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0356 Machine Learning Detection of Arousals from At-Home Sleep EEG Device Demonstrates Superior Reliability Compared to Experts

Year: 2026

Type: conference-abstract

Source: SLEEP

DOI: 10.1093/sleep/zsag091.0356

Authors: Franz Fürbass, Jack Sampiere, Jay Pathmanathan, Antoine Guillot, Alexander Chan

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7160649643

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