Distributed computing and monitoring technologies for older patients [[electronic resource] /] / by Juris Klonovs, Mohammad Ahsanul Haque, Volker Krüger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika Geraldina Spaich

• Autore: Klonovs Juris
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (112 p.)
• Disciplina: 362.14
• Soggetto topico: Health informatics; User interfaces (Computer systems); Biomedical engineering; Emergency medicine; Geriatrics; Health Informatics; User Interfaces and Human Computer Interaction; Biomedical Engineering and Bioengineering; Emergency Services; Geriatrics/Gerontology
• Persona (resp. second.): Ahsanul HaqueMohammad; KrügerVolker; NasrollahiKamal; Andersen-RanbergKaren; MoeslundThomas B; Geraldina SpaichErika
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters.
• Nota di contenuto: Introduction -- Reviews and Taxonomies -- Relevant Scenarios for Home Monitoring Solutions for Older Adults -- Monitoring Technology -- Datasets -- Discussion -- Conclusion.
• Sommario/riassunto: This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions.
• Titolo autorizzato: Distributed Computing and Monitoring Technologies for Older Patients
• ISBN: 3-319-27024-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254997503321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computer Science, . 2191-5768