Abstract
The aim of the present study was to develop and validate a software tool for the detection of movements during sleep, based on the automated analysis of video recordings. This software is aimed to detect and quantify movements and to evaluate periods of sleep and wake.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 318-323 |
| Numero di pagine | 6 |
| Rivista | Clinical Neurophysiology |
| Volume | 123 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2012 |
Keywords
- Actigraphy
- Adult
- Female
- Humans
- Male
- Middle Aged
- Movement
- Polysomnography
- Sleep
- Sleep Stages
- Software
- Videotape Recording
- Wakefulness
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