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Single-channel EEG-based sleep state detection using spectral features and machine learning

Hemant Vishwakarma Dushyant Kumar Singh Shruti Pallawi
Jul 2026 · Life Cycle Reliability and Safety Engineering · Vol 15, pp. 877 - 885 · 0 citations · 22 references

TL;DR

An end-to-end classification framework using self-recorded single-channel wearable EEG data collected under real-world resting conditions, capturing natural inter-session variability and noise characteristics of practical wearable acquisition demonstrates the feasibility of low-cost single-channel EEG for practical sleep-state classification.

DOI Semantic Scholar
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