Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network

TL;DR

This paper introduces a real-time expert healthcare system utilizing wireless sensors to monitor elderly patients' vital signs, aiming for early detection and personalized intervention for chronic diseases.

Contribution

It presents a novel integrated system combining wireless sensor networks and expert systems for continuous elderly health monitoring at home.

Findings

Effective early detection of chronic disease symptoms

Personalized intervention plans for elderly patients

System architecture supports real-time monitoring and care coordination

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.