AIMC Topic: Robotics

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The role of robot-assisted training on rehabilitation outcomes in Parkinson's disease: a systematic review and meta-analysis.

Disability and rehabilitation
PURPOSE: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program.

Insights into urinary incontinence after robot-assisted radical prostatectomy: urgent urinary incontinence or stress urinary incontinence.

World journal of urology
PURPOSE: Urinary incontinence is a common complication following robot-assisted radical prostatectomy (RARP). Few studies have explored the relationships and differences between stress urinary incontinence (SUI) and urgent urinary incontinence (UUI) ...

Toward self-contained bidirectional bionic limbs with high information throughput.

Science robotics
Surgical neural engineering and human-machine interfacing enable bionic limbs with dexterous control and sensory feedback.

A highly integrated bionic hand with neural control and feedback for use in daily life.

Science robotics
Restoration of sensorimotor function after amputation has remained challenging because of the lack of human-machine interfaces that provide reliable control, feedback, and attachment. Here, we present the clinical implementation of a transradial neur...

Plantar somatosensory restoration enhances gait, speed perception, and motor adaptation.

Science robotics
Lower limb loss is a major insult to the body's nervous and musculoskeletal systems. Despite technological advances in prosthesis design, artificial limbs are not yet integrated into the body's physiological systems. Therefore, lower limb amputees (L...

A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Humans can generate goal-directed motor actions in response to sensory stimulus within ~ 60-200ms. This ability can be impaired after stroke, but most clin...

Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke.

PloS one
Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robo...

Interdisciplinary evaluation of a robot physically collaborating with workers.

PloS one
Collaborative Robots-CoBots-are emerging as a promising technological aid for workers. To date, most CoBots merely share their workspace or collaborate without contact, with their human partners. We claim that robots would be much more beneficial if ...

A Learning-Free Method for Locomotion Mode Prediction by Terrain Reconstruction and Visual-Inertial Odometry.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics. This study represents the pioneering effort to...

Outcomes of totally robotic Roux-en-Y gastric bypass in patients with BMI ≥ 50 kg/m: can the robot level out "traditional" risk factors?

Journal of robotic surgery
Roux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m is a challenging procedure and BMI ≥ 50 kg/m has been identified as independent risk factor for postoperative complications and increased morbidity in previous studies. ...