Related Experiment Video
Updated: Jul 10, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Towards automated sleep state estimation using a Holter-oximeter
Abstract:
Single-channel ECG and finger photoplethysmogram were used to estimate sleep states in obstructive sleep apnea patients. Overnight Holter-oximeter recordings from 14 subjects with suspected sleep apnea were analysed. Parameters including the RR interval, photoplethysmogram amplitude and rise time, and pulse arrival time were characterised and a Hidden Markov Model classifier used to identify Wake, REM and Sleep states. An overall accuracy of 77% and Cohen's kappa of 0.54 was achieved, establishing a baseline level of usefulness for sleep state estimation using a Holter-oximeter. Autonomic arousals detected using pulse arrival time also appeared to be strongly correlated with Epworth Sleepiness Scale scores.
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