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Licensed Unlicensed Requires Authentication Published by De Gruyter December 2, 2014

A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities

Michael Hennes, Kai Bollue, Henry Arenbeck and Catherine Disselhorst-Klug

Abstract

Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effectively during their rehabilitation process is using end-effector-based robot-assisted rehabilitation. Such systems allow patients to use their own movement strategies to perform a movement task, which encourages them to do self-motivated training but also allow compensation movements if they have problems executing the movement tasks. Therefore, a patient supervision system was developed on the basis of inertial measurement units and a patient-tailored movement interpretation system. Very light and small inertial measurement units were developed to record the patients’ movements during a teaching phase in which the desired movement is shown to the patient by a physiotherapist. During a following exercise phase, the patient is training the previously shown movement alone with the help of an end-effector-based robot-assisted rehabilitation system, and the patient’s movement is recorded again. The data from the teaching and exercise phases are compared with each other and evaluated by using fuzzy logic tailored to each patient. Experimental tests with one healthy subject and one stroke patient showed the capability of the system to supervise patient movements during the robot-assisted end-effector-based rehabilitation.


Corresponding author: Michael Hennes, Institute of Applied Medical Engineering, Department of Rehabilitation and Prevention Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074 Aachen, Germany, Phone: +49 241 80 87235, Fax: +49 241 80 82442, E-mail:

Acknowledgments

The authors gratefully acknowledge the support of the KUKA Laboratories, Augsburg, Germany.

References

[1] Bergamo MF, Disselhorst-Klug C. Methods and instruments: methods in movement analysis quantitative evaluation of patient’s individual functional recovery after knee endoprosthesis. 23rd Congress of the International Society of Biomechanics 2011.Search in Google Scholar

[2] Bergamo F, Niethard FU, Borowski-Mashi I, Disselhorst-Klug C. Impact of additional standardized resistive training on recovery of muscular co-ordination after knee endoprosthesis. 19th Congress of the International Society of Electrophysiology and Kinesiology 2012.Search in Google Scholar

[3] Bütefisch C. Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand. J Neurol Sci 1995; 130: 59–68.10.1016/0022-510X(95)00003-KSearch in Google Scholar

[4] Kwakkel G, Kollen BJ, Krebs HI. Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair 2008; 22: 111–121.10.1177/1545968307305457Search in Google Scholar

[5] Kwakkel G, Wagenaar RC, Koelman TW, Lankhorst GJ, Koetsier JC. Effects of intensity of rehabilitation after stroke. A research synthesis. Stroke 1997; 28: 1550–1556.10.1161/01.STR.28.8.1550Search in Google Scholar

[6] Popovic N, Williams S, Schmitz-Rode T, Rau G, Disselhorst-Klug C. Robot-based methodology for a kinematic and kinetic analysis of unconstrained, but reproducible upper extremity movement. J Biomech 2009; 42: 1570–1573.10.1016/j.jbiomech.2009.03.042Search in Google Scholar

Received: 2014-2-28
Accepted: 2014-10-24
Published Online: 2014-12-2
Published in Print: 2015-6-1

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