Next Article in Journal
Performance Improvement of Receivers Based on Ultra-Tight Integration in GNSS-Challenged Environments
Next Article in Special Issue
Design of a Wireless Sensor Network Platform for Tele-Homecare
Previous Article in Journal
Capability for Fine Tuning of the Refractive Index Sensing Properties of Long-Period Gratings by Atomic Layer Deposited Al2O3 Overlays
Previous Article in Special Issue
Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes
Open AccessArticle

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.
Sensors 2013, 13(12), 16384-16405;
Received: 22 September 2013 / Revised: 7 November 2013 / Accepted: 19 November 2013 / Published: 29 November 2013
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. View Full-Text
Keywords: wireless sensor networks; Ambient Assisted Living; arrhythmia detection algorithm wireless sensor networks; Ambient Assisted Living; arrhythmia detection algorithm
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.

Show more citation formats Show less citations formats

Article Access Map

Only visits after 24 November 2015 are recorded.
Back to TopTop