This article and any supplementary material should be cited as follows: Guidali M, Keller U, Klamroth-Marganska V, Nef T, Riener R. Estimating the patient’s contribution during robot-assisted therapy. J Rehabil Res Dev. 2013;50(3):379–94. Slideshow Project DOI: /JRRD JSP Estimating the patient’s contribution during robot-assisted therapy Marco Guidali, PhD; Urs Keller, MSc; Verena Klamroth-Marganska, MD; Tobias Nef, PhD; Robert Riener, PhD
This article and any supplementary material should be cited as follows: Guidali M, Keller U, Klamroth-Marganska V, Nef T, Riener R. Estimating the patient’s contribution during robot-assisted therapy. J Rehabil Res Dev. 2013;50(3):379–94. Slideshow Project DOI: /JRRD JSP Aim – Develop methods to quantify patient’s contribution during robot-assisted therapy by combining kinematic measures and the motor assistance applied. Relevance – Assistive robots with sophisticated controllers are used in neurorehabilitation to assist and cooperate with the patient during therapy. – Difficult for patient to judge to what extent robot contributes to execution of movement.
This article and any supplementary material should be cited as follows: Guidali M, Keller U, Klamroth-Marganska V, Nef T, Riener R. Estimating the patient’s contribution during robot-assisted therapy. J Rehabil Res Dev. 2013;50(3):379–94. Slideshow Project DOI: /JRRD JSP Method Created inverse dynamic models of robot and passive human arm to: – Calculate required torques to move robot and arm. – Build, together with recorded motor torque, metric (in percentage) that represents patient’s contribution to movement. Evaluated metric with 12 nondisabled subjects and 7 patients with neurological problems.
This article and any supplementary material should be cited as follows: Guidali M, Keller U, Klamroth-Marganska V, Nef T, Riener R. Estimating the patient’s contribution during robot-assisted therapy. J Rehabil Res Dev. 2013;50(3):379–94. Slideshow Project DOI: /JRRD JSP Results Compared results with common performance metric. Estimation shows very satisfying results for both groups, even though arm model was strongly simplified.
This article and any supplementary material should be cited as follows: Guidali M, Keller U, Klamroth-Marganska V, Nef T, Riener R. Estimating the patient’s contribution during robot-assisted therapy. J Rehabil Res Dev. 2013;50(3):379–94. Slideshow Project DOI: /JRRD JSP Conclusion Displaying this metric to patients during therapy might motivate them to actively participate in training.