Design and First Evaluation of a Sleep Characterization Monitoring System Using a Remote Contactless Sensor
| Autor: | Jean-Christophe Daviet, Toufik Guettari, Jerome Boudy, Badr-Eddine Benkelfet, Betty Fumel, Dan Istrate |
|---|---|
| Přispěvatelé: | Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Traitement de l'Information Pour Images et Communications (TIPIC-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), ESIGETEL [Villejuif] (ESIGETEL), Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Handicap, Activité, Vieillissement, Autonomie, Environnement (HAVAE), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Service de Médecine Gériatrique [CHU Limoges], CHU Limoges, Service de Médecine Physique et de Réadaptation [CHU Limoges] |
| Rok vydání: | 2017 |
| Předmět: |
Signal processing
Computer science Real-time computing 02 engineering and technology Contactless sensor 01 natural sciences Signal Health Information Management Kohonen networks 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Adaptation (computer science) Sleep quality business.industry 010401 analytical chemistry Monitoring system Statistical model Telemedicine 0104 chemical sciences Computer Science Applications Embedded system Thermal sensor 020201 artificial intelligence & image processing Sleep (system call) Sleep quality sensor business [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology Biotechnology |
| Zdroj: | IEEE Journal of Biomedical and Health Informatics IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2017, 21 (6), pp.1511-1523. ⟨10.1109/JBHI.2016.2639823⟩ |
| ISSN: | 2168-2208 2168-2194 |
| DOI: | 10.1109/jbhi.2016.2639823 |
| Popis: | International audience; This paper presents the design and a first evaluation of a new monitoring system based on contactless sensors to estimate sleep quality. This sensor produces thermal signals which have been used, at first, to detect a human presence in the bed and then to estimate sleep quality. To distinguish between different sleep phases, we have used methods of signal processing in order to extract the necessary features for learning an adapted statistical model. The existing monitoring systems use sensors attached to the bed or worn by the person. We propose in this paper a system based on a passive thermal sensor which has the advantage of being fixed on the wall, thus it is easier to use and more reliable. We explain different signal processing steps and describe sleep stage recognition algorithms. We propose an adaptation of the SAX method for the thermal signal. Finally, we evaluate our system in comparison with a polysomnographic recording system in the Hospital (CHU) of Limoges. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|