Bimanual motor skill learning and robotic assistance for chronic hemiparetic stroke: a randomized controlled trial

Doost, Maral Yeganeh; Herman, Benoît; Denis, Adrien; Sapin, Julien; Galinski, Daniel; Riga, Audrey; Laloux, Patrice; Bihin, Benoît; Vandermeeren, Yves

doi:10.4103/1673-5374.301030

Cited by 13 publications

(11 citation statements)

References 59 publications

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“…A previous study indicated that function improvement is related to cortical reorganization post-intervention [ 53 ]. However, the optimal strategy for intervention application in order to increase cortical activation and motor skill learning has yet to be determined [ 27 ]. Early literature indicated that the activation patterns related to bimanual task performance were not similar to unimanual tasks such as finger opposition [ 63 ].…”

Section: Discussionmentioning

confidence: 99%

“…A range of interlimb coordinated tasks were provided to chronic stroke patients for 2 months (3 h per week) in an outpatient setting. The results showed that the interlimb-coordinated training group had significantly higher improvement in their Fugl–Meyer Assessment scores, Rivermead Visual Gait Assessment, and modified Rankin Scale than the control group, providing some support for the potential role of the upper limbs in gait function recovery and the potential benefits of interlimb-coordinated intervention [ 27 ]. However, the study that adopted interlimb-coordinated intervention was a preliminary trial without adequately powered sample calculation, increasing the likelihood of a type II error.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, patients with stroke may theoretically benefit more from bimanual training tasks than unimanual tasks. A preliminary study that compared the benefits between single-limb training with double-limb robotic devices reported results favouring double-limb training [ 27 ]. To date, there is also insufficient evidence to demonstrate whether interlimb-coordinated intervention is beneficial in upper limb function recovery when it is provided at the acute stage.…”

Section: Introductionmentioning

confidence: 99%

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The Efficacy of Interlimb-Coordinated Intervention on Gait and Motor Function Recovery in Patients with Acute Stroke: A Multi-Center Randomized Controlled Trial Study Protocol

Chen

Zhao

et al. 2021

Brain Sciences

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Background: The efficacy of interlimb-coordinated training on gait and upper limb functional improvement remains unclear. The latest published randomized controlled trials have supported the potential benefits of interlimb-coordinated training to enhance gait function. Upper limb functional recovery may also benefit from interlimb-coordinated training since most everyday activities require the coordinated use of both hands to complete a task. This study investigates the efficacy of interlimb-coordinated training on gait and upper limb functional recovery over a short-medium term period. Methods: A total of 226 acute stroke patients will be recruited from four centres over four years. Patients will be randomly allocated to either conventional therapy or conventional therapy plus interlimb-coordinated training. Outcomes will be recorded at baseline, after 2 weeks of intervention, and at 3- and 6-months post-intervention. Gait speed is the primary outcome measure. Secondary outcome measures include Fugl–Meyer Assessment of Motor Recovery, Berg Balance Scale, Timed Up and Go test, Action Research Arm Test, electroencephalography, and magnetic resonance imaging. Conclusion: The results of this trial will provide an in-depth understanding of the efficacy of early interlimb-coordinated intervention on gait and upper functional rehabilitation and how it may relate to the neural plasticity process.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Efficacy of Interlimb-Coordinated Intervention on Gait and Motor Function Recovery in Patients with Acute Stroke: A Multi-Center Randomized Controlled Trial Study Protocol

Chen

Zhao

et al. 2021

Brain Sciences

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“…The elderly are the largest potential population of stroke patients, which will also lead to an increase in the prevalence of stroke (Wang et al, 2019). The lower limb dysfunction caused by stroke has brought a great burden to the family and society (Coleman et al, 2017;Hobbs and Artemiadis, 2020;Doost et al, 2021;Ezaki et al, 2021). At present, the more effective treatment for stroke is rehabilitation exercise therapy.…”

Section: Introductionmentioning

confidence: 99%

Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision

et al. 2021

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To provide stroke patients with good rehabilitation training, the rehabilitation robot should ensure that each joint of the limb of the patient does not exceed its joint range of motion. Based on the machine vision combined with an RGB-Depth (RGB-D) camera, a convenient and quick human-machine interaction method to measure the lower limb joint range of motion of the stroke patient is proposed. By analyzing the principle of the RGB-D camera, the transformation relationship between the camera coordinate system and the pixel coordinate system in the image is established. Through the markers on the human body and chair on the rehabilitation robot, an RGB-D camera is used to obtain their image data with relative position. The threshold segmentation method is used to process the image. Through the analysis of the image data with the least square method and the vector product method, the range of motion of the hip joint, knee joint in the sagittal plane, and hip joint in the coronal plane could be obtained. Finally, to verify the effectiveness of the proposed method for measuring the lower limb joint range of motion of human, the mechanical leg joint range of motion from a lower limb rehabilitation robot, which will be measured by the angular transducers and the RGB-D camera, was used as the control group and experiment group for comparison. The angle difference in the sagittal plane measured by the proposed detection method and angle sensor is relatively conservative, and the maximum measurement error is not more than 2.2 degrees. The angle difference in the coronal plane between the angle at the peak obtained by the designed detection system and the angle sensor is not more than 2.65 degrees. This paper provides an important and valuable reference for the future rehabilitation robot to set each joint range of motion limited in the safe workspace of the patient.

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“…These inconsistent results between robotic assistance in unimanual or bimanual conditions may be connected to the need for studies that elaborate on the mechanisms behind the bilateral training interventions, including the hand dominance, before working on brand new devices for clinical rehabilitation. Addressing this issue, some authors have implemented motor learning paradigms in bimanual environment, using robotic systems to study adaptation due to force field [ 21 , 31 , 32 , 33 ], proposing bimanual versions of the serial reaction time task [ 34 , 35 , 36 , 37 ], or investigating motor acuity by analysing the prehension force during bimanual manipulation [ 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

Handlebar Robotic System for Bimanual Motor Control and Learning Research

Cardoso

Pedro

Forner-Cordero

2021

Sensors

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Robotic devices can be used for motor control and learning research. In this work, we present the construction, modeling and experimental validation of a bimanual robotic device. We tested some hypotheses that may help to better understand the motor learning processes involved in the interlimb coordination function. The system emulates a bicycle handlebar with rotational motion, thus requiring bilateral upper limb control and a coordinated sequence of joint sub-movements. The robotic handlebar is compact and portable and can register in a fast rate both position and forces independently from arms, including prehension forces. An impedance control system was implemented in order to promote a safer environment for human interaction and the system is able to generate force fields, suitable for implementing motor learning paradigms. The novelty of the system is the decoupling of prehension and manipulation forces of each hand, thus paving the way for the investigation of hand dominance function in a bimanual task. Experiments were conducted with ten healthy subjects, kinematic and dynamic variables were measured during a rotational set of movements. Statistical analyses showed that movement velocity decreased with practice along with an increase in reaction time. This suggests an increase of the task planning time. Prehension force decreased with practice. However, an unexpected result was that the dominant hand did not lead the bimanual task, but helped to correct the movement, suggesting different roles for each hand during a cooperative bimanual task.

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Bimanual motor skill learning and robotic assistance for chronic hemiparetic stroke: a randomized controlled trial

Cited by 13 publications

References 59 publications

The Efficacy of Interlimb-Coordinated Intervention on Gait and Motor Function Recovery in Patients with Acute Stroke: A Multi-Center Randomized Controlled Trial Study Protocol

The Efficacy of Interlimb-Coordinated Intervention on Gait and Motor Function Recovery in Patients with Acute Stroke: A Multi-Center Randomized Controlled Trial Study Protocol

Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision

Handlebar Robotic System for Bimanual Motor Control and Learning Research

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