AIMC Topic: Fingers

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Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

Journal of neuroengineering and rehabilitation
BACKGROUND: While constraint-induced movement therapy (CIMT) is one of the most promising techniques for upper limb rehabilitation after stroke, it requires high residual function to start with. Robotic device, on the other hand, can provide intentio...

An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation.

IEEE transactions on haptics
This paper presents a novel electromyography (EMG)-driven hand exoskeleton for bilateral rehabilitation of grasping in stroke. The developed hand exoskeleton was designed with two distinctive features: (a) kinematics with intrinsic adaptability to pa...

Evaluation of HEXORR Tone Assistance Mode Against Spring Assistance.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Robots are a promising tool for rehabilitation, and research suggests combining assistance with subject participation to maintain motivation and engagement. In this study, we compare two different types of robotic assistance for hand rehabilitation: ...

Personalized keystroke dynamics for self-powered human--machine interfacing.

ACS nano
The computer keyboard is one of the most common, reliable, accessible, and effective tools used for human--machine interfacing and information exchange. Although keyboards have been used for hundreds of years for advancing human civilization, studyin...

Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand.

Artificial intelligence in medicine
OBJECTIVE: This study aimed to find effective approaches to electroencephalographic (EEG) signal analysis and resolve problems of real and imaginary finger movement pattern recognition and categorization for one hand.

Sensing and Force-Feedback Exoskeleton (SAFE) Robotic Glove.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper presents the design, implementation and experimental validation of a novel robotic haptic exoskeleton device to measure the user's hand motion and assist hand motion while remaining portable and lightweight. The device consists of a five-f...

Extrinsic finger and thumb muscles command a virtual hand to allow individual finger and grasp control.

IEEE transactions on bio-medical engineering
Fine-wire intramuscular electrodes were used to obtain electromyogram (EMG) signals from six extrinsic hand muscles associated with the thumb, index, and middle fingers. Subjects' EMG activity was used to control a virtual three-degree-of-freedom (DO...

FingerPoseNet: A finger-level multitask learning network with residual feature sharing for 3D hand pose estimation.

Neural networks : the official journal of the International Neural Network Society
Hand pose estimation approaches commonly rely on shared hand feature maps to regress the 3D locations of all hand joints. Subsequently, they struggle to enhance finger-level features which are invaluable in capturing joint-to-finger associations and ...

Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping.

Scientific reports
In advanced Parkinson's disease (PD), considerable number of patients receive deep brain stimulation (DBS) surgery, to alleviate symptoms not readily controlled by medication. However, the differential effects of medication and DBS on improving motor...