AIMC Topic: Hand

Clear Filters Showing 481 to 490 of 604 articles

A Tailorable Robotic Hand Orthosis to Support Children with Neurological Hand Impairments: a Case Study in a Child's Home.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Neurological disorders such as traumatic brain injuries (TBI) can lead to hand impairments in children, negatively impacting their quality of life. Fully wearable robotic hand orthoses (RHO) have been proposed to actively support children and promote...

EMG-Based Control Strategies of a Supernumerary Robotic Hand for the Rehabilitation of Sub-Acute Stroke Patients: Proof of Concept.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. Therapy started in the sub-acute phase proved more effective, mainly when the patient participates actively. Recently, a novel set of rehabilitation a...

Concurrent Prediction of Dexterous Finger Flexion and Extension Force via Deep Forest.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Neuromuscular injuries can impair hand function and profoundly impacting the quality of life. This has motivated the development of advanced assistive robotic hands. However, the current neural decoder systems are limited in their ability to provide ...

EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Motor kinematics decoding (MKD) using brain signal is essential to develop Brain-computer interface (BCI) system for rehabilitation or prosthesis devices. Surface electroencephalogram (EEG) signal has been widely utilized for MKD. However, kinematic ...

Multi-Grasp Classification for the Control of Robot Hands Employing Transformers and Lightmyography Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The increasing use of smart technical devices in our everyday lives has necessitated the use of muscle-machine interfaces (MuMI) that are intuitive and that can facilitate immersive interactions with these devices. The most common method to develop M...

Super-resolution multimode fiber imaging with an untrained neural network.

Optics letters
Multimode fiber endoscopes provide extreme miniaturization of imaging components for minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial resolution and long measurement time. Fast super-resolution imaging thr...

Quantification of motion during microvascular anastomosis simulation using machine learning hand detection.

Neurosurgical focus
OBJECTIVE: Microanastomosis is one of the most technically demanding and important microsurgical skills for a neurosurgeon. A hand motion detector based on machine learning tracking technology was developed and implemented for performance assessment ...

Comment on Lee et al. (2021): Effects of Robot-Assisted Rehabilitation on Hand Function of People With Stroke.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association

Effect of variable transmission on body-powered prosthetic grasping.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Body-powered upper-limb prostheses remain a popular option for those with limb absence due to their passive nature. These devices typically feature a constant transmission ratio between the forces input by the user and the grasp forces output by the ...

Proof-of-Concept: A Hands-Free Interface for Robot-Assisted Self-Feeding.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Eating and drinking is an essential part of every-day life. And yet, there are many people in the world today who rely on others to feed them. In this work, we present a prototype robot-assisted self-feeding system for individuals with movement disor...