alexa Motion artifact reduction in photoplethysmography using independent component analysis
Engineering

Engineering

Journal of Biosensors & Bioelectronics

Author(s): BS Kim SK Yoo

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Removing the motion artifacts from measured photoplethysmography (PPG) signals is one of the important issues to be tackled for the accurate measurement of arterial oxygen saturation during movement. In this paper, the motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the PPG and the motion artifact signals. The combination of independent component analysis and block interleaving with low-pass filtering can reduce the motion artifacts under the condition of general dual-wavelength measurement. Experiments with synthetic and real data were performed to demonstrate the efficacy of the proposed algorithm.

This article was published in IEEE Transactions on Biomedical Engineering and referenced in Journal of Biosensors & Bioelectronics

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