Work Force

Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.

Rehabilitation robots can provide high intensity and dosage training or assist patients in activitie...

Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation ...

Multi-purpose Robotic Training Strategies for Neurorehabilitation with Model Predictive Controllers.

One of the main challenges in robotic neuroreha-bilitation is to understand how robots should physic...

May I Keep an Eye on Your Training? Gait Assessment Assisted by a Mobile Robot.

A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the less...

A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.

Proprioceptive deficits are common among stroke survivors and are associated with slower motor recov...

Visual Biofeedback of Force Information for Eccentric Training of Hemiplegic Patients.

Motor learning issues for hemiplegics not only include motor impairments such as spastic paralysis, ...

Immediate Effects of Force Feedback and Plantar Somatosensory Stimuli on Inter-limb Coordination During Perturbed Walking.

Single-sided motor weakness, also known as hemiparesis, is the most prevalent gait impairment among ...

Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

Proprioception, the ability to sense body position and limb movements in space without visual feedba...

Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy.

Task-oriented therapy consists of three stages: demonstration, observation and assistance. While dem...

Robot-assisted locomotor training did not improve walking function in patients with chronic incomplete spinal cord injury: A randomized clinical trial.

OBJECTIVE: To assess the effects of robot-assisted locomotor training in patients with chronic incom...

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncolo...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

Is Electromechanical and Robot-Assisted Arm Training Effective for Improving Arm Function in People Who Have Had a Stroke?: A Cochrane Review Summary With Commentary.

A generic deep convolutional neural network framework for prediction of receptor-ligand interactions-NetPhosPan: application to kinase phosphorylation prediction.

MOTIVATION: Understanding the specificity of protein receptor-ligand interactions is pivotal for our...

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.

In this paper, we developed a deep convolutional neural network (CNN) for the classification of mali...

Rhythmic robotic training enhances motor skills of both rhythmic and discrete upper-limb movements after stroke: a longitudinal pilot study.

Discrete and rhythmic movements are two fundamental motor primitives being, at least partially, cont...

The role of robotic gait training and tDCS in Friedrich ataxia rehabilitation: A case report.

RATIONALE: Friedrich ataxia (FA) is the most common inherited neurodegenerative cerebellar ataxic sy...

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting r...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a succe...

Improvement of motor performance in children with cerebral palsy treated with exoskeleton robotic training: A retrospective explorative analysis.

BACKGROUND: Robot-assisted gait training (RAGT) is widely used in children with cerebral palsy (CP),...

On the Potential for Open-Endedness in Neural Networks.

Natural evolution gives the impression of leading to an open-ended process of increasing diversity a...