Motion analysis in delirium: A wavelet based approach for sub classification

Godfrey, Alan, Conway, Richard, Leonard, Maeve, Meagher, David and OLaighin, Gearoid M. (2008) Motion analysis in delirium: A wavelet based approach for sub classification. In: EMBS 2008 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20th - 25th August 2008, Vancouver, BC, Canada.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/IEMBS.2008.4649978

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: C800 Psychology
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 23 Apr 2018 11:52
Last Modified: 23 Apr 2018 11:52
URI: http://nrl.northumbria.ac.uk/id/eprint/34083

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