Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, me...

Robotic-assisted gait training in neurological patients: who may benefit?

Regaining one's ability to walk is of great importance for neurological patients and is a major goal...

Conventional Laparoscopic vs Robotic Training: Which is Better for Naive Users? A Randomized Prospective Crossover Study.

OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) ...

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

It is unclear how the variability of kinematic errors experienced during motor training affects skil...

Pervasive Sound Sensing: A Weakly Supervised Training Approach.

Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have...

Evaluation of HEXORR Tone Assistance Mode Against Spring Assistance.

Robots are a promising tool for rehabilitation, and research suggests combining assistance with subj...

Training spiking neural models using artificial bee colony.

Spiking neurons are models designed to simulate, in a realistic manner, the behavior of biological n...

Memristor-based multilayer neural networks with online gradient descent training.

Learning in multilayer neural networks (MNNs) relies on continuous updating of large matrices of syn...

Can robotic surgery be done efficiently while training residents?

INTRODUCTION: Robotic surgery is a rapidly growing area in surgery. In an era of emphasis on cost re...

Comparison of two simulation systems to support robotic-assisted surgical training: a pilot study (Swine model).

OBJECTIVE: To compare the efficacy of simulation-based training between the Mimic dV- Trainer and tr...

"You gotta try it all": Parents' Experiences with Robotic Gait Training for their Children with Cerebral Palsy.

AIMS: Innovative robotic technologies hold strong promise for improving walking abilities of childre...

A low cost real-time motion tracking approach using webcam technology.

Physical therapy is an important component of gait recovery for individuals with locomotor dysfuncti...

An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.

PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for ...

How could robotic training and botolinum toxin be combined in chronic post stroke upper limb spasticity? A pilot study.

BACKGROUND: Spasticity has a role of primary importance in functional motor recovery of upper limb a...

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt ...

Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.

This paper presents the Chebyshev neural network (ChNN) as an improved artificial intelligence techn...

Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

Robot-assisted gait training in a patient with hereditary spastic paraplegia.

Robot-assisted gait training has been investigated for restoring walking through activity-dependent ...

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