Work Force

Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongo...

The Effects of Combination of Robot-Assisted Therapy With Task-Specific or Impairment-Oriented Training on Motor Function and Quality of Life in Chronic Stroke.

BACKGROUND: Robot-assisted therapy (RT) is a promising intervention for stroke rehabilitation. RT hy...

Training shortest-path tractography: Automatic learning of spatial priors.

Tractography is the standard tool for automatic delineation of white matter tracts from diffusion we...

Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Rodent models of spinal cord injury are critical for the development of treatments for upper limb mo...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part ...

Dynamics of Viral Abundance and Diversity in a Sphagnum-Dominated Peatland: Temporal Fluctuations Prevail Over Habitat.

Viruses impact microbial activity and carbon cycling in various environments, but their diversity an...

LOPES II--Design and Evaluation of an Admittance Controlled Gait Training Robot With Shadow-Leg Approach.

Robotic gait training is gaining ground in rehabilitation. Room for improvement lies in reducing don...

Diversity and Plant Growth Promoting Capacity of Endophytic Fungi Associated with Halophytic Plants from the West Coast of Korea.

Five halophytic plant species, Suaeda maritima, Limonium tetragonum, Suaeda australis, Phragmites au...

Particle Swarm Optimization with Double Learning Patterns.

Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PS...

Effect of sprint training on resting serum irisin concentration - Sprint training once daily vs. twice every other day.

OBJECTIVE: Exercise twice every other day has been shown to lead to increasing peroxisome proliferat...

The effects of robot-assisted gait training in progressive multiple sclerosis: A randomized controlled trial.

BACKGROUND: Gait and mobility impairments are common in progressive multiple sclerosis (MS), leading...

Training and testing ERP-BCIs under different mental workload conditions.

OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces...

Robot training for hand motor recovery in subacute stroke patients: A randomized controlled trial.

BACKGROUND: Evidence of superiority of robot training for the hand over classical therapies in strok...

A Telehealth Case Study: The Use of Telepresence Robot for Delivering Integrated Clinical Care.

Editorial Comment to Validation of an educational program balancing surgeon training and surgical quality control during robot-assisted radical prostatectomy.

Improving proprioceptive deficits after stroke through robot-assisted training of the upper limb: a pilot case report study.

The purpose of this study was to determine whether a conventional robot-assisted therapy of the uppe...

Unsupervised learning assisted robust prediction of bioluminescent proteins.

Bioluminescence plays an important role in nature, for example, it is used for intracellular chemica...

Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.

BACKGROUND: Electromechanical and robot-assisted arm training devices are used in rehabilitation, an...

Incidence of nonresponse and individual patterns of response following sprint interval training.

The current study sought to explore the incidence of nonresponders for maximal or submaximal perform...

Resident training in a new robotic thoracic surgery program.

BACKGROUND: The volume of robot-assisted operations has drastically increased over the past decade. ...

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.

Dexterity and procedural knowledge are two critical skills that surgeons need to master to perform a...