Automatic Sleep Assessment from Nocturnal Breathing and Its Applications for Contactless Monitoring
The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people’s bodies while they sleep is quite powerful. Such a capability would allow for longitudinal data collection in patients’ hom...
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Format: | Thesis |
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Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/156338 https://orcid.org/0000-0002-9040-0176 |