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Wireless Sensor Networks for Ambient Assisted Living
College of Telematics, University of Colima, Avenida Universidad 333, C. P. 28045 Colima, Col., Mexico
Department of Automation and Electronics, Autonomous University of the West, C11 25# 115-85 km. 2 vía Cali-Jamundí, Colombia
* Author to whom correspondence should be addressed.
Received: 22 September 2013; in revised form: 7 November 2013 / Accepted: 19 November 2013 / Published: 29 November 2013
Abstract: This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.
Keywords: wireless sensor networks; Ambient Assisted Living; arrhythmia detection algorithm
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Cite This Article
MDPI and ACS Style
Aquino-Santos, R.; Martinez-Castro, D.; Edwards-Block, A.; Murillo-Piedrahita, A.F. Wireless Sensor Networks for Ambient Assisted Living. Sensors 2013, 13, 16384-16405.
Aquino-Santos R, Martinez-Castro D, Edwards-Block A, Murillo-Piedrahita AF. Wireless Sensor Networks for Ambient Assisted Living. Sensors. 2013; 13(12):16384-16405.
Aquino-Santos, Raúl; Martinez-Castro, Diego; Edwards-Block, Arthur; Murillo-Piedrahita, Andrés F. 2013. "Wireless Sensor Networks for Ambient Assisted Living." Sensors 13, no. 12: 16384-16405.