Motion analysis in delirium: a wavelet based approach for sub classification.
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.
Godfrey
Alan
A
Department of Electronic and Computer Engineering, University of Limerick, Ireland. alan.godfrey@ul.ie
Conway
Richard
R
Leonard
Maeve
M
Meagher
David
D
Olaighin
Gearoid M
GM
D003693:Delirium / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology*; D004867:Equipment Design; D006801:Humans; D009038:Motion; D009039:Motion Perception / Q000502:physiology*; D009043:Motor Activity / Q000502:physiology*; D009048:Motor Skills / Q000502:physiology*; D009483:Neuropsychological Tests; D011569:Psychiatric Status Rating Scales; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors