Learning-based methods for the analysis of intralimb-coordination and adaptation of locomotor patterns in cerebellar patients

W, Ilg; Rorig, R.; Thier, Peter; Giese, Martin A.

doi:10.1109/icorr.2007.4428559

Cited by 2 publications

(4 citation statements)

References 25 publications

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“…To quantify the amount of temporal and spatial variations in the gait patterns during walking in the different conditions, we computed the spatio-temporal characteristics of the recorded trajectories according to the procedure described by Ilg et al [28]. The recorded joint angles of each condition were cut into single strides triggered by the heel strike signal of the foot switches.…”

Section: E Data Analysis 1) Experiments With Healthy Subjectsmentioning

confidence: 99%

“…The average trajectory was determined as a reference for the spatio-temporal analysis (16) Each trajectory was mapped to the reference trajectory by a spatial shift function and a time shift function (17) The values of the shift functions and were determined by optimization as described in [29]. The weighting factor for the optimization was determined according to the rules for human movement data suggested in [28].…”

Section: E Data Analysis 1) Experiments With Healthy Subjectsmentioning

confidence: 99%

“…Finally, the spatial variability and the temporal variability as defined in [28] were computed using the following equations:…”

Section: E Data Analysis 1) Experiments With Healthy Subjectsmentioning

confidence: 99%

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Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation

Duschau-Wicke

Zitzewitz

Caprez

et al. 2010

IEEE Trans. Neural Syst. Rehabil. Eng.

371

242

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Path control: a method for patient-cooperative robot-aided gait rehabilitation Abstract-Gait rehabilitation robots are of increasing importance in neurorehabilitation. Conventional devices are often criticized because they are limited to reproducing predefined movement patterns. Research on patient-cooperative control strategies aims at improving robotic behavior. Robots should support patients only as much as needed and stimulate them to produce maximal voluntary efforts. This paper presents a patient-cooperative strategy that allows patients to influence the timing of their leg movements along a physiologically meaningful path. In this "path control" strategy, compliant virtual walls keep the patient's legs within a "tunnel" around the desired spatial path. Additional supportive torques enable patients to move along the path with reduced effort. Graphical feedback provides visual training instructions. The path control strategy was evaluated with 10 healthy subjects and 15 subjects with incomplete spinal cord injury. The spatio-temporal characteristics of recorded kinematic data showed that subjects walked with larger temporal variability with the new strategy. Electromyographic data indicated that subjects were training more actively. A majority of iSCI subjects was able to actively control their gait timing. Thus, the strategy allows patients to train walking while being helped rather than controlled by the robot.

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Section: E Data Analysis 1) Experiments With Healthy Subjectsmentioning

confidence: 99%

Section: E Data Analysis 1) Experiments With Healthy Subjectsmentioning

confidence: 99%

See 1 more Smart Citation

Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation

Duschau-Wicke

Zitzewitz

Caprez

et al. 2010

IEEE Trans. Neural Syst. Rehabil. Eng.

371

242

View full text Add to dashboard Cite

show abstract

“…The mean of the deviations of all the strokes quantified the variability. A spatiotemporal analysis [19] was used to compute the temporal and spatial deviation of the single-stroke pattern from the mean of the stroke patterns of all the strokes during a block. The variability of important rowing variables and the spatiotemporal deviations of the horizontal oar angle u were calculated to compare the consistency of the movement of the audience block with the surrounding non-audience blocks, according to…”

Section: Movement Variablesmentioning

confidence: 99%

Does a virtual audience influence rowing?

Wellner

Sigrist

Zitzewitz

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part P:

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The performance of athletes is often influenced by the presence of an audience. This pressure situation, which is common for competition, cannot be trained for on available simulators. Therefore, a novel rowing simulator with virtual reality technology was developed and evaluated. Ten participants of different skill levels were rowing 3 • 1000 m with positive, neutral, and negative virtual audience tribunes in blocks of random order. The analysis of movement variables, physiological response, questionnaires, and interviews was used to detect differences between audience blocks and adjoining non-audience blocks. Although some participants responded in part to the investigated movement and physiological variables, no reliable effect of any of the audience types could be shown. Interestingly, self-reported measures indicated in general a high degree of realism and presence in the scenario. The explanation for the low incidence of behavioural change is that the virtual audience did not create enough pressure on the participants, although no definite conclusion can be drawn owing to the small sample size.

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Learning-based methods for the analysis of intralimb-coordination and adaptation of locomotor patterns in cerebellar patients

Cited by 2 publications

References 25 publications

Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation

Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation

Does a virtual audience influence rowing?

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