scholarly journals Development of a Novel Robotic Rehabilitation System With Muscle-to-Muscle Interface

2020 ◽  
Vol 14 ◽  
Author(s):  
Jae Hwan Bong ◽  
Suhun Jung ◽  
Namji Park ◽  
Seung-Jong Kim ◽  
Shinsuk Park
Keyword(s):  
Robotic Rehabilitation ◽  
Rehabilitation System

A design of fine motion assist equipment for disabled hand in robotic rehabilitation system

2011 ◽  
Vol 348 (1) ◽  
pp. 79-89 ◽  
Author(s):  
Satoshi Ito ◽  
Haruhisa Kawasaki ◽  
Yasuhiko Ishigure ◽  
Masatoshi Natsume ◽  
Tetsuya Mouri ◽  
...  
Keyword(s):  
Robotic Rehabilitation ◽  
Rehabilitation System

Adaptation of Rehabilitation System Based on User’s Mental Engagement

2015 ◽  
Author(s):  
Ehsan T. Esfahani ◽  
Shrey Pareek ◽  
Pramod Chembrammel ◽  
Mostafa Ghobadi ◽  
Thenkurussi Kesavadas
Keyword(s):  
Brain Activity ◽  
Difficulty Level ◽  
The Novel ◽  
Theta Band ◽  
Robotic Rehabilitation ◽  
Designed Experiments ◽  
Power Spectral ◽  
Rehabilitation System ◽  
Alpha Beta ◽  
The Brain

Recognition of user’s mental engagement is imperative to the success of robotic rehabilitation. The paper explores the novel paradigm in robotic rehabilitation of using Passive BCI as opposed to the conventional Active ones. We have designed experiments to determine a user’s level of mental engagement. In our experimental study, we record the brain activity of 3 healthy subjects during multiple sessions where subjects need to navigate through a maze using a haptic system with variable resistance/assistance. Using the data obtained through the experiments we highlight the drawbacks of using conventional workload metrics as indicators of human engagement, thus asserting that Motor and Cognitive Workloads be differentiated. Additionally we propose a new set of features: differential PSD of Cz-Poz at alpha, Beta and Sigma band, (Mental engagement) and relative C3-C4 at beta (Motor Workload) to distinguish Normal Cases from those instances when haptic where applied with an accuracy of 92.93%. Mental engagement is calculated using the power spectral density of the Theta band (4–7 Hz) in the parietal-midline (Pz) with respect to the central midline (Cz). The above information can be used to adjust robotic rehabilitation parameters I accordance with the user’s needs. The adjustment may be in the force levels, difficulty level of the task or increasing the speed of the task.

Robotic Table and Serious Games for Integrative Rehabilitation Early Post-Stroke: Two Case Reports (Preprint)

2021 ◽  
Author(s):  
Grigore Burdea ◽  
Nam H. Kim ◽  
Kevin Polistico ◽  
Ashwin Kadaru ◽  
Namrata Grampurohit ◽  
...  
Keyword(s):  
Upper Extremity ◽  
Serious Games ◽  
Case Reports ◽  
Upper Extremities ◽  
Pinch Strength ◽  
Robotic Rehabilitation ◽  
Standardized Measures ◽  
Post Stroke ◽  
Active Flexion ◽  
Rehabilitation System

BACKGROUND BrightArm Compact is a new rehabilitation system for upper extremities. It provides bimanual training with gradated gravity loading and mediates interactions with serious games. OBJECTIVE To design and test a robotic rehabilitation table-based virtual rehabilitation system for training upper extremities early post-stroke. METHODS A new robotic rehabilitation table, controllers and adaptive games were developed. Participants underwent 12 experimental sessions in addition to the standard of care. Standardized measures of upper extremity motor impairment and function, depression severity, and cognitive function were administered pre- and post-intervention. Non-standardized measures included game variables and subjective evaluations. RESULTS Two case study participants attained high total arm repetitions per session (504 and 957, respectively), and achieved high grasp and finger extension counts. Training intensity contributed to marked improvements in affected arm shoulder strength (225% and 100%, respectively), grasp strength (27% and 16% increase), 3-finger pinch strength (31% and 15% increase). Shoulder active flexion range increased 17% and 18%, respectively, and elbow active supination was larger by 75% and 58%, respectively. Improvements in motor function were at/above Minimal Clinically Important Difference for Fugl-Meyer Assessment (11 and 10 points), Chedoke Inventory (11 and 14 points) and Upper Extremity Functional Index (19 and 23 points). Cognitive/emotive outcomes were mixed. CONCLUSIONS The design of the robotic rehabilitation table was successfully tested on two participants early post-stroke. Results are encouraging. CLINICALTRIAL ClinicalTrials.gov NCT04252170

Robotic Neuromuscular Facilitation for Regaining Neural Activation in Hemiparetic Limbs

2015 ◽  
Author(s):  
Jun Ueda ◽  
Lauren Lacey ◽  
Melih Turkseven ◽  
Minoru Shinohara ◽  
Ilya Kovalenko ◽  
...  
Keyword(s):  
Neural Plasticity ◽  
Motor Command ◽  
Accurate Estimation ◽  
Neural Activation ◽  
Mechanical Stimuli ◽  
Robotic Rehabilitation ◽  
Temporal Precision ◽  
Rehabilitation Outcomes ◽  
Rehabilitation System ◽  
Pressure Dynamics

This paper introduces an effective engineered rehabilitation system for understanding and inducing functional recovery of hemiparetic limbs based on the concept of timing-dependent induction of neural plasticity. Limb motor function is commonly impaired after neurologic injury such as stroke, with hemiparesis being one of the major impairments. In an emerging unique intervention for hemiparesis, named repetitive facilitation exercise, or RFE, a therapist manually applies brief mechanical stimuli to the peripheral target muscles (e.g., tapping, stretching of tendon/muscle) immediately before a patient intends to produce a movement with the muscle. The practice of this rehabilitation procedure by a skilled therapist often leads to dramatic rehabilitation outcomes. However, unskilled therapists, most likely due to the inaccuracy of the timing of peripheral stimulation in reference to the intention of movement (i.e. motor command), are unable to recreate the same rehabilitation results. Robotic rehabilitation, on the other hand, can improve the reliability and efficacy of the operation by satisfying the timing precision required by the therapy. This study demonstrates the use of a pneumatically-driven MRI-compatible robot for RFE assessment. The pressure dynamics of the system is studied for an accurate estimation on the time of response of the robot. The required temporal precision of the therapy is obtained and the use of the device is validated through experiments on a human subject.

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