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Motion Artifact Reduction in Photoplethysmographic Signals: A Review


 

Photoplethysmography (PPG) is a simple and low-cost optical technique that can be used to detect blood volume changes in the microvascular bed of tissue. The PPG technology has been used in a wide range of commercially available medical devices for measuring oxygen saturation, blood pressure and cardiac output, assessing autonomic function and also detecting peripheral vascular disease. The recorded PPG signal acquired using PPG sensors are usually corrupted with Motion Artifacts (MA) due to the voluntary or involuntary movements of patient. The identification and elimination of MA has received much attention in the literature over recent years. This review focuses on the methods for MA reduction from corrupted PPG signals.

Keywords

PPG, Motion Artifact, Adaptive Filter, Singular Value Decomposition (SVD), Independent Component Analysis (ICA), Wavelet Transform
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  • Motion Artifact Reduction in Photoplethysmographic Signals: A Review

Abstract Views: 163  |  PDF Views: 1

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Abstract


Photoplethysmography (PPG) is a simple and low-cost optical technique that can be used to detect blood volume changes in the microvascular bed of tissue. The PPG technology has been used in a wide range of commercially available medical devices for measuring oxygen saturation, blood pressure and cardiac output, assessing autonomic function and also detecting peripheral vascular disease. The recorded PPG signal acquired using PPG sensors are usually corrupted with Motion Artifacts (MA) due to the voluntary or involuntary movements of patient. The identification and elimination of MA has received much attention in the literature over recent years. This review focuses on the methods for MA reduction from corrupted PPG signals.

Keywords


PPG, Motion Artifact, Adaptive Filter, Singular Value Decomposition (SVD), Independent Component Analysis (ICA), Wavelet Transform