We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Motion artifact removal from photoplethysmographic signals by combining temporally constrained independent component analysis and adaptive filter.
- Authors
Fulai Peng; Zhengbo Zhang; Xiaoming Gou; Hongyun Liu; Weidong Wang
- Abstract
Background The calculation of arterial oxygen saturation (SpO2) relies heavily on the amplitude information of the high-quality photoplethysmographic (PPG) signals, which could be contaminated by motion artifacts (MA) during monitoring. Methods A new method combining temporally constrained independent component analysis (cICA) and adaptive filters is presented here to extract the clean PPG signals from the MA corrupted PPG signals with the amplitude information reserved. The underlying PPG signal could be extracted from the MA contaminated PPG signals automatically by using cICA algorithm. Then the amplitude information of the PPG signals could be recovered by using adaptive filters. Results Compared with conventional ICA algorithms, the proposed approach is permutation and scale ambiguity-free. Numerical examples with both synthetic datasets and real-world MA corrupted PPG signals demonstrate that the proposed method could remove the MA from MA contaminated PPG signals more effectively than the two existing FFT-LMS and moving average filter (MAF) methods. Conclusions This paper presents a new method which combines the cICA algorithm and adaptive filter to extract the underlying PPG signals from the MA contaminated PPG signals with the amplitude information reserved. The new method could be used in the situations where one wants to extract the interested source automatically from the mixed observed signals with the amplitude information reserved. The results of study demonstrated the efficacy of this proposed method.
- Subjects
PHOTOPLETHYSMOGRAPHY; INDEPENDENT component analysis; ADAPTIVE filters; SATURATION (Chemistry); MOVING average process
- Publication
BioMedical Engineering OnLine, 2014, Vol 13, Issue 1, p1
- ISSN
1475-925X
- Publication type
Article
- DOI
10.1186/1475-925X-13-50