NeuroSleep: neuromorphic event-driven single-channel EEG sleep staging for edge-efficient sensing

By coupling neuromorphic event encoding with state-aware context modeling, NeuroSleep offers a deployment-oriented framework for single-channel sleep staging that reduces redundant high-rate processing and improves energy scalability for wearable and edge platforms.

Institutions

Publication Details

Journal
Physiological Measurement
Published
2026-03-24
DOI
https://doi.org/10.1088/1361-6579/ae56cc
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

NeuroSleep: neuromorphic event-driven single-channel EEG sleep staging for edge-efficient sensing

Physiological Measurement
EEG and Brain-Computer Interfaces
article

NeuroSleep: neuromorphic event-driven single-channel EEG sleep staging for edge-efficient sensing

article en

Abstract

By coupling neuromorphic event encoding with state-aware context modeling, NeuroSleep offers a deployment-oriented framework for single-channel sleep staging that reduces redundant high-rate processing and improves energy scalability for wearable and edge platforms.

Physiological Measurement
University of Science and Technology of China (CN), Nanyang Technological University (SG), Henan University (CN)
Affordable and clean energy
Openalex Percentile: Top 14%
EEG and Brain-Computer Interfaces
DOIOpen Access PDFOpenAlex
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NeuroSleep: neuromorphic event-driven single-channel EEG sleep staging for edge-efficient sensing · Physiological Measurement (2026) | TGRS Research Map | TGRS