Key result
A proposed low complexity heart rate estimation method using wrist photoplethysmography achieved a 2.57% mean absolute error during heavy exercise.
Why the study?
Does a proposed low complexity heart rate estimation method provide accurate continuous heart rate monitoring using wrist PPG during heavy exercise?
Does a proposed low complexity heart rate estimation method provide accurate continuous heart rate monitoring using wrist PPG during heavy exercise?
A proposed low-complexity algorithm for wrist PPG heart rate monitoring achieved high accuracy (2.57% mean absolute error) during heavy exercise, mitigating motion artefacts.
May support wearable HR monitoring development during exercise; leaves open need for clinical validation before practice adoption.
The challenge of heart rate monitoring based on wrist photoplethysmography (PPG) during heavy exercise is addressed. PPG is susceptible to motion artefacts, which have to be mitigated for accurate heart rate estimation. Motion artefacts are particularly apparent for wrist devices, for example, a smart watch, because of the high mobility of the arms. Proposed is a low complexity highly accurate heart rate estimation method for continuous heart rate monitoring using wrist PPG. The proposed method achieved 2.57% mean absolute error in a test data set where subjects ran for a maximum speed of 17 km/h.
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Lai et al. (2015) studied Heart rate monitoring during heavy exercise. Low complexity heart rate estimation algorithm using wrist PPG was evaluated on Mean absolute error of heart rate estimation. A proposed low complexity heart rate estimation method using wrist photoplethysmography achieved a 2.57% mean absolute error during heavy exercise.
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