AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Hand

Showing 101 to 110 of 589 articles

Clear Filters

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...

BoneXpert-derived bone health index reference curves constructed on healthy Indian children and adolescents.

Pediatric radiology
BACKGROUND: Artificial intelligence (AI)-based applications for the assessment of the paediatric musculoskeletal system like BoneXpert are not only useful to assess bone age (BA) but also to provide a bone health index (BHI) and a standard deviation ...

Culturally competent social robots target inclusion in Africa.

Science robotics
Embedding culturally sensitive body, hand, and facial gestures in social robots will make them more acceptable in Africa.

In-depth quantification of bimanual coordination using the Kinarm exoskeleton robot in children with unilateral cerebral palsy.

Journal of neuroengineering and rehabilitation
BACKGROUND: Robots have been proposed as tools to measure bimanual coordination in children with unilateral cerebral palsy (uCP). However, previous research only examined one task and clinical interpretation remains challenging due to the large amoun...

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.

Sensors (Basel, Switzerland)
Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson's disease (PD). This study examined the ability of deep learning approaches to grade the motor impairment severity in ...

Transformation of foldable robotic hand to scissor-like shape for pinching based on human hand movement.

Scientific reports
Increasing the number of degrees of freedom for multi-finger robotic hands is necessary to achieve high performance. However, this increases structural complexity and the obtained improvement may be small. Humans change the shape of their hands by ex...

Recognition of Grasping Patterns Using Deep Learning for Human-Robot Collaboration.

Sensors (Basel, Switzerland)
Recent advances in the field of collaborative robotics aim to endow industrial robots with prediction and anticipation abilities. In many shared tasks, the robot's ability to accurately perceive and recognize the objects being manipulated by the huma...

KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences.

Sensors (Basel, Switzerland)
Keystroke dynamics is a soft biometric based on the assumption that humans always type in uniquely characteristic manners. Previous works mainly focused on analyzing the key press or release events. Unlike these methods, we explored a novel visual mo...

Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network.

Scientific reports
Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years. Although some of the previous studies have successfully recognized sign language, it requires many costly instrume...