title: Heart rate monitoring from wrist-type PPG based on singular spectrum analysis with motion decision.
abstract: Heart rate (HR) monitoring is necessary for daily healthcare. Wrist-type photoplethsmography (PPG) is a convenient and non-invasive technique for HR monitoring. However, motion artifacts (MA) caused by subjects' movements can extremely interfere the results of HR monitoring. In this paper, we propose a high accuracy method using motion decision, singular spectrum analysis (SSA) and spectral peak searching for daily HR estimation. The proposed approach was evaluated on 8 subjects under a series of different motion states. Compared with electrocardiogram (ECG) recorded simultaneously, the experimental results indicated that the averaged absolute estimation error was 2.33 beats per minute (BPM).
authors.lastname: Yang Wang
authors.lastname: Zhiwen Liu
authors.lastname: Bin Dong
mesh_terms: D016477:Artifacts; D040421:Cell Phone; D004562:Electrocardiography; D004867:Equipment Design; D006339:Heart Rate / Q000502:physiology*; D000070276:Heart Rate Determination / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D009038:Motion; D009068:Movement; D017156:Photoplethysmography / Q000295:instrumentation / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014953:Wrist