Intelligent Body Sensor Network for Pervasive Health Monitoring: A Survey

2012 ◽  
Vol 1 (1) ◽  
pp. 67-81 ◽  
Author(s):  
Anindita Ray ◽  
Debashis De
2011 ◽  
Vol 217-218 ◽  
pp. 1075-1080
Author(s):  
Yun Dong Xuan ◽  
Zhan Zhao ◽  
Zhen Fang ◽  
Dao Qu Geng ◽  
Yao Hong Shi

The development of Micro-ElectroMechanical Systems ,integrated circuits, wireless communications have resulted in the creation of miniature, ultra-low power, and wearable health monitoring system. The system can be defined as a Body Sensor Network that can be embedded in the user’s outfit as a part of the clothing .This 3ACare system is a wearable health monitoring and alert system which can give anyone health care at anytime and anywhere. The system continuously collects multiple vital signs by physiological sensors and evaluates the signs in a personal server such as a PDA. And the personal server transfers the data to a medical server center by 3G net or Internet. The doctor in the medical server center will give the patients message after they diagnosed the data.The paper describes the architecture of 3ACare and the details of the wireless body sensor network (WBSN) nodes and the test result.


2015 ◽  
Vol 03 (02) ◽  
pp. 163-169
Author(s):  
Lianying Ji ◽  
Tongbi Kang ◽  
Lingtong Tian ◽  
Meijun Xiong ◽  
Wendong Xiao ◽  
...  

A body sensor network system has been developed for ubiquitous health monitoring of multiple mobile subjects, which is referred to as UbiHealth. On the body, there are micro-sensors to capture physiological signals of electrocardiography (ECG), blood pressure, respiration and temperature, as well as context information of activity and position. Sensors are coordinated by an on-body gateway, where data are collected, pre-processed and wirelessly sent to the server. The server receives, stores and processes signals from multiple gateways, providing overview of those subjects on a local map, and real-time health status of individual subjects. The application scenarios include, for example, health monitoring for rescue team members in a hazard, and elderly health monitoring in a community.


2017 ◽  
Vol 129 ◽  
pp. 548-571 ◽  
Author(s):  
Ahmed Harbouche ◽  
Noureddine Djedi ◽  
Mohammed Erradi ◽  
Jalel Ben-Othman ◽  
Abdellatif Kobbane

2008 ◽  
Vol 47 (03) ◽  
pp. 229-234 ◽  
Author(s):  
A. Triantafyllidis ◽  
V. Koutkias ◽  
I. Chouvarda ◽  
N. Maglaveras

Summary Objectives: Sensor networks constitute the backbone for the construction of personalized monitoring systems. Up to now, several sensor networks have been proposed for diverse pervasive healthcare applications, which are however characterized by a significant lack of open architectures, resulting in closed, non-interoperable and difficult to extend solutions. In this context, we propose an open and reconfigurable wireless sensor network (WSN) for pervasive health monitoring, with particular emphasis in its easy extension with additional sensors and functionality by incorporating embedded intelligence mechanisms. Methods: We consider a generic WSN architecture comprised of diverse sensor nodes (with communication and processing capabilities) and a mobile base unit (MBU) operating as the gateway between the sensors and the medical personnel, formulating this way a body area network (BAN). The primary focus of this work is on the intra-BAN data communication issues, adopting SensorML as the data representation mean, including the encoding of the monitoring patterns and the functionality of the sensor network. Results: In our prototype implementation two sensor nodes are emulated; one for heart rate monitoring and the other for blood glucose observations, while the MBU corresponds to a personal digital assistant (PDA) device. Java 2 Micro Edition (J2ME) is used to implement both the sensor nodes and the MBU components. Intra-BAN wireless communication relies on the Bluetooth protocol. Via an adaptive user interface in the MBU, health professionals may specify the monitoring parameters of the WSN and define the monitoring patterns of interest in terms of rules. Conclusions: This work constitutes an essential step towards the construction of open, extensible, inter - operable and intelligent WSNs for pervasive health monitoring.


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