Weighted Time Warping for Temporal Segmentation of Multi-Parameter Physiological Signals

We present a novel approach to segmenting a quasiperiodic multi-parameter physiological signal in the presence of noise and transient corruption. We use Weighted Time Warping (WTW), to combine the partially correlated signals. We then use the relationship between the channels and the repetitive morp...

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Bibliographic Details
Main Authors: Ganeshapillai, Gartheeban (Contributor), Guttag, John V. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Biosignals, 2012-10-12T18:34:58Z.
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