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

Author

Godfrey, Alan ; Conway, Richard ; Leonard, Maeve ; Meagher, David ; ÓLaighin, Gearóid M.

Author_Institution

Biomedical Electronics Laboratory, Department of Electronic and Computer Engineering, University of Limerick, Ireland

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3574

Lastpage

3577

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.

Keywords

Biomedical monitoring; Continuous wavelet transforms; Motion analysis; Motion measurement; Patient monitoring; Psychology; Senior citizens; Signal analysis; Wavelet analysis; Wavelet transforms; Delirium; Equipment Design; Humans; Motion; Motion Perception; Motor Activity; Motor Skills; Neuropsychological Tests; Psychiatric Status Rating Scales; Reproducibility of Results; Signal Processing, Computer-Assisted; Software; Time Factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649978

Filename

4649978