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

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

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

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

^*Corresponding author for this work

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Publisher	IEEE
Pages	3574-3577
Number of pages	4
ISBN (Print)	9781424418152
Publication status	Published - 1 Dec 2008
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: 20 Aug 2008 → 25 Aug 2008

Conference

Conference	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	20/08/08 → 25/08/08

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Cite this

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title = "Motion analysis in delirium: A wavelet based approach for sub classification",

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.",

author = "Alan Godfrey and Richard Conway and Maeve Leonard and David Meagher and {\'O}Laighin, {Gear{\'o}id M.}",

year = "2008",

month = dec,

day = "1",

language = "English",

isbn = "9781424418152",

pages = "3574--3577",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",

publisher = "IEEE",

address = "United States",

note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

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Godfrey, A, Conway, R, Leonard, M, Meagher, D & ÓLaighin, GM 2008, Motion analysis in delirium: A wavelet based approach for sub classification. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4649978, IEEE, pp. 3574-3577, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 20/08/08. <https://ieeexplore.ieee.org/document/4649978/>

Motion analysis in delirium: A wavelet based approach for sub classification. / Godfrey, Alan; Conway, Richard; Leonard, Maeve et al.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. IEEE, 2008. p. 3574-3577 4649978.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Motion analysis in delirium

T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

AU - Godfrey, Alan

AU - Conway, Richard

AU - Leonard, Maeve

AU - Meagher, David

AU - ÓLaighin, Gearóid M.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - 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.

AB - 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.

M3 - Conference contribution

C2 - 19163481

AN - SCOPUS:61849149432

SN - 9781424418152

SP - 3574

EP - 3577

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

PB - IEEE

Y2 - 20 August 2008 through 25 August 2008

ER -

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

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