TY  - CONF
ID  - scholars2606
TI  - Modular body sensor system design for plug-and-play monitoring system
SN  - 9781467331197
Y1  - 2012///
EP  - 281
A1  - Subakin, M.
A1  - Hussin, F.A.
KW  - Body sensors; Complete system; Development tools; Health monitoring; Health monitoring system; Medical conditions; Modern technologies; Monitoring system; Physiological monitoring; Plug-and-play; Plug-and-play systems; Root cause; Sensor modules
KW  -  Diagnosis; Patient monitoring; Physiology; Sensors; Sustainable development
KW  -  Research
N1  - cited By 0; Conference of 2012 IEEE International Conference on Circuits and Systems: ""Advanced Circuits and Systems for Sustainability"", ICCAS 2012 ; Conference Date: 3 October 2012 Through 4 October 2012; Conference Code:95594
SP  - 276
N2  - Digital physiological monitoring is rapidly expanding day to day. Multiple types of sensors with unique specifications are designed to improve physiological monitoring. Many health problems can be detected in the early stages using this modern technology. To achieve this, many researchers around the world are doing some form of research in improving the health in general. In some cases, the root cause is unknown and in others the onset of a certain medical condition is important to be recognized. To do this, researchers build their own health monitoring system; this can be time consuming and takes away researchers time from doing the really needed tasks such as identifying and diagnosing the types of illness. Therefore, this paper illustrates a plug-and-play development tool for medical physiological monitoring that can easily be deployed for various health monitoring applications. Using modular plug and play system, the researchers do not have to spend weeks or months to design the complete system. The proposed system provides for a quick integration of many sensor modules with minor effort. © 2012 IEEE.
CY  - Kuala Lumpur
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873956846&doi=10.1109%2fICCircuitsAndSystems.2012.6408278&partnerID=40&md5=febfc6bd91eff60e422d6dd84a2f83cf
AV  - none
ER  -