AIMC Topic: Hand

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Time-frequency modulation of ERD and EEG coherence in robot-assisted hand performance.

Brain topography May 17, 2014
A better understanding of cortical modifications related to movement preparation and execution after robot-assisted training could aid in refining rehabilitation therapy protocols for stroke patients. Electroencephalography (EEG) modifications of cor...
Brain Female Adult Motion Humans Motor Activity Imagination Periodicity Electroencephalography Signal Processing, Computer-Assisted Hand Male Robotics
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Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Pattern Recognition, Automated Task Performance and Analysis Biometry Humans Reproducibility of Results Movement Artificial Intelligence Sensitivity and Specificity Handwriting Hand Algorithms
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Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke.

Disability and rehabilitation. Assistive technology Dec 31, 2013
PURPOSE: An electromyography-driven robot system integrated with neuromuscular electrical stimulation (NMES) was developed to investigate its effectiveness on post-stroke rehabilitation.
Humans Female Electric Stimulation Therapy Fingers Recovery of Function Physical Therapy Modalities Stroke Rehabilitation Chronic Disease Robotics Middle Aged Hand Pilot Projects Electromyography Aged Muscle, Skeletal Range of Motion, Articular Adult Male
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Algorithmic approaches in hand imaging for rheumatic musculoskeletal diseases: A systematic literature review.

Seminars in arthritis and rheumatism Aug 1, 2025
OBJECTIVE: This systematic literature review provides a comprehensive overview of the use of machine learning (ML) in hand imaging of rheumatic musculoskeletal diseases (RMDs). The review evaluates ML algorithms, imaging modalities, patient populatio...
Hand Musculoskeletal Diseases Rheumatic Diseases Algorithms Humans Magnetic Resonance Imaging Machine Learning Arthritis, Psoriatic
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A comprehensive review of dexterous robotic hands: design, implementation, and evaluation.

Bioinspiration & biomimetics Jul 7, 2025
Dexterous robotic hands have been a central focus in robotics research, aiming to replicate the versatility and functionality of the human hand. This review provides a comprehensive analysis of the latest advancements in the literature on dexterous r...
Equipment Design Hand Biomimetics Machine Learning Hand Strength Robotics Humans
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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 Jul 1, 2025
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 ...
Machine Learning Deep Learning Imaging, Three-Dimensional Humans Neural Networks, Computer Fingers Posture Hand
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Embodied manipulation with past and future morphologies through an open parametric hand design.

Science robotics May 14, 2025
A human-shaped robotic hand offers unparalleled versatility and fine motor skills, enabling it to perform a broad spectrum of tasks with precision, power, and robustness. Across the paleontological record and animal kingdom, we see a wide range of al...
Printing, Three-Dimensional Humans Hand Robotics Biomechanical Phenomena Motor Skills Equipment Design
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[Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN...
Support Vector Machine Hand Strength Muscle Strength Humans Neural Networks, Computer Convolutional Neural Networks Hand
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The Future of Artificial Intelligence in Hand and Upper Extremity Surgery.

Journal of surgical orthopaedic advances Jan 1, 2025
The increasing role of artificial intelligence (AI) in healthcare is largely attributed to the fact that, with continual medical advances and digitization, clinical decision-making has become more and more reliant on data. As the volume and complexit...
Hand Upper Extremity Orthopedic Procedures Humans Artificial Intelligence Forecasting
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Differences in Optimal Control Strategies for Bimanual Coordination Between Dominant and Non-Dominant Hands in Teleoperation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Remote operation using dual-arm robots has the potential to increase the efficiency and safety of tasks traditionally carried out by humans. However, coordinating two robotic arms for tasks that involve both hands is challenging because the operation...
Female Adult Male Robotics Hand Functional Laterality Humans
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