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Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3574-7. doi: 10.1109/IEMBS.2008.4649978.

Motion analysis in delirium: a wavelet based approach for sub classification.

Author information

1
Department 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.

PMID:
19163481
DOI:
10.1109/IEMBS.2008.4649978
[Indexed for MEDLINE]

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