Design of a Wireless Sensor Network Platform for Tele-Homecare

Abstract

The problem of an ageing population has become serious in the past few years as the degeneration of various physiological functions has resulted in distinct chronic diseases in the elderly. Most elderly are not willing to leave home for healthcare centers, but caring for patients at home eats up caregiver resources, and can overwhelm patients' families. Besides, a lot of chronic disease symptoms cause the elderly to visit hospitals frequently. Repeated examinations not only exhaust medical resources, but also waste patients' time and effort. To make matters worse, this healthcare system does not actually appear to be effective as expected. In response to these problems, a wireless remote home care system is designed in this study, where ZigBee is used to set up a wireless network for the users to take measurements anytime and anywhere. Using suitable measuring devices, users' physiological signals are measured, and their daily conditions are monitored by various sensors. Being transferred through ZigBee network, vital signs are analyzed in computers which deliver distinct alerts to remind the users and the family of possible emergencies. The system could be further combined with electric appliances to remotely control the users' environmental conditions. The environmental monitoring function can be activated to transmit in real time dynamic images of the cared to medical personnel through the video function when emergencies occur. Meanwhile, in consideration of privacy, the video camera would be turned on only when it is necessary. The caregiver could adjust the angle of camera to a proper position and observe the current situation of the cared when a sensor on the cared or the environmental monitoring system detects exceptions. All physiological data are stored in the database for family enquiries or accurate diagnoses by medical personnel.

All-IP wireless sensor networks for real-time patient monitoring

“…This architecture uses the WSN technology to assist the seamless integration of diverse e-Health services. Chung et al [9] use sensor nodes to collect users' physiological signs data, and then via the sensor network these data are transferred to computers for analysis. In this system, all physiological data are stored in a database for family inquiries or accurate diagnoses by medical personnel.…”

“…However, the traditional WSN is data-centric, and it is a sensor node that takes the initiative in sending data to a sink which aggregates data and then forwards the aggregated data to a computer for later analysis [9,10]. For example, when a sensor node senses changes in vital signals, such as heart rate and blood oxygen levels, it takes the initiative in sending these abnormal data to a computer in the emergency for diagnoses.…”

A multivariable ANFIS model for sEMG based remote control system

“…APMServ 5.2.6 is an Apache has a graphical interface fleetly 2.2.9, PHP 5.2.6, MySQL 5.1.28 & 4.0.26, Nginx 0.7.19, Memcached pathogen, phpMyAdmin 2.11.9.2, OpenSSL, SQLite, ZendOptimizer, as well as the ASP, CGI, Perl web server platform [13]. In this paper, the APMServ works at servicer's IP 192.168.103.6 as a host computer.…”

Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities

“…Given these capabilities, WSN have recently stood out as a platform on which to deploy different kinds of important smart city applications [3,4], such as power systems [5,6], transportation and roadside applications [7,8], healthcare [9,10], and air pollution monitoring [11]. Figure 1 presents the various kinds of application using WSN deployment in smart cities.…”