Accelerometer sensor module and fall detection monitoring system based on wireless sensor network for e-health applications

Telemedicine Journal and E-health : the Official Journal of the American Telemedicine Association
Y K Lee, Myoungho Lee

Abstract

This research implements a wireless accelerometer sensor module and an algorithm to determine an individual's posture, activity, and fall. An analog wireless, two-axis accelerometer sensor module was used. Using a wireless radiofrequency module, the accelerometer signal is displayed on a PC-based "Acceloger" (e-Digitalmed, Seoul, Korea) viewer program. The activities of daily living algorithm uses the AC components of the accelerometer signal to determine posture, activity, and fall, and posture while standing, sitting, lying, walking, running, and so on is determined by the DC component. The performance of 30 subjects was evaluated by assessing the algorithm and calculating the detection rate for postures, motions, and subjects. Using a wireless sensor network in an experimental space, subject's postures, motions, and fall monitoring system was implemented. In conclusion, this system can be applied to patients such as the elderly for activity monitoring and fall detection and also for sports athlete's exercise measurement and pattern analysis.

References

Mar 1, 1997·IEEE Transactions on Bio-medical Engineering·C V BoutenJ D Janssen
Oct 3, 1999·Medical & Biological Engineering & Computing·K AminianM Depairon
Jun 20, 2003·IEEE Transactions on Bio-medical Engineering·Bijan NajafiPhilippe Robert

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Citations

Nov 26, 2013·Zeitschrift für Gerontologie und Geriatrie·L SchwickertUNKNOWN FARSEEING Consortium and the FARSEEING Meta Database Consensus Group
Sep 25, 2014·Disability and Rehabilitation. Assistive Technology·Kirsten K B PeetoomLuc P De Witte
Jan 11, 2014·Journal of Geriatric Physical Therapy·Shomir ChaudhuriGeorge Demiris

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