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

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 p...

Full description

Saved in:
Bibliographic Details
Published in2016 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
LanguageEnglish
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
Online AccessGet full text
ISSN1557-170X
DOI10.1109/EMBC.2016.7591485

Cover

More Information
Summary: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).
ISSN:1557-170X
DOI:10.1109/EMBC.2016.7591485