Detection of motion artifact patterns in photoplethysmographic signals based on time and period domain analysis.

@article{Couceiro2014DetectionOM,
  title={Detection of motion artifact patterns in photoplethysmographic signals based on time and period domain analysis.},
  author={Ricardo Couceiro and Pedro Carvalho and Rui Pedro Paiva and Jorge Henriques and Jens Muehlsteff},
  journal={Physiological measurement},
  year={2014},
  volume={35 12},
  pages={2369-88}
}
The presence of motion artifacts in photoplethysmographic (PPG) signals is one of the major obstacles in the extraction of reliable cardiovascular parameters in continuous monitoring applications. In the current paper we present an algorithm for motion artifact detection based on the analysis of the variations in the time and the period domain characteristics of the PPG signal. The extracted features are ranked using a normalized mutual information feature selection algorithm and the best… CONTINUE READING
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