Supplementary Results for Single-Channel EEG Wake Detection

Published: 13 October 2026| Version 1 | DOI: 10.17632/78x5pr8sh3.1
Contributor:
Satvik Agarwal

Description

This dataset record contains supplementary results for the study “Cost-Aware Wake-State Detection from Single-Channel Frontal EEG: Nested Subject-Independent Evaluation of Specificity-Constrained Operating Points.” The supplementary document provides additional subject-level and class-level performance results, including comparisons of baseline and nested threshold-selection approaches. These materials complement the results presented in the main manuscript. The study analyses publicly available Sleep-EDF EEG data; the supplementary file contains results tables rather than a redistribution of the original EEG recordings.

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The supplementary document contains additional subject-level and class-level results supporting the manuscript on single-channel EEG Wake detection. The tables report per-subject performance, class-wise metrics, and comparisons between baseline and nested threshold-selection approaches. The computational methods and evaluation procedures are described in the main manuscript and the accompanying code repository.

Categories

Neuroscience, Biomedical Engineering, Machine Learning

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