Staffing & Scheduling

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict ...

[The robotic surgeon training].

The widespread robotic surgery in the world highlighted the relevance of the training programs for y...

Robotic neurorehabilitation in patients with chronic stroke: psychological well-being beyond motor improvement.

Although gait abnormality is one of the most disabling events following stroke, cognitive, and psych...

Emergency response nurse scheduling with medical support robot by multi-agent and fuzzy technique.

In this paper, a new co-operative re-scheduling method corresponding the medical support tasks that ...

Design and evaluation of a trilateral shared-control architecture for teleoperated training robots.

Multilateral teleoperated robots can be used to train humans to perform complex tasks that require c...

An intelligent control framework for robot-aided resistance training using hybrid system modeling and impedance estimation.

This study presents a novel therapy control method for robot-assisted resistance training using the ...

Cramér-Rao lower bound calculations for image registration using simulated phenomenology.

The Cramér-Rao lower bound (CRLB) is a valuable tool to quantify fundamental limits to estimation pr...

Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software.

Although emergency department visit forecasting can be of use for nurse staff planning, previous res...

Towards a standardised training curriculum for robotic surgery.

A cable-driven wrist robotic rehabilitator using a novel torque-field controller for human motion training.

Rehabilitation technologies have great potentials in assisted motion training for stroke patients. C...

A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities.

Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effective...

Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the ...

Trunk robot rehabilitation training with active stepping reorganizes and enriches trunk motor cortex representations in spinal transected rats.

Trunk motor control is crucial for postural stability and propulsion after low thoracic spinal cord ...

Application of artificial neural networks for prediction of photocatalytic reactor.

In this paper, forecasting of kinetic constant and efficiency of photocatalytic process of TiO2 nano...

[It starts with the novices: training curricula for robot-assisted surgery].

Kinematics effectively delineate accomplished users of endovascular robotics with a physical training model.

OBJECTIVE: Endovascular robotics systems, now approved for clinical use in the United States and Eur...

REEF: Retainable Evaluator Execution Framework.

Resource Managers like Apache YARN have emerged as a critical layer in the cloud computing system st...

Shifting the balance of human standing: Inter-limb coordination for the control of a robotic balance simulation.

Learning to maintain standing balance in the presence of a paretic limb is an important recovery pro...

Comparison between the therapeutic effects of robotic-assisted locomotor training and an anti-spastic medication on spasticity.

We studied the effects of robotic-assisted locomotor (LOKOMAT) training or an anti-spastic medicatio...

Robot-assisted training to improve proprioception does benefit from added vibro-tactile feedback.

Proprioception is central for motor control and its role must also be taken into account when design...

Fool-proofing design and crisis management for customized intelligent physical fitness and healthcare system.

In recent years, it is quite important to develop a customized system which can enhance physical fit...