Response to upper-limb robotics and functional neuromuscular

Daly, Janis J.; Hogan, Neville; Perepezko, E.; Krebs, Hermano Igo; Rogers, Jean; Goyal, Kanu S.; Dohring, Mark; Fredrickson, Eric K.; Nethery, Joan; Ruff, Robert L.

doi:10.1682/jrrd.2005.02.0048

Cited by 156 publications

(122 citation statements)

References 40 publications

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“…The jerk index is defined in terms of the time derivative of acceleration [29,30]. It quantifies movement smoothness and has been calculated in multiple ways [30].…”

Section: Discussionmentioning

confidence: 99%

“…Four trials were collected in each condition and motion data were used to calculate the following kinematics for his hemiparetic shoulder and wrist movements: excursion, movement duration, mean velocity, and peak velocity [19,28]. The jerk index was also calculated as a measure of change in movement smoothness [29,30]. Hemiparetic arm function was reassessed clinically postintervention with theFugl-Meyer.…”

Section: Case Description and Outcome Measuresmentioning

confidence: 99%

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Reaching, Swinging, and Punching: Kinematic Change after Video Gaming Intervention in an Individual with Chronic Stroke

Srinivasan¹

2013

J Nov Physiother

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“…The jerk index is defined in terms of the time derivative of acceleration [29,30]. It quantifies movement smoothness and has been calculated in multiple ways [30].…”

Section: Discussionmentioning

confidence: 99%

Section: Case Description and Outcome Measuresmentioning

confidence: 99%

Reaching, Swinging, and Punching: Kinematic Change after Video Gaming Intervention in an Individual with Chronic Stroke

Srinivasan¹

2013

J Nov Physiother

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“…Movement smoothness has been used to determine motor performance of healthy indiv iduals [30] and persons who have suffered stroke [17,21,22,31]. Smoothness measures are often based on min imu m jerk (third time derivative of position) or snap (fourth time derivative of position) as introduced by [32,33] respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Optimally s mooth velocity profiles can accurately represent discrete movements of the wrist [17,18], forearms [19] and arm [20]. The formu lation developed by [21] that was also used by [17,22] was adopted for movement smoothness calculations. The velocity profile of the subject was derived fro m the angular velocity of the subject's movements.…”

Section: Primary Measures Of Interestmentioning

confidence: 99%

RiceWrist Robotic Device for Upper Limb Training: Feasibility Study and Case Report of Two Tetraplegic Persons with Spinal Cord Injury

Kadivar¹,

Sullivan²,

Eng³

et al. 2012

IJBE

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Regaining upper extremity function is the primary concern of persons with tetraplegia caused by spinal cord injury (SCI). Robotic rehabilitation has been inadequately tested and underutilized in rehabilitation of the upper extremity in the SCI population. Given the acceptance of robotic train ing in stroke rehabilitation and SCI gait training, coupled with recent evidence that the spinal cord, like the brain, demonstrates plasticity that can be enhanced by repetitive movement training such as that available with robotic devices, it is probable that robotic upper ext remity train ing of persons with SCI could be clin ically beneficial. The primary goal of th is pilot study was to test the feasibility of using a novel robotic device -the RiceWrist Exoskeleton-for rehabilitation of the upper limbs (UL) of t wo tetraplegic persons with inco mplete SCI. Two pilot experiments were conducted. Experiment 1was the first novel attempt to admin ister treatment with the RiceWrist. The left UL of a tetraplegic subject was treated during seven therapy sessions. The subject's feedback and the investigator's observations were used to enhance the robotic device and the corresponding graphical-interface. In Experiment 2, a second tetraplegic subject underwent 10 three-hour train ing sessions admin istered by a physical therapist. Smoothness factor (F S ) -a new measure developed in Experiment 1-was used as the primary outcome to test the subject's performance before and after the training. The RiceWrist was modified accord ing to the feedback obtained in Experiment 1. Thereafter, the device was successfully administered for upper limb training of the tetraplegic individual. Noticeable improvements in F S were observed for the stronger arm of the subject who co mpleted 10 sessions of train ing. Improvements were also observed in the subject's hand according to the Jebsen-Taylor Hand Function Test. Results fro m this study suggest a potential application of the RiceWrist for rehabilitation of SCI individuals and offer valuable in formation regard ing development of UL robotic devices for this population.

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“…A few studies have used devices aimed at improving motor function in the wrist, including the Hand Wrist Assistive Rehabilitation Device [106] and the InMotion3 robot (Interactive Motion Technologies, Inc; Boston, Massachusetts) [107]. Some studies have combined functional electrical stimulation [108][109] or transcranial magnetic stimulation [110] with robotic therapy in attempts to improve outcomes. One study has examined trying to improve proprioception following stroke [111].…”

Section: Use Of Robots For Rehabilitationmentioning

confidence: 99%

Potential of robots as next-generation technology for clinical assessment of neurological disorders and upper-limb therapy

Scott¹,

Dukelow²

2011

JRRD

161

118

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Abstract-Robotic technologies have profoundly affected the identification of fundamental properties of brain function. This success is attributable to robots being able to control the position of or forces applied to limbs, and their inherent ability to easily, objectively, and reliably quantify sensorimotor behavior. Our general hypothesis is that these same attributes make robotic technologies ideal for clinically assessing sensory, motor, and cognitive impairments in stroke and other neurological disorders. Further, they provide opportunities for novel therapeutic strategies. The present opinionated review describes how robotic technologies combined with virtual/augmented reality systems can support a broad range of behavioral tasks to objectively quantify brain function. This information could potentially be used to provide more accurate diagnostic and prognostic information than is available from current clinical assessment techniques. The review also highlights the potential benefits of robots to provide upper-limb therapy. Although the capital cost of these technologies is substantial, it pales in comparison with the potential cost reductions to the overall healthcare system that improved assessment and therapeutic interventions offer.

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Response to upper-limb robotics and functional neuromuscular

Cited by 156 publications

References 40 publications

Reaching, Swinging, and Punching: Kinematic Change after Video Gaming Intervention in an Individual with Chronic Stroke

Reaching, Swinging, and Punching: Kinematic Change after Video Gaming Intervention in an Individual with Chronic Stroke

RiceWrist Robotic Device for Upper Limb Training: Feasibility Study and Case Report of Two Tetraplegic Persons with Spinal Cord Injury

Potential of robots as next-generation technology for clinical assessment of neurological disorders and upper-limb therapy

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