Improved gait parameters after robotic‐assisted locomotor treadmill therapy in a 6‐year‐old child with cerebral palsy

Borggraefe, Ingo; Meyer-Heim, Andreas; Kumar, Anita; Schaefer, Jan Simon; Berweck, Steffen; Heinen, Florian

doi:10.1002/mds.21802

Cited by 64 publications

(31 citation statements)

References 15 publications

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“…Previous studies suggested promising effects in walking ability, endurance and lower extremity function in patients with different neurological disorders such as stroke [4][5][6][7], spinal cord injuries (SCI) [8][9][10][11], traumatic brain injuries (TBI) [12], multiple sclerosis (MS) [13], and cerebral palsy (CP) in childhood and adolescence [14,15]. A recent review on electromechanical-assisted gait training for walking after stroke has shown significant increases in walking ability and walking capacity [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of robot-assisted gait training using integrated biofeedback in neurologic disorders

et al. 2012

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Section: Introductionmentioning

confidence: 99%

Evaluation of robot-assisted gait training using integrated biofeedback in neurologic disorders

et al. 2012

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“…Robot-assisted gait training with the driven gait orthosis Lokomat was shown to be an effective way of restoring walking ability in patients with neurological gait disorders due to stroke [6], [7], incomplete spinal cord injury [8]- [11], multiple sclerosis [12], and in children with cerebral palsy [13], [14]. The main advantage of mechanized gait training in comparison to manually assisted gait training or conventional physical therapy is that the therapist is relieved from the high physical strain when guiding the legs and stabilizing the body of the patient.…”

Section: Discussionmentioning

confidence: 99%

“…To increase the spatial precision of the movement, the mechanical impedance of the linear drives is high. The feasibility and effectiveness of training programs with the DGO Lokomat were shown in subjects having suffered stroke [6], [7], incomplete spinal cord injury [8]- [11], multiple sclerosis [12], and in children with cerebral palsy [13], [14]. A clear advantage of training with the DGO Lokomat-as well as with other gait training devices-is that the therapist is relieved from the physical strain of manually guiding the patients' legs or stabilizing the patient's torso [6].…”

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confidence: 99%

A Method of Estimating the Degree of Active Participation During Stepping in a Driven Gait Orthosis Based on Actuator Force Profile Matching

Banz

Bolliger

Müller

et al. 2009

IEEE Trans. Neural Syst. Rehabil. Eng.

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A method of estimating the degree of active participation during stepping in a driven gait orthosis based on actuator force profile matching Banz, R; Bolliger, M; Muller, S; Santelli, C; Riener, R Banz, R;Bolliger, M;Muller, S; Santelli, C; Riener, R (2009) A method of estimating the degree of active participation during stepping in a driven gait orthosis based on actuator force profile matching AbstractVisual biofeedback with information about the patients' degree of activity is a valuable adjunct to robot-assisted gait training as means of increasing the motivation and participation of the patients during highly repetitive training sessions. In the driven gait orthosis (DGO) Lokomat, an estimation of the patient's activity level was based on man-machine interaction forces as measured at the hip and knee actuators of the exoskeletal device. In an early approach, theoretical assumptions about the expected man-machine interaction forces, due to the varying behavior of the patients, were formulated for the calculation of quantitative biofeedback. In contrast to this theory-based approach, we have developed a novel method where the biofeedback calculations were based on measured reference man-machine interaction force profiles of healthy subjects when walking with different degrees of activity. To account for intrasubject and intersubject variability, reference force profiles were processed in a model to generate multiple force profiles describing each activity state. To estimate the activity of a subject walking in the DGO, the man-machine interaction force profile was measured, matched to each of the generated force profiles, and the best fitting profile of the different activity states was identified by the smallest Euclidian distance, respectively. By calculating the difference between these Euclidian distances, a quantitative estimate of the patient's degree of activity was obtained. The novel method was evaluated and compared to the conventional approach in a study with 18 healthy subjects. This comparison showed that the novel method was more reliable in detecting different activity states and is, therefore, a promising approach for future biofeedback systems. Abstract-Visual biofeedback with information about the patients' degree of activity is a valuable adjunct to robot-assisted gait training as means of increasing the motivation and participation of the patients during highly repetitive training sessions. In the driven gait orthosis (DGO) Lokomat, an estimation of the patient's activity level was based on man-machine interaction forces as measured at the hip and knee actuators of the exoskeletal device. In an early approach, theoretical assumptions about the expected man-machine interaction forces, due to the varying behavior of the patients, were formulated for the calculation of quantitative biofeedback. In contrast to this theory-based approach, we have developed a novel method where the biofeedback calculations were based on measured reference man-machine interaction force profiles of healthy subject...

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“…One way to combine rehabilitation and engage the child in the activity is through games, where the child must perform rehabilitative actions (such as stretching, grasping etc) in order to win. It has been proven that game or virtual reality activities not only help engage the children but also actually improve their motor skills [4,5]. Moreover, some studies suggest that children with CP might have a risk of getting worse due to musculoskeletal growth [19,9], emphasizing the need for rehabilitation for children.…”

Section: Cerebral Palsymentioning

confidence: 99%

A game system for remote rehabilitation of cerebral palsy patients

Papangelis

Mouchakis

Texas³

et al. 2012

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

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Cerebral Palsy (CP) is a condition that affects many people and causes paralysis or disability due to brain dysfunctions. Though incurable, physical rehabilitation has proven to improve the patients' quality of life. Some of them, however, may need extra motivation to go through the rehabilitation process. Thus, to engage them in rehabilitative actions, video games, virtual reality games and robots that combine rehabilitation with play have been developed. We propose a game system targeted for rehabilitation of young CP patients and a graphical Event Recognition (ER) Authoring Tool with which a therapist can define ER rules that allow monitoring the rehabilitation progress of a patient and adjusting the therapy accordingly. Our aim is to develop a remote CP rehabilitation platform, that combines rehabilitative actions with play and employs inexpensive, off the shelf technologies that can be used with minimal supervision. This platform is targeted both at young CP patients and also therapists.

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Improved gait parameters after robotic‐assisted locomotor treadmill therapy in a 6‐year‐old child with cerebral palsy

Cited by 64 publications

References 15 publications

Evaluation of robot-assisted gait training using integrated biofeedback in neurologic disorders

Evaluation of robot-assisted gait training using integrated biofeedback in neurologic disorders

A Method of Estimating the Degree of Active Participation During Stepping in a Driven Gait Orthosis Based on Actuator Force Profile Matching

A game system for remote rehabilitation of cerebral palsy patients

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