Thermal-Signature-Based Sleep Analysis Sensor
| Autor: | Andrea Pinna, Dan Istrate, Ali Seba, Toufik Guettari, Patrick Garda, Adrien Ugon |
|---|---|
| Přispěvatelé: | Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Systèmes Electroniques (SYEL), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Recherche et d'Innovation Technologique (ESIGETEL) (LRIT), Département Electronique et Physique (TSP - EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Electronique et Physique (EPH) |
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Computer science Computer Networks and Communications media_common.quotation_subject 0206 medical engineering 02 engineering and technology Polysomnography Electromyography Audiology Electroencephalography thermopile sensor actimetry thermal camera data classification tele-medicine polysomnography 03 medical and health sciences Muscle tone 0302 clinical medicine [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing medicine ComputingMilieux_MISCELLANEOUS Simulation media_common Sleep Stages lcsh:T58.5-58.64 medicine.diagnostic_test Hypnogram lcsh:Information technology business.industry Communication biomedical_chemical_engineering Electrooculography 020601 biomedical engineering Human-Computer Interaction medicine.anatomical_structure Sleep (system call) business 030217 neurology & neurosurgery Vigilance (psychology) |
| Zdroj: | Biodiversity Informatics Biodiversity Informatics, 2017, 4 (4), ⟨10.3390/informatics4040037⟩ Informatics; Volume 4; Issue 4; Pages: 37 Biodiversity Informatics, University of Kansas, 2017, 4 (4), ⟨10.3390/informatics4040037⟩ Informatics, Vol 4, Iss 4, p 37 (2017) |
| ISSN: | 2227-9709 1546-9735 |
| DOI: | 10.3390/informatics4040037 |
| Popis: | This paper address the development of a new technic in the sleep analysis domain. Sleep is defined as a periodic physiological state during which vigilance is suspended and reactivity to external stimulations diminished. We sleep on average between six and nine hours per night and our sleep is composed of four to six cycles of about 90-minutes each. Each of these cycles is composed of a succession of several stages of sleep, more or less deep. The analysis of sleep is usually done using a polysomnography. This examination consists of recording, among other things, electrical cerebral activity by electroencephalography (EEG), ocular movements by electrooculography (EOG) and chin muscle tone by electromyography (EMG). The recording is done mostly in a hospital, more specifically in a service for monitoring the pathologies related to sleep. The readings are then interpreted manually by an expert to generate a hypnogram, a curve showing the succession of sleep stages during the night in 30-second epochs. The proposed method is based on the follow-up of the thermal signature that makes it possible to classify the activity into three classes: "awakening", "calm sleep" and "agitated sleep". The contribution of this non-invasive method is part of the screening of sleep disorders, to be validated by a more complete analysis of the sleep. The measure provided by this new system, based on temperature monitoring (patient and ambient), aims to be integrated into the tele-medicine platform developed within the framework of the Smart-EEG project by the SYEL - SYstèmes ELectroniques team. Analysis of the data collected during the first surveys carried out with this method showed a correlation between thermal signature and activity during sleep. The advantage of this method lies in its simplicity and the possibility of carrying out measurements of activity during sleep and without direct contact with the patient at home or hospitals. |
| Databáze: | OpenAIRE |
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