Wireless wearable sensors can facilitate rapid detection of sleep apnea in hospitalized stroke patients.

ABSTRACT:

Study objectives

To evaluate wearable devices and machine learning for detecting sleep apnea in patients with stroke at an acute inpatient rehabilitation facility (IRF).

Methods

A total of 76 individuals with stroke wore a standard home sleep apnea test (ApneaLink Air), a multimodal, wireless wearable sensor system (ANNE), and a research-grade actigraphy device (ActiWatch) for at least 1 night during their first week after IRF admission as part of a larger clinical trial. Logistic regression algorithms were trained to detect sleep apnea using biometric features obtained from the ANNE sensors and ground truth apnea rating from the ApneaLink Air. Multiple algorithms were evaluated using different sensor combinations and different apnea detection criteria based on the apnea-hyp

SUBMITTER: Sindorf J 

PROVIDER: S-EPMC11543614 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature