AIMC Topic: Hand Strength

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Hybrid robotic systems for upper limb rehabilitation after stroke: A review.

Medical engineering & physics
In recent years the combined use of functional electrical stimulation (FES) and robotic devices, called hybrid robotic rehabilitation systems, has emerged as a promising approach for rehabilitation of lower and upper limb motor functions. This paper ...

Artificial neural network EMG classifier for functional hand grasp movements prediction.

The Journal of international medical research
Objective To design and implement an electromyography (EMG)-based controller for a hand robotic assistive device, which is able to classify the user's motion intention before the effective kinematic movement execution. Methods Multiple degrees-of-fre...

A Novel EMG Interface for Individuals With Tetraplegia to Pilot Robot Hand Grasping.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper introduces a new human-machine interface for individuals with tetraplegia. We investigated the feasibility of piloting an assistive device by processing supra-lesional muscle responses online. The ability to voluntarily contract a set of s...

Feasibility and efficacy of a robotic device for hand rehabilitation in hemiplegic stroke patients: a randomized pilot controlled study.

Clinical rehabilitation
OBJECTIVE: The purpose of the study was to evaluate the feasibility and efficacy of robot-assisted hand rehabilitation in improving arm function abilities in sub-acute hemiplegic patients.

A cortically-inspired model for inverse kinematics computation of a humanoid finger with mechanically coupled joints.

Bioinspiration & biomimetics
The human hand's versatility allows for robust and flexible grasping. To obtain such efficiency, many robotic hands include human biomechanical features such as fingers having their two last joints mechanically coupled. Although such coupling enables...