DocumentCode :
109427
Title :
Test–Retest Reliability of Robotic Assessment Measures for the Evaluation of Upper Limb Recovery
Author :
Colombo, Riccardo ; Cusmano, Ivana ; Sterpi, Irma ; Mazzone, Alessandra ; Delconte, Carmen ; Pisano, Fabrizio
Author_Institution :
IRCCS, Service of Bioeng., Salvatore Maugeri Found., Pavia, Italy
Volume :
22
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1020
Lastpage :
1029
Abstract :
Rehabilitation robots have built-in technology and sensors that allow accurate measurement of movement kinematics and kinetics, which can be used to derive measures related to upper limb performance and highlight changes in motor behavior due to rehabilitation. This study aimed to assess the test-retest reliability of some robot-measured parameters by analyzing their intra-session and inter-session (day-by-day) variability. The study was carried out in two groups: 31 patients after stroke and 15 healthy subjects. Both groups practiced two different motor tasks consisting of point-to-point reaching movements in the shape of two geometrical figures that were selected for the assessment of global and directional (eight directions of the workspace) test-retest reliability. The reliability of six parameters measuring movement velocity, accuracy, efficiency and smoothness was assessed intra-session and inter-session by the ICC, SEM, and CV. Healthy subjects exhibited very high ICC values ( > 0.85) and low SEM for all parameters. Patients had high ICC values and low SEM but their global reliability was generally lower compared to healthy subjects. In addition, their inter-session reliability showed very high ICC values ( > 0.91) and low SEM for all parameters. Direction analysis showed that in some parameters the reliability was generally high but not homogeneous in all directions. In addition, some directions showed systematic error. This study demonstrates that robot-measured parameters are reliable and can be considered ideal candidates for use in combination with impairment and functional clinical scales to evaluate motor improvement during robot-assisted neurorehabilitation.
Keywords :
biomechanics; biomedical measurement; correlation methods; data analysis; information theory; measurement errors; medical diagnostic computing; medical disorders; medical robotics; neurophysiology; patient rehabilitation; reliability; statistical analysis; variational techniques; CV method; ICC method; SEM method; built-in sensors; built-in technology; day-by-day variability analysis; direction analysis; directional test-retest reliability assessment; functional clinical scales; geometrical figures; global test-retest reliability assessment; impairment clinical scales; intersession variability analysis; intrasession variability analysis; motor behavior changes; motor improvement evaluation; motor tasks; movement accuracy parameter reliability; movement efficiency parameter reliability; movement kinematics measurement; movement kinetics measurement; movement smoothness parameter reliability; movement velocity parameter reliability; point-to-point reaching movements; rehabilitation robots; robot-assisted neurorehabilitation; robot-measured parameter reliability; robotic assessment measures; shape selection; stroke patients; systematic error; upper limb performance measures; upper limb recovery evaluation; workspace directions; Power measurement; Reliability; Robot sensing systems; Standards; Systematics; Training; Motor assessment; neurorehabilitation; reliability; robot measures; stroke;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2014.2306571
Filename :
6746124
Link To Document :
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