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Content Provider | IEEE Xplore Digital Library |
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Author | Suzuki, T. Kameyama, K.-i. Tamura, T. |
Copyright Year | 2009 |
Description | Author affiliation: Toshiyo Tamura, Graduate School of Engineering, Chiba University, Chiba, Japan (Tamura, T.) || Corporate Research and Development Center Toshiba Corporation, Kanagawa, Japan (Suzuki, T.; Kameyama, K.-i.) |
Abstract | We developed an arrhythmic pulse detection algorithm from photoplethysmography (PPG) measured in daily life using a wearable PPG sensor, in order to provide a simpler device than a Holter electrocardiograph (ECG). However, PPG is very sensitive to artifacts in daily life, e.g. body movement. First, we analyzed the correlation between the ECG and the PPG measured at the same time when the arrhythmic heartbeat occurred in daily life. Using the correlation characteristics, we developed a detection algorithm of the arrhythmic pulse to distinguish the artifacts ascribable to body movement and evaluated its accuracy. The algorithm detects pulse-to-pulse interval (PPI) and pulse amplitude by a beat to distinguish between irregular PPI by arrhythmic pulse and that by the artifact. |
Starting Page | 6080 |
Ending Page | 6083 |
File Size | 601770 |
Page Count | 4 |
File Format | |
ISBN | 9781424432967 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2009.5335401 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wearable sensors Electrocardiography Heart beat Detection algorithms Pulse measurements Time measurement Heart rate Rail to rail inputs Medical services Hospitals |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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