AIMC Topic: Hand

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Tracking hand movements with a smart glove.

Science robotics
Dynamic hand movements could be detected in real time using machine learning and a smart textile glove.

Journey from human hands to robot hands: biological inspiration of anthropomorphic robotic manipulators.

Bioinspiration & biomimetics
The development of robotic hands that can replicate the complex movements and dexterity of the human hand has been a longstanding challenge for scientists and engineers. A human hand is capable of not only delicate operation but also crushing with po...

Classification of EMG signals with CNN features and voting ensemble classifier.

Computer methods in biomechanics and biomedical engineering
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gestures efficiently with EMG signals presents numerous challenges. In addition to overcoming these challenges, a successful combination of feature extrac...

Combining Transcranial Direct Current Stimulation With Hand Robotic Rehabilitation in Chronic Stroke Patients: A Double-Blind Randomized Clinical Trial.

American journal of physical medicine & rehabilitation
OBJECTIVE: This study aimed to assess the impact of combining transcranial direct current stimulation with end-effector robot-assisted treatment on upper limb function, spasticity, and hand dexterity in chronic stroke patients.

Effect of Robotic Rehabilitation on Hand Functions and Quality of Life in Children With Cerebral Palsy: A Prospective Randomized Controlled Study.

American journal of physical medicine & rehabilitation
OBJECTIVE: This study aimed to examine the impact of robotic hand rehabilitation on hand function and quality of life in children with cerebral palsy.

Determination of growth and developmental stages in hand-wrist radiographs : Can fractal analysis in combination with artificial intelligence be used?

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie
PURPOSE: The goal of this work was to assess the classification of maturation stage using artificial intelligence (AI) classifiers.

Brain control of bimanual movement enabled by recurrent neural networks.

Scientific reports
Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality for people with paralysis (e.g...

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke Through EMG-Driven Robot Hand Training: Insights From Dynamic Causal Modeling.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring the interhemispheric balance between motor networks. However, the underlying mechanisms of reorganization between interhemispheric regions remain unc...

Evaluation of Reliability of the Luna EMG Rehabilitation Robot to Assess Proprioception in the Upper Limbs in 102 Healthy Young Adults.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND Proprioception, the body's ability to perceive its own position and movement, is fundamental for motor control and coordination. Reliable assessment tools are essential, particularly for conditions affecting proprioceptive function. This s...

ExoMechHand prototype development and testing with EMG signals for hand rehabilitation.

Medical engineering & physics
Rehabilitation is a major requirement to improve the quality of life and mobility of patients with disabilities. The use of rehabilitative devices without continuous supervision of medical experts is increasing manifold, mainly due to prolonged thera...