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August 12, 2026Experimental NeurobiologyOpen Access

A Novel Methodology for Temporal Analysis of Consumer Wearable Sleep Data: Feasibility and Application to Early Cognitive Impairment

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Authors

SLSangho LeeKKKwangsu KimJBJisub Bae

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Overview

Randomized trial explores time-series sleep data in older adults, indicating potential for cognitive decline detection.

Key Points

  • The study aims to develop a new framework for analyzing sleep data from wearables to identify signals of cognitive impairment.
  • Monitored daily sleep patterns of 13 participants over three months using Fitbit Charge 2.
  • Implemented time-resolved analysis across 10-minute intervals instead of aggregate nightly averages.
  • Participants included 5 healthy controls, 4 with aMCI, and 4 with mild AD.
  • aMCI and AD groups showed shorter deep sleep during early night phases (p<0.05).
  • Reduced REM sleep was observed approximately three hours after sleep onset (p<0.05).
  • Consistently elevated levels of light sleep and WASO were documented in the affected groups.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6a7c203e06a85aed514b730fhttps://doi.org/10.5607/en26014
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Longitudinal Variability of Wearable-Derived Sleep and Heart Rate as a Digital Biomarker for Early Detection of Mild Cognitive Impairment2026
  2. 2AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review2026 · 8 citations
  3. 30312 An At-home, Wireless, Sleep Monitoring System for Long-term, Reliable Sleep Assessment in Young and Older Adults2024
  4. 4Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline2025
  5. 5Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study2024 · 5 citations