AIMC Topic: Fingers
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MRI-compatible pneumatic stimulator for sensorimotor mapping.
Journal of neuroscience methods
Dec 19, 2018
BACKGROUND: Two major concerns with respect to task-based motor functional magnetic resonance imaging (fMRI) are inadequate participants' performance as well as intra- and inter-subject variability in execution of the motor action.
A hypothetical neural network model for generation of human precision grip.
Neural networks : the official journal of the International Neural Network Society
Dec 17, 2018
Humans can stably hold and skillfully manipulate an object by coordinated control of a complex, redundant musculoskeletal system. However, how the human central nervous system actually accomplishes precision grip tasks by coordinated control of finge...
Design and Development of a Topology-Optimized Three-Dimensional Printed Soft Gripper.
Soft robotics
Jul 9, 2018
In the past decade, a rich repertoire of soft robots, designed from biomimetic and intuitive approaches, has been developed to overcome challenges faced by their rigid-bodied counterparts. However, these design approaches are greatly limited by the d...
ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms.
Journal of healthcare engineering
Mar 11, 2018
We introduce an approach to predict deterioration of reaction state for people having neurological movement disorders such as hand tremors and nonvoluntary movements. These involuntary motor features are closely related to the symptoms occurring in p...
The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies.
Soft robotics
Jan 3, 2018
Tactile sensing is an essential component in human-robot interaction and object manipulation. Soft sensors allow for safe interaction and improved gripping performance. Here we present the TacTip family of sensors: a range of soft optical tactile sen...
Design-validation of a hand exoskeleton using musculoskeletal modeling.
Applied ergonomics
Dec 19, 2017
Exoskeletons are progressively reaching homes and workplaces, allowing interaction with virtual environments, remote control of robots, or assisting human operators in carrying heavy loads. Their design is however still a challenge as these robots, b...
Decoding of finger trajectory from ECoG using deep learning.
Journal of neural engineering
Nov 28, 2017
OBJECTIVE: Conventional decoding pipeline for brain-machine interfaces (BMIs) consists of chained different stages of feature extraction, time-frequency analysis and statistical learning models. Each of these stages uses a different algorithm trained...
Robotic finger perturbation training improves finger postural steadiness and hand dexterity.
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Nov 22, 2017
The purpose of the study was to understand the effect of robotic finger perturbation training on steadiness in finger posture and hand dexterity in healthy young adults. A mobile robotic finger training system was designed to have the functions of hi...
Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia.
Journal of neuroengineering and rehabilitation
Nov 6, 2017
BACKGROUND: For an individual with tetraplegia assistive robotic arms provide a potentially invaluable opportunity for rehabilitation. However, there is a lack of available control methods to allow these individuals to fully control the assistive arm...
Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.
Computational intelligence and neuroscience
Oct 19, 2017
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. Th...
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