Heart rate monitoring from wrist-type PPG based on singular spectrum analysis with motion decision

• Published in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2016; pp. 3511 - 3514
• Main Authors: Yang Wang, Zhiwen Liu, Bin Dong
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.08.2016
• Subjects: Acceleration; Cell Phone; Electrocardiography; Equipment Design; Estimation; Harmonic analysis; Heart rate; Heart Rate - physiology; Heart Rate Determination - instrumentation; Heart Rate Determination - methods; Humans; Interference; Monitoring; Motion; Movement; Photoplethysmography - instrumentation; Photoplethysmography - methods; Signal Processing, Computer-Assisted; Time series analysis; Wrist
• ISSN: 1557-170X
• DOI: 10.1109/EMBC.2016.7591485

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).