Ambulatory Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Combining Actigraphy and Questionnaire.

ABSTRACT:

Background

Isolated rapid-eye-movement sleep behavior disorder (iRBD) is in most cases a prodrome of neurodegenerative synucleinopathies, affecting 1% to 2% of middle-aged and older adults; however, accurate ambulatory diagnostic methods are not available. Questionnaires lack specificity in nonclinical populations. Wrist actigraphy can detect characteristic features in individuals with RBD; however, high-frequency actigraphy has been rarely used.

Objective

The aim was to develop a machine learning classifier using high-frequency (1-second resolution) actigraphy and a short patient survey for detecting iRBD with high accuracy and precision.

Methods

The method involved analysis of home actigraphy data (for seven nights and more) and a nine-item questionnaire (RBD Innsbr

SUBMITTER: Brink-Kjaer A 

PROVIDER: S-EPMC10092688 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature