Publications by authors named "Jules P A Dewald"

One of the cardinal motor deficits that occurs after stroke is paresis, a decrease in the voluntary activation of muscles. Paresis leads to a decrease in voluntary joint strength, impacting stroke survivors' ability to perform activities of daily living (ADLs). Quantifying this decrease in voluntary activation is important when designing rehabilitation interventions to address movement impairments and restore the ability to perform ADLs.

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A common motor deficit in individuals post-stroke is altered interlimb coupling. Efforts at one extremity can cause involuntary muscle activity and movement at a different extremity. An important step in understanding interlimb coupling and developing effective treatment strategies is to have an accurate quantification of the motor behavior.

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While pediatric hemiplegia results from a unilateral lesion, the immature state of the brain at the time of injury increases the likelihood of observing changes in the non-lesioned hemisphere as well. The purpose of this preliminary study was to use diffusion tensor imaging to evaluate the contralesional corticospinal tracts in individuals with early-onset pediatric hemiplegia. Twelve individuals with pediatric hemiplegia and ten age-matched controls underwent diffusion tensor imaging (DTI).

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This paper details the design of the Wrist and Finger Torque Sensing module (WFTS): a lightweight, portable device that measures isometric wrist and finger flexion and extension joint torques. The WFTS can be used in combination with rehabilitation robots such as the ACT-3D, with isometric measurement stations, or as a stand-alone device. Because many robotic devices are limited in that they involve the hand in isolation, the WFTS is designed to investigate abnormal joint torque coupling at the paretic wrist and fingers in individuals with adult-onset stroke or childhood hemiplegia during 3D arm movements or isometric generation of shoulder and elbow torques.

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Rehabilitation robots and other controlled diagnostic devices are useful tools to objectively quantify debilitating, post-stroke impairments. The goal of this paper is to describe the design of the ACT-4D rehabilitation robot which can quantify arm impairments during functional movement. The robot can instantly switch between a compliant mode that minimizes impedance of voluntary movement, and a stiff mode that applies controlled position/speed perturbations to the elbow (up to 75 Nm or 450 deg/s at 4500 deg/s(2)).

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Robotic systems currently used in upper-limb rehabilitation following stroke rely on some form of visual feedback as part of the intervention program. We evaluated the effect of a video game environment (air hockey) on reaching in stroke with various levels of arm support. We used the Arm Coordination Training 3D system to provide variable arm support and to control the hockey stick.

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