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Improved elimination of motion artifacts from a photoplethysmographic signal using a Kalman smoother with simultaneous accelerometry
- Source :
- Physiological Measurement. 31:1585-1603
- Publication Year :
- 2010
- Publisher :
- IOP Publishing, 2010.
-
Abstract
- A photoplethysmography (PPG) signal provides very useful information about a subject's hemodynamic status in a hospital or ubiquitous environment. However, PPG is very vulnerable to motion artifacts, which can significantly distort the information belonging to the PPG signal itself. Thus, the reduction of the effects of motion artifacts is an important issue when monitoring the cardiovascular system by PPG. There have been many adaptive techniques to reduce motion artifacts from PPG signals. In the present study, we compared a method based on the fixed-interval Kalman smoother with the usual adaptive filtering algorithms, e.g. the normalized least mean squares, recursive least squares and the conventional Kalman filter. We found that the fixed-interval Kalman smoother reduced motion artifacts from the PPG signal most effectively. Therefore, the use of the fixed-interval Kalman smoother can reduce motion artifacts in PPG, thus providing the most reliable information that can be deduced from the reconstructed PPG signals.
- Subjects :
- Recursive least squares filter
Physiology
Computer science
business.industry
Acceleration
Biomedical Engineering
Biophysics
Kalman filter
Accelerometer
Signal
Least mean squares filter
Reduction (complexity)
Control theory
Motion artifacts
Physiology (medical)
Photoplethysmogram
Humans
Computer Simulation
Computer vision
Artificial intelligence
Artifacts
Photoplethysmography
business
Algorithms
Subjects
Details
- ISSN :
- 13616579 and 09673334
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Physiological Measurement
- Accession number :
- edsair.doi.dedup.....b285f18b0ae9d09fa58fb2dac4e6afc4