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.
authors.affiliation: Department of Electronic and Computer Engineering, University of Limerick, Ireland. alan.godfrey@ul.ie
authors.forename: Alan
authors.initials: A
authors.lastname: Godfrey
authors.forename: Richard
authors.initials: R
authors.lastname: Conway
authors.forename: Maeve
authors.initials: M
authors.lastname: Leonard
authors.forename: David
authors.initials: D
authors.lastname: Meagher
authors.forename: Gearoid M
authors.initials: GM
authors.lastname: Olaighin
mesh_terms: 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