Using dynamic time warping for sleep and wake discrimination

  title={Using dynamic time warping for sleep and wake discrimination},
  author={Xi Long and Pedro Fonseca and J{\'e}r{\^o}me Foussier and Reinder Haakma and Ronald M. Aarts},
  journal={Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics},
In previous work, a Linear Discriminant (LD) classifier was used to classify sleep and wake states during single-night polysomnography recordings (PSG) of actigraphy, respiratory effort and electrocardiogram (ECG). In order to improve the sleep-wake discrimination performance and to reduce the number of modalities needed for class discrimination, this study incorporated Dynamic Time Warping (DTW) to help discriminate between sleep and wake states based on actigraphy and respiratory effort… CONTINUE READING

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