DocumentCode :
1889151
Title :
Telemedicine assessment of fall risk using wireless sensors
Author :
Allen, Ben ; Derveloy, R. ; Fell, N. ; Gasior, W. ; Yu, Guanding ; Sartipi, M.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Tennessee at Chattanooga, Chattanooga, TN, USA
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
245
Lastpage :
247
Abstract :
We present an approach to wearable sensor-based assessment of fall risk for post stroke patients. The goal is to use inertial measurement unit to automate the fall risk estimation of the functional reach test. In this paper, we present the current stage of our system, including the proposed Event Scoring technique for detecting events such as shuffling and taking steps during the test. The system is also equipped with our proposed signal processing tools for measuring the patient´s balance. The proposed system is delivered as an application (App) running on our hardware system consisting of two bluetooth low energy modular sensor devices and a smart phone. This system has been extensively tested using emulated and real data from Physical Therapy students as well as stroke patients.
Keywords :
Bluetooth; medical signal processing; patient treatment; smart phones; telemedicine; wireless sensor networks; Bluetooth low energy modular sensor devices; event detection; event scoring technique; fall risk estimation; functional reach test; hardware system; inertial measurement unit; patient balance measurement; physical therapy students; post stroke patients; signal processing tools; smart phone; telemedicine assessment; wearable sensor-based assessment; wireless sensors; Accelerometers; Estimation; Gyroscopes; Medical treatment; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013 10th Annual IEEE Communications Society Conference on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/SAHCN.2013.6644987
Filename :
6644987
Link To Document :
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