DocumentCode :
140861
Title :
Objective quantification of upper extremity motor functions in Unified Parkinson´s Disease Rating Scale Test
Author :
Xiaoqing Jia ; Duroseau, Nathalie ; Chan, Vincent ; Ciraco, Christina ; Rui Wang ; Nia, Sarah Mostafa ; Ho, Kayla ; Govindavari, John P. ; Delgosha, Farshid ; Chan, Thomas ; Pergament, Kathleen Mangunay ; Krishnamachari, Bhuma ; Farajidavar, Aydin
Author_Institution :
Integrated Med. Syst. (IMS) Lab., New York Inst. of Technol. (NYIT), Old Westbury, NY, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
5345
Lastpage :
5348
Abstract :
Two tri-axial accelerometers were placed on the wrists (one on each hand) of the patients with Parkinson´s disease (PD) and a non-PD control group. Subjects were asked to perform three of the upper extremity motor function tasks from the Unified Parkinson´s Disease Rating Scale (UPDRS) test. The tasks were: 1) finger tapping, 2) opening and closing of palms, and 3) pronation-supination movements of the forearms. The inertia signals were wirelessly received and stored on a computer for further off-line analysis. Various features such as range, standard deviation, entropy, time to accomplish the task, and maximum frequency present in the signal were extracted and compared. The results showed that among the studied population, “standard deviation”, “range”, “entropy”, “time” and “max frequency” are the best to worst features, respectively, to distinguish between the non-PD and PD subjects. Furthermore, using the mentioned features, it is more probable to distinguish between the non-PD and PD subjects from tasks 2 and 3 as opposed to task 1.
Keywords :
accelerometers; biomechanics; body sensor networks; diseases; entropy; feature extraction; medical signal processing; statistical analysis; telemedicine; entropy; feature extraction; finger tapping; forearm pronation-supination movements; inertia signals; palm closing; palm opening; signal extraction; standard deviation; triaxial accelerometers; unified Parkinson disease rating scale test; upper extremity motor function tasks; wrists; Accelerometers; Electronic mail; Entropy; Feature extraction; Parkinson´s disease; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944833
Filename :
6944833
Link To Document :
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