during subjects' intensive exercises is a challenging problem, since signals are strongly affected by motion artifacts caused by unexpected movements. This paper presents a method that uses both time and frequency characteristics of signals; using sparse signal reconstruction for high-resolution spectrum estimation. Experimental results on type data sets recorded from 12 subjects during fast running at peak speed of 15 km/hour. The results have a performance with the average absolute error being 1.80 beat per minute
  6. Keywords:
  7. Heart rate ; Photoplethysmographic (PPG) ; Regression ; Sparse Signal Reconstruction
  8. Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 25 August 2015 through 29 August 2015 ; Volume 2015-November , 2015 , Pages 6166-6169 ; 1557170X (ISSN) ; 9781424492718 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7319800