Title :
Quantifying Timed-Up-and-Go test: A smartphone implementation
Author :
Milosevic, Mladen ; Jovanov, Emil ; Milenkovic, Aleksandar
Author_Institution :
Electrical and Computer Engineering Department, The University of Alabama in Huntsville, Huntsville, AL, U.S.A.
Abstract :
Timed-Up-and-Go (TUG) is a simple, easy to administer, and frequently used test for assessing balance and mobility in elderly and people with Parkinson´s disease. An instrumented version of the test (iTUG) has been recently introduced to better quantify subject´s movements during the test. The subject is typically instrumented by a dedicated device designed to capture signals from inertial sensors that are later analyzed by healthcare professionals. In this paper we introduce a smartphone application called sTUG that completely automates the iTUG test so it can be performed at home. sTUG captures the subject´s movements utilizing smartphone´s built-in accelerometer and gyroscope sensors, determines the beginning and the end of the test and quantifies its individual phases, and optionally uploads test descriptors into a medical database. We describe the parameters used to quantify the iTUG test and algorithms to extract the parameters from signals captured by the smartphone sensors.
Keywords :
Accelerometers; Angular velocity; Gyroscopes; Instruments; Monitoring; Parkinson´s disease; Sensors; Parkinson´s disease; health monitoring; mobile computing; mobile sensing; mobility assessment; timed-up-and-go test;
Conference_Titel :
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location :
Cambridge, MA, USA
Print_ISBN :
978-1-4799-0331-3
DOI :
10.1109/BSN.2013.6575478