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Dataset Information

Comparison analysis between standard polysomnographic data and in-ear-electroencephalography signals: a preliminary study.


ABSTRACT:

Study objectives

Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in sleep quality assessment. Hence, less invasive, cost-effective, and portable alternatives need to be explored. One promising contender is the in-ear-electroencephalography (EEG) sensor. This study aims to establish a methodology to assess the similarity between the single-channel in-ear-EEG and standard PSG derivations.

Methods

The study involves 4-hour signals recorded from 10 healthy subjects aged 18-60 years. Recordings are analyzed following two complementary approaches: (1) a hypnogram-based analysis aimed at assessing the agreement between PSG and in-ear-EEG-derived hypnograms; and (2) a featur

SUBMITTER: Palo G 

PROVIDER: S-EPMC11672114 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature