Palaska, Y. | Erdogan, H. | Ekenel, H.K. | Masazade, E. | Barkana, D.E.

Conference Object | 2017 | Canadian Conference on Electrical and Computer Engineering

Investigation into robot-assisted rehabilitation systems, and robot-assisted systems that are capable of detecting patient's emotions and then modifying the rehabilitation task to better suit the patients' abilities by taking account their emotions have gained momentum in recent years. In this paper, our aim is to distinguish whether the subject is under-challenged or over-challenged using psychophysiological signal data collected from biofeedback sensors while executing the tasks with RehabRoby. Initially, features are extracted from the physiological signals (Blood Volume Pulse (BVP), Skin Conductance (SC), and Skin Temperature (S . . .T)). The extracted features are examined in terms of their contribution to the classification of the overstressed/over-challenged, boredom/under-challenged using variance analysis (ANOVA). The most significant features are selected, and various classification methods are used to classify overstressed/over-challenged, boredom/under-challenged. © 2017 IEEE Daha fazlası Daha az

Wang, F. | Barkana, D.E. | Sarkar, N.

Conference Object | 2009 | 2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 , pp.463 - 468

This paper presents an approach to enhance an assistive controller, which has been designed for robotic rehabilitation of the upper extremity after stroke, with an error augmentation training method. The assistive controller provides robotic assistance to the participant as and when needed, while position errors that are visually fed back to the participant are amplified to heighten the participant's motivation to improve tracking accuracy. Experimental results on unimpaired participants are presented to demonstrate the efficacy of the enhanced assistive controller. ©2009 IEEE.

Erol, D. | Sarkar, N.

Conference Object | 2008 | ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and RoboticsICSO , pp.5 - 12

Recent research in rehabilitation indicates that tasks that focus on activities of daily living (ADL) is likely to show significant increase in motor recovery after stroke. Most ADL tasks require patients to coordinate their arm and hand movements to complete ADL tasks. This paper presents a new control approach for robot assisted rehabilitation of stroke patients that enables them to perform ADL tasks by providing controlled and coordinated assistance to both arm and hand movements. The control architecture uses hybrid system modelling technique which consists of a high-level controller for decision-making and two low-level assisti . . .ve controllers (arm and hand controllers) for arm and hand motion assistance. The presented controller is implemented on a test-bed and the results of this implementation are presented to demonstrate the feasibility of the proposed control architecture Daha fazlası Daha az

Wang, F. | Barkana, D.E. | Sarkar, N.

Conference Object | 2009 | 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 , pp.3555 - 3560

This paper presents the evaluation of a robot-assisted rehabilitation system with assist-as-needed and visual error augmentation training methods. In this robot-assisted rehabilitation system, an assistive controller provides robotic assistance to the participant as and when needed. In addition, the position errors that are visually fed back to the participant are amplified to heighten the participant's motivation to improve tracking accuracy. Experimental results on unimpaired participants are presented to demonstrate the efficacy of the enhanced rehabilitation robotic system. © 2009 IEEE.