Distributed Computing and Monitoring Technologies for Older by Juris Klonovs, Mohammad Ahsanul Haque, Volker Krüger, Kamal

By Juris Klonovs, Mohammad Ahsanul Haque, Volker Krüger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika Geraldina Spaich

This publication summarizes a variety of ways for the automated detection of overall healthiness threats to older sufferers at domestic dwelling on my own. The textual content starts off by means of in brief describing those that may so much take advantage of healthcare supervision. The publication then summarizes attainable eventualities for tracking an older sufferer at domestic, deriving the typical useful standards for tracking know-how. subsequent, the paintings identifies the cutting-edge of technological tracking methods which are essentially acceptable to geriatric sufferers. A survey is gifted on a variety of such interdisciplinary fields as shrewdpermanent houses, telemonitoring, ambient intelligence, ambient assisted dwelling, gerontechnology, and aging-in-place know-how. The booklet discusses appropriate experimental stories, highlighting the appliance of sensor fusion, sign processing and computer studying ideas. eventually, the textual content discusses destiny demanding situations, providing a few feedback for additional learn directions.

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Extra resources for Distributed Computing and Monitoring Technologies for Older Patients

Sample text

Implement the RFID position based system of automatic tablets packaging machine for patient safety. J. Med. Syst. 36(6), 3463–3471 (2012) 90. : The promise of mHealth daily activity monitoring and outcome assessments by wearable sensors. Neurorehabil. Neural Repair 25(9), 788–798 (2011) 91. : Fall detection and activity recognition with machine learning. Informatica 33, 205–212 (2009) 92. : Discovering the chances of health problems and falls in the elderly using data mining. , Abe, A. ) Advances in Chance Discovery, pp.

Moreover, the previous reviews did not discuss the methods for in-home diagnosis of patients and include less discussion regarding collection of datasets in the patient-centered contexts. Thus, in this book we systematically summarize the methods that came up as solutions by utilizing monitored data to the issues related to patient’s necessity, services, and measuring diagnostic parameters of older adults in smart-home scenarios. 1 further summarizes the main features and contents of these key review works in the domain of monitoring technologies and health threat detection in older adults, where the column Topic presents the reviews’ context such as the algorithms for activity recognition, hardware tools available for monitoring, hospitality services available at home, and/or evaluation methods for monitoring systems.

Off. J. Am. Telemed. Assoc. : Determination of activities of daily living of independent living older people using environmentally placed sensors. Conference Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2013, pp. 7044–7047. : A case study of an ambient living and wellness management health care model in Australia. , Nugent, C. ) Ambient Assistive Health and Wellness Management in the Heart of the City, pp. 48–56. : Designing for the human experience in smart environments.

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