A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation

Authors:
Gert Van Dijck;Marc M. Van Hulle;Jo Van Vaerenbergh
Affiliations:
-;-;-
Venue:
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Year:
2007

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Cited 1

Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks

Artificial Intelligence in Medicine

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Abstract

A new detection criterion based on the change in the marginal information redundancy is presented. By establishing a link with information theory we are able to give an intuitive interpretation of our criterion. The usefulness of the new criterion is demonstrated for a case study of human movement initiation detection from force and torque signals in activity of daily living tasks. Using the new criterion, we achieve a performance that is more in agreement with expert decisions compared with traditional thresholding techniques and the advanced wavelet-based detector and energy detectors.