2008 Virtual Rehabilitation 2008
DOI: 10.1109/icvr.2008.4625147
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Virtual environments increase participation of children with cerebral palsy in robot-aided treadmill training

Abstract: Virtual environments increase participation of children with cerebral palsy in robot-aided treadmill training Virtual environments increase participation of children with cerebral palsy in robot-aided treadmill training Abstract Virtual environments can make repetitive motor rehabilitation exercises more motivating and thereby more effective. We hypothesize that participation-dependent multimodal stimuli increase the patientpsilas activity as expressed through force exertion during robot-aided treadmill traini… Show more

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Cited by 17 publications
(8 citation statements)
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“…When the opponent was more than 1.68 m behind the avatar, the opponent was not visible on the VR screen. In our previous study [ 20 ], we were able to show increased mean biofeedback values for the time when the opponent was visible and decreased values for the time the opponent was not visible. Therefore, we assume that a constant competitive situation could serve as an additional motivational factor.…”
Section: Methodsmentioning
confidence: 76%
“…When the opponent was more than 1.68 m behind the avatar, the opponent was not visible on the VR screen. In our previous study [ 20 ], we were able to show increased mean biofeedback values for the time when the opponent was visible and decreased values for the time the opponent was not visible. Therefore, we assume that a constant competitive situation could serve as an additional motivational factor.…”
Section: Methodsmentioning
confidence: 76%
“…Physical rehabilitation is an essential treatment for survivors, but many users never complete their rehabilitation process. For a successful rehabilitation, it is important to maintain the user’s motivation [ 4 , 5 , 6 , 7 ]. Some experts suggest that outcomes can be more favorable when users emulate desirable exercises.…”
Section: Introductionmentioning
confidence: 99%
“…Biofeedback values recorded during the training sessions could not be compared directly, as we needed to re-adjust the Lokomat parameter settings between recordings, leading to biofeedback values of different magnitude for the same level of activity [12].…”
Section: A Speed Adaptation Algorithmmentioning
confidence: 99%
“…These control strategies recognize the movement intention of the patient and adapt the robotic assistance according to the patient's force contribution to the walking process [11]. Furthermore, virtual environments are used as they have proven to make repetitive rehabilitation exercises more motivating [12].…”
Section: Introductionmentioning
confidence: 99%