Published June 6, 2022
| Version version 1.0
Poster
Open
Multimodal Sleep Monitoring Across the 24-h Day for Dementia
Authors/Creators
- 1. Centre for Vision, Speech and Signal Processing, University of Surrey
- 2. Department of Mathematics, University of Surrey
- 3. Surrey Sleep Research Centre, University of Surrey
Description
Sleep disturbances have been reported as one of the most common symptoms among people living with dementia (PLWD). Few technologies to longitudinally monitor sleep across the 24-h day are available. Here, we develop machine learning models that use multimodal data to accurately monitor sleep across the day and night.
Files
Doctoral College Conference_Elaheh Kalantari.pdf
Files
(23.0 kB)
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