title: Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm.
abstract: 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.
authors.affiliation: Samsung Research America - Dallas , Richardson , TX 75082 , USA.
authors.forename: Po-Hsiang
authors.initials: PH
authors.lastname: Lai
authors.affiliation: Samsung Research America - Dallas , Richardson , TX 75082 , USA.
authors.forename: Insoo
authors.initials: I
authors.lastname: Kim
keywords: accurate heart rate estimation; body sensor networks; heavy exercise; lightweight wrist photoplethysmography; low complexity-highly accurate heart rate estimation; mean absolute error; medical signal processing; motion artefacts; motion robust heart rate monitoring algorithm; patient monitoring; photoplethysmography; smart watch; test data set; watches