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Sleep After Concussion: A Scoping Review of Sensor Technologies
Ryan Takagi1, Chamin Wanasundara2, Lyndia Wu1
1Faculty of Applied Science, Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
Journal of Neurotrauma
|June 4, 2024
Summary
Sensor technologies objectively monitor sleep after concussion, aiding recovery. However, varied methods hinder comparisons, necessitating standardization for clinical use in concussion management.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Sleep Medicine
Background:
- Sleep disturbances are common after concussion/mild traumatic brain injury (mTBI).
- These disturbances correlate with prolonged recovery and increased comorbidities.
- Objective sleep monitoring via sensors can provide crucial physiological data.
Purpose of the Study:
- To conduct a scoping review on sensor technology use for sleep monitoring post-concussion.
- To identify current methodologies and sleep metrics employed.
- To assess the potential for clinical integration.
Main Methods:
- Systematic search of multiple databases (Ovid, Web of Science, CINAHL, etc.) up to June 20, 2022.
- Inclusion of studies objectively monitoring sleep in concussion patients.
- Screening of 1081 articles, with 37 included in the review.
Main Results:
- 17 studies used polysomnography (PSG) long-term post-injury, reporting diverse metrics like sleep stages and arousal.
- 22 studies used actigraphy short-term post-injury, primarily reporting sleep-wake times.
- Significant variability in outcome measures and deployment methods was observed for both technologies.
Conclusions:
- Sensor technologies show promise for understanding sleep's role in concussion recovery.
- High variability in methodologies impedes cross-study comparisons and highlights the need for standardization.
- Consensus on sensor use could enable clinical integration with subjective methods for enhanced sleep monitoring.
