Title :
Non-intrusive Patient Monitoring of Alzheimer´s Disease Subjects Using Wireless Sensor Networks
Author :
Avvenuti, M. ; Baker, C. ; Light, J. ; Tulpan, D. ; Vecchio, A.
Author_Institution :
Univ. di Pisa, Pisa, Italy
Abstract :
On aging there is a decrease in the cognitive functions of the brain which can result in behavioral anomalies such as wandering and susceptibility to fall, typical of patients with Alzheimer´s disease. In order to learn how to manage patients with cognitive impairment it is necessary to non-intrusively monitor brain activity in conjunction with body movements. To facilitate the translation of insights derived through wireless monitoring into robust strategies for crisis prevention and management, we provide a preliminary assessment of a patient monitoring infrastructure, and we discuss related issues and challenges.
Keywords :
biomechanics; brain; cognition; diseases; electroencephalography; neurophysiology; patient monitoring; wireless sensor networks; Alzheimer disease; aging; behavioral anomalies; body movements; brain; cognitive functions; cognitive impairment; falling; nonintrusive patient monitoring; wandering; wireless sensor networks; Alzheimer´s disease; Brain; Electroencephalography; Innovation management; Knowledge management; Patient monitoring; Privacy; Remote monitoring; Sleep; Wireless sensor networks; AD subjects; neurosensors; patient monitoring; wireless sensors;
Conference_Titel :
Privacy, Security, Trust and the Management of e-Business, 2009. CONGRESS '09. World Congress on
Conference_Location :
Saint John, NB
Print_ISBN :
978-1-4244-5344-3
Electronic_ISBN :
978-0-7695-3805-1
DOI :
10.1109/CONGRESS.2009.25
