DocumentCode :
2495107
Title :
Capturing whole-body mobility of patients with Parkinson disease using inertial motion sensors: Expected challenges and rewards
Author :
Rahimi, Fariborz ; DuVal, Carter ; Jog, Mandar ; Bee, C. ; South, A. ; Jog, Mandar ; Edwards, R. ; Boissy, Patrick
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5833
Lastpage :
5838
Abstract :
While many studies have reported on the use of kinematic analysis on well-controlled, in-laboratory mobility tasks, few studies have examined the challenges of recording dynamic mobility in home environments. This preliminary study evaluated whole body mobility in eleven patients with Parkinson disease (H&Y 2-4). Patients were recorded in their home environment during scripted and non-scripted mobility tasks while wearing a full-body kinematic recording system using 11 inertial motion sensors (IMU). Data were analyzed with principal component analysis (PCA) in order to identify kinematic variables which best represent mobility tasks. Results indicate that there was a large degree of variability within subjects for each task, across tasks for individual subjects, and between scripted and non-scripted tasks. This study underscores the potential benefit of whole body multi-sensor kinematic recordings in understanding the variability in task performance across patients during daily activity which may have a significant impact on rehabilitation assessment and intervention.
Keywords :
data analysis; diseases; kinematics; patient rehabilitation; principal component analysis; sensors; Parkinson disease; daily activity; data analysis; full-body kinematic recording system; home environment; inertial motion sensors; kinematic variables; nonscripted mobility tasks; principal component analysis; rehabilitation assessment; task performance; whole body multisensor kinematic recordings; whole-body patient mobility; Diseases; Joints; Legged locomotion; Monitoring; Principal component analysis; Senior citizens; Sensors; Acceleration; Actigraphy; Activities of Daily Living; Aged; Equipment Design; Equipment Failure Analysis; Humans; Male; Middle Aged; Monitoring, Ambulatory; Motor Activity; Parkinson Disease;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091443
Filename :
6091443
Link To Document :
بازگشت