Title: A ZigBee-based elderly health monitoring system: design and implementation
Authors: Mir Sajjad Hussain Talpur; Wang Liu; Guojun Wang
Addresses: School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, China ' School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, China ' School of Information Science and Engineering, Central South University, Changsha, Hunan Province, 410083, China
Abstract: Internet of Things and its associated innovative technologies such as ZigBee, wireless sensor network, radio frequency identification, smart technologies (robotics), distributed databases and energy saving technologies have huge potentials in remote healthcare monitoring system and medical services to augment aging citizens' living style, safety, healthcare services and also reshape the future of our healthcare environments. This paper explores the intended system to achieve elderly health monitoring system. The designed system obtains, transmits, stores and analyses the elderly physiological conditions for healthcare providers exactly in real time intrusive or non-intrusively through tiny human wearable multi-hop sensor network. Hence collaborative remote healthcare services to identify common or critical health problems, sickness symptoms and remote diagnosis. It also provides supportive healthcare service with indigenous assimilation and booming out efficient service to prevent chronic disease and edifice a robust elderly healthcare monitoring system with appraisal, inspiration and assurance, etc. It guarantees the elderly life of integrated care and comprehensive remote health information management. The proposed system primarily depends on Internet of Things, ZigBee, wireless sensor network, body sensors, web applications and databases.
Keywords: Internet of Things; IoT; WSN; wireless sensor networks; remote monitoring; remote diagnosis; health information platforms; HIP; ZigBee terminals; elderly health monitoring; old people; healthcare technology; physiological condition; wearable computers; body sensors; web applications; databases; e-healthcare; electronic healthcare.
DOI: 10.1504/IJAACS.2014.067243
International Journal of Autonomous and Adaptive Communications Systems, 2014 Vol.7 No.4, pp.393 - 411
Received: 16 Feb 2013
Accepted: 25 Apr 2013
Published online: 14 Feb 2015 *