WASO as a Stage-Resolved Window for Detectable HRV Differences in Paradoxical Insomnia

Paradoxical insomnia (PI) is characterized by a discrepancy between subjective sleep complaints and objectively preserved sleep, yet its autonomic mechanisms remain poorly understood. This study examined stage-specific autonomic characteristics of PI using heart rate variability (HRV) analyses in a large population-based cohort. HRV features were extracted from non-overlapping five-minute windows across non-rapid eye movement (NREM) sleep, rapid eye movement (REM) sleep, and wake after sleep onset (WASO). Group differences were evaluated using FDR-corrected univariate analysis, multivariate embedding, and supervised machine learning. Whole-night, NREM, and REM features showed substantial overlap among groups. In contrast, the most consistent between-group differences emerged during WASO. Multivariate analysis showed the greatest group displacement during WASO, with UMAP centroid distances exceeding those observed during NREM and REM sleep. Supervised models trained on WASO-specific features achieved the highest classification performance, yielding an accuracy of 0.629 and an F1-score of 0.683 for PI versus normal sleep. Taken together, these findings suggest that WASO is the stage in which between-group HRV differences are most consistently detectable across complementary analyses, although several dispersion-based findings were substantially influenced by WASO window count.

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Publication Details

Journal
Technologies
Published
2026-03-22
DOI
https://doi.org/10.3390/technologies14030192
Primary Topic
Sleep and related disorders
Type
article
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article

WASO as a Stage-Resolved Window for Detectable HRV Differences in Paradoxical Insomnia

Se Dong Min, Ye Eun Kong, A Hyun Jung
Technologies
Sleep and related disorders
article

WASO as a Stage-Resolved Window for Detectable HRV Differences in Paradoxical Insomnia

Se Dong Min, Ye Eun Kong, A Hyun Jung
article en

Abstract

Paradoxical insomnia (PI) is characterized by a discrepancy between subjective sleep complaints and objectively preserved sleep, yet its autonomic mechanisms remain poorly understood. This study examined stage-specific autonomic characteristics of PI using heart rate variability (HRV) analyses in a large population-based cohort. HRV features were extracted from non-overlapping five-minute windows across non-rapid eye movement (NREM) sleep, rapid eye movement (REM) sleep, and wake after sleep onset (WASO). Group differences were evaluated using FDR-corrected univariate analysis, multivariate embedding, and supervised machine learning. Whole-night, NREM, and REM features showed substantial overlap among groups. In contrast, the most consistent between-group differences emerged during WASO. Multivariate analysis showed the greatest group displacement during WASO, with UMAP centroid distances exceeding those observed during NREM and REM sleep. Supervised models trained on WASO-specific features achieved the highest classification performance, yielding an accuracy of 0.629 and an F1-score of 0.683 for PI versus normal sleep. Taken together, these findings suggest that WASO is the stage in which between-group HRV differences are most consistently detectable across complementary analyses, although several dispersion-based findings were substantially influenced by WASO window count.

TechnologiesVol. 14(3)
Soonchunhyang University (KR)
Openalex Percentile: Top 15%
Sleep and related disorders
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WASO as a Stage-Resolved Window for Detectable HRV Differences in Paradoxical Insomnia — Se Dong Min, Ye Eun Kong, et al. · Technologies (2026) | TGRS Research Map | TGRS