Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network
July 11, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ibrahim Almarashdeh, Mutasem K. Alsmadi, Tamer Farag, Abdullah S. Albahussain, Usama A Badawi, Njoud Altuwaijri, Hala Almaimoni, Fatima Asiry, Shahad Alowaid, Muneerah Alshabanah, Daniah Alrajhi, Amirah Al Fraihet, Ghaith Jaradat
arXiv ID
1908.03518
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY,
eess.SP
Citations
52
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Elderly chronic diseases are the main cause of death in the world, accounting 60% of all death. Because elderly with chronic diseases at the early stages has no observed symptoms, and then symptoms starts to appear, it is critical to observe the symptoms as early as possible to avoid any complication. This paper presents an expert system for an Elderly Health Care (EHC) at elderly home tailored for the specific needs of Elderly. The proposed EHC aims to develop an integrated and multidisciplinary method to employ communication technologies and information for covering real health needs of elderly people, mainly of people at high risk due to social and geographic isolation in addition to specific chronic diseases. The proposed EHC provides personalized intervention plans covering chronic diseases such as (body temperature (BT), blood pressure (BP), and Heart beat rate (HR)). The processes and architecture of the proposed EHC are based on the server side and three main clients, one for the elderly and another two for the nurse and the physicians whom take care of them. The proposed EHC model is discussed for proving the usefulness and effectiveness of the expert system.
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