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Motion Artifact Reduction in Photoplethysmography Using Independent Component Analysis
Open accessAbstract
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.
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Citations
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“In addition, by exploiting the independence between PPG and motion artifacts, Kim and Yoo proposed that the combination of ICA and block interleaving with a low-pass filter can reduce the motion artifacts under the conditions used in general dual-wavelength measurements [72].”
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“Most studies focused on the elimination of MA from the corrupted PPG by applying different signal processing techniques; for example, the Fourier series analysis [7], the adaptive filtering [8-12], the independent component analysis [12-15], and the wavelet transform [15, 16].”
Method
Metadata
- Authors
- Kim, B. S., & Yoo, S. K.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2006-03
- Volume
- 53
- Issue
- 3
- Pages
- 566-568
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2117987876
- Cited by
- 399
- References
- 0
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- green
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