Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering

Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motion artifacts. Adaptive noise cancellation, us...

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Bibliographic Details
Published in:Physiological measurement 2017-02, Vol.38 (2), p.155-170
Main Authors: Fallet, Sibylle, Vesin, Jean-Marc
Format: Article
Language:English
Subjects:
adaptive frequency tracking
adaptive noise reduction
Adult
ambulatory monitoring
Exercise - physiology
Female
Heart Rate
Humans
Male
Middle Aged
motion artifacts
photoplethysmography (PPG)
Photoplethysmography - methods
Signal Processing, Computer-Assisted
Wrist
Young Adult
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Summary:Photoplethysmographic (PPG) signals are easily corrupted by motion artifacts when the subjects perform physical exercise. This paper introduces a two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motion artifacts. Adaptive noise cancellation, using normalized least-mean-square algorithm, is first performed to attenuate motion artifacts and reconstruct multiple PPG waveforms from different combinations of corrupted PPG waveforms and accelerometer data. An adaptive band-pass filter is then used to track the common instantaneous frequency component (i.e. HR) of the reconstructed PPG waveforms. The proposed HR estimation scheme was evaluated on two datasets, composed of records from running subjects and subjects performing different kinds of arm/forearm movements and resulted in average absolute errors of 1.40  ±  0.60 and 4.28  ±  3.16 beats-per-minute for these two datasets, respectively. Importantly, the proposed method is fully automatic, induces an average estimation delay of 0.93 s, and is therefore suitable for real-time monitoring applications.
ISSN:0967-3334
1361-6579
DOI:10.1088/1361-6579/aa506e