Feasibility of Submaximal Force Control Training for Robot–Mediated Therapy After Stroke

Abstract

This paper explores the usefulness of features extracted from video-oculographic recordings for the discrimination of Parkinson's disease. Experiments are performed on a dataset containing eye tracking registers of age-paired parkinsonian and control subjects during a visual exploration task. The total saccadic excursion-measuring the extent of the exploration area-and the number of saccades are employed to differentiate between populations. In particular, the total saccadic excursion achieved an area under the ROC curve of 0.98, indicating that parkinsonian and control subjects differ in terms of the extension of exploration during the proposed visualization task. These preliminary results suggest the appropriateness of using video-oculography to analyze Parkinson's disease, and the potentiality of signal processing techniques for automatic detection labors.

Noninvasive Modalities Used in Spinal Cord Injury Rehabilitation

“…In this regard, a scheme for "symbiotic interaction" between humans and WRs has been recently developed in the FET Project BioMot (FP7-ICT-2013-10-611695), yielding new technologies to interface human neuromechanics with robot-control algorithms to guide assistance; the point of increasing their proficiency is to make them more capable of sophisticated interdependent joint activity with the human wearer. Under this approach, a tacit adaptability is provided to modulate the compliance in the robot torque controller, to automatically modulate in turn the difficulty of the task [66].…”