Related Experiment Video
Updated: Apr 15, 2026
08:45
Polygraphic Recording Procedure for Measuring Sleep in Mice
Published on: January 25, 2016
25.8K
Comparison of EMG, Video, and Actigraphy Signals for Detecting Motor Activity in REM Sleep Behavior Disorder
Kang Hyun Ryu1, Giorgio Ricciardiello Mejia1, Salonee Marwaha1
1Department of Neurology, Icahn School of Medicine, New York, NY 10029, USA.
Diagnostics (Basel, Switzerland)
|April 14, 2026
Summary
Wrist actigraphy, electromyography (EMG), and video-polysomnography (vPSG) capture overlapping motor events in rapid-eye-movement sleep behavior disorder (RBD). Actigraphy demonstrated higher sensitivity in detecting these REM sleep-related motor activities.
Area of Science:
- Neuroscience
- Sleep Medicine
- Biomedical Engineering
Background:
- Electromyography (EMG), video-polysomnography (vPSG), and wrist actigraphy are utilized for diagnosing rapid-eye-movement sleep behavior disorder (RBD).
- The degree of overlap and distinctiveness in motor phenomena captured by these methods for RBD diagnosis is not well understood.
- This study investigates the individual and combined contributions of actigraphy, EMG, and vPSG in measuring REM sleep motor activity.
Purpose of the Study:
- To evaluate the distinct and overlapping motor phenomena measured by actigraphy, EMG, and vPSG during REM sleep in individuals with RBD.
- To determine the sensitivity and agreement of these three modalities in detecting motor events associated with RBD.
Main Methods:
- Seventeen adults with RBD and eight controls underwent simultaneous vPSG and wrist actigraphy.
- Flexor digitorum superficialis EMG activity and video-detected movements were scored in 3-second epochs.
- Actigraphy data were quantified using an acceleration-magnitude-based activity count model; statistical and agreement analyses were performed.
Main Results:
- Actigraphy-derived movement load was significantly higher during REM sleep in RBD participants compared to controls.
- A moderate pairwise agreement was observed between EMG, actigraphy, and video for detecting motor events, with EMG-video showing the highest agreement (κ = 0.45 ± 0.15).
- Actigraphy detected 49.0% of EMG-identified events and identified the highest proportion of concurrently detected events across all three modalities.
Conclusions:
- Actigraphy effectively measures elevated REM-related motor activity in RBD patients, distinguishing them from controls.
- EMG, actigraphy, and video capture partially overlapping motor events in RBD, with actigraphy exhibiting the highest sensitivity.
- Manually scored video demonstrated the lowest sensitivity in detecting these motor events.
