AIMC Topic: Hand Strength

Clear Filters Showing 51 to 60 of 325 articles

The usefulness of assistive soft robotics in the rehabilitation of patients with hand impairment: A systematic review.

Journal of bodywork and movement therapies
INTRODUCTION: Loss of hand function causes severe limitations in activity in daily living. The hand-soft robot is one of the methods that has recently been growing to increase the patient's independence. The purpose of the present systematic review w...

Performance of different machine learning algorithms in identifying undiagnosed diabetes based on nonlaboratory parameters and the influence of muscle strength: A cross-sectional study.

Journal of diabetes investigation
AIMS/INTRODUCTION: Machine learning algorithms based on the artificial neural network (ANN), support vector machine, naive Bayesian or logistic regression model are commonly used to identify diabetes. This study investigated which approach performed ...

Enhancing the Versatility and Performance of Soft Robotic Grippers, Hands, and Crawling Robots Through Three-Dimensional-Printed Multifunctional Buckling Joints.

Soft robotics
Soft robotic grippers and hands offer adaptability, lightweight construction, and enhanced safety in human-robot interactions. In this study, we introduce vacuum-actuated soft robotic finger joints to overcome their limitations in stiffness, response...

Teleoperation of an Anthropomorphic Robot Hand with a Metamorphic Palm and Tunable-Stiffness Soft Fingers.

Soft robotics
Teleoperation in soft robotics can endow soft robots with the ability to perform complex tasks through human-robot interaction. In this study, we propose a teleoperated anthropomorphic soft robot hand with variable degrees of freedom (DOFs) and a met...

Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex.

Computers in biology and medicine
Deep neural networks (DNNs) are widely adopted to decode motor states from both non-invasively and invasively recorded neural signals, e.g., for realizing brain-computer interfaces. However, the neurophysiological interpretation of how DNNs make the ...

Intelligent robotics harvesting system process for fruits grasping prediction.

Scientific reports
This paper proposes and executes an in-depth learning-based image processing approach for self-picking apples. The system includes a lightweight one-step detection network for fruit recognition. As well as computer vision to analyze the point class a...

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.

Effects of an assist-as-needed equipped Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) on upper limb function in patients with chronic stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: The original version of the Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) significantly improved the motor and functional performance of the affected upper extremity of chronic stroke patients. The assist-as-needed (AAN) technique in r...

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...

Human-Robot Interaction Using Learning from Demonstrations and a Wearable Glove with Multiple Sensors.

Sensors (Basel, Switzerland)
Human-robot interaction is of the utmost importance as it enables seamless collaboration and communication between humans and robots, leading to enhanced productivity and efficiency. It involves gathering data from humans, transmitting the data to a ...