Reduction of Motion Artifacts In Electrocardiogram Monitoring Using an Optical Sensor
Author(s) -
Yan Liu,
Michael Pecht
Publication year - 2011
Publication title -
biomedical instrumentation and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.206
H-Index - 28
eISSN - 1943-5967
pISSN - 0899-8205
DOI - 10.2345/0899-8205-45.2.155
Subject(s) - motion sensors , motion (physics) , ambulatory ecg , computer vision , artificial intelligence , computer science , continuous monitoring , remote patient monitoring , motion detection , reduction (mathematics) , electrocardiography , biomedical engineering , medicine , cardiology , engineering , mathematics , radiology , operations management , geometry
The effectiveness of electrocardiogram (ECG) monitors can be significantly impaired by motion artifacts, which can trigger false alarms, cause misdiagnoses, and lead to inappropriate treatment decisions. Skin stretch associated with patient motion is the most significant source of motion artifacts in current ECG monitoring. In this study, motion artifacts are adaptively filtered by using skin strain as the reference variable, measured noninvasively using an optical sensor incorporated into an ECG electrode. The results demonstrate that this new device and method can significantly reduce motion induced ECG artifacts in continuous ambulatory ECG monitoring.
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