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Published on: March 10, 2017
Motion analysis in delirium: a wavelet based approach for sub classification
Alan Godfrey1, Richard Conway, Maeve Leonard
1Department of Electronic and Computer Engineering, University of Limerick, Ireland. alan.godfrey@ul.ie
Abstract:
The usefulness of motor subtypes of delirium is unclear due to inconsistency in sub-typing methods and a lack of validation with objective measures of motor activity levels. Patients were studied with hyperactive, hypoactive, and mixed presentations of delirium. The patient's activity was determined with 24 hour accelerometer-based monitoring and a continuous wavelet transform was applied with a wavelet deemed suitable to distinguish between these motor presentations. The procedures were well tolerated and motor presentations were readily distinguished using the accelerometry-based measurements.
