AIMC Topic: Biomechanical Phenomena

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Bottom-level motion control for robotic fish to swim in groups: modeling and experiments.

Bioinspiration & biomimetics May 2, 2019
Moving in groups is an amazing spectacle of collective behaviour in fish and has attracted considerable interest from many fields, including biology, physics and engineering. Although robotic fish have been well studied, including algorithms to simul...
Computer Simulation Fishes Swimming Biomimetic Materials Hydrodynamics Wireless Technology Biomechanical Phenomena Animals Robotics Equipment Design Models, Biological
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Robot-Assisted Reaching Performance of Chronic Stroke and Healthy Individuals in a Virtual Versus a Physical Environment: A Pilot Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 1, 2019
The aim of the current study was to examine the role of environment, whether virtual or physical, on robot-assisted reaching movements in chronic stroke and healthy individuals, within a single session. Twenty-three subjects participated in the curre...
Stroke Psychomotor Performance Environment Stroke Rehabilitation Virtual Reality Treatment Outcome Female Robotics Aged Equipment Design Humans Aged, 80 and over Biomechanical Phenomena Adult Male Middle Aged Pilot Projects Surveys and Questionnaires
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Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 30, 2019
This paper proposes a Gaussian process-based method for trajectory learning and generation of individualized gait motions at arbitrary user-designated walking speeds, intended to be used in generating reference motions for robotic gait rehabilitation...
Joints Leg Walking Speed Normal Distribution Gait Disorders, Neurologic Robotics Gait Healthy Volunteers Markov Chains Anthropometry Biomechanical Phenomena Male Middle Aged Algorithms Models, Statistical Female Humans Aged Young Adult Adult
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Speech synthesis from neural decoding of spoken sentences.

Nature Apr 24, 2019
Technology that translates neural activity into speech would be transformative for people who are unable to communicate as a result of neurological impairments. Decoding speech from neural activity is challenging because speaking requires very precis...
Humans Neural Networks, Computer Female Adult Movement Biomechanical Phenomena Speech Intelligibility Male Speech Acoustics Speech Speech Articulation Tests Cerebral Cortex
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Artificial Neural Network Learns Clinical Assessment of Spasticity in Modified Ashworth Scale.

Archives of physical medicine and rehabilitation Apr 19, 2019
OBJECTIVE: To propose an artificial intelligence (AI)-based decision-making rule in modified Ashworth scale (MAS) that draws maximum agreement from multiple human raters and to analyze how various biomechanical parameters affect scores in MAS.
Neurologic Examination Neural Networks, Computer Prospective Studies Female Aged Elbow Joint Aged, 80 and over Brain Diseases Adult Hemiplegia Biomechanical Phenomena Muscle Spasticity Male Middle Aged Humans
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A CNN-Based Method for Intent Recognition Using Inertial Measurement Units and Intelligent Lower Limb Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 9, 2019
Powered intelligent lower limb prosthesis can actuate the knee and ankle joints, allowing transfemoral amputees to perform seamless transitions between locomotion states with the help of an intent recognition system. However, prior intent recognition...
Algorithms Adult Biomechanical Phenomena Male Electromyography Humans Neural Networks, Computer Machine Learning Intention Calibration Locomotion Recognition, Psychology Amputees Walking Artificial Limbs Prosthesis Design
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Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

Medicina (Kaunas, Lithuania) Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Analysis of Variance Memory Virtual Reality Exposure Therapy Upper Extremity Stroke Rehabilitation Double-Blind Method Exercise Therapy Attention Range of Motion, Articular Spatial Navigation Biomechanical Phenomena Male Middle Aged Anxiety Cognition Treatment Outcome Hand Strength Recovery of Function Robotics Humans Prospective Studies Female Aged
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A Remotely Controlled Transformable Soft Robot Based on Engineered Cardiac Tissue Construct.

Small (Weinheim an der Bergstrasse, Germany) Mar 25, 2019
Many living organisms undergo conspicuous or abrupt changes in body structure, which is often accompanied by a behavioral change. Inspired by the natural metamorphosis, robotic systems can be designed as reconfigurable to be multifunctional. Here, a ...
Tissue Engineering Biomechanical Phenomena Robotics Equipment Design Heart
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Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Middle Aged Aged Parkinson Disease Humans Deep Learning Nonlinear Dynamics Aged, 80 and over Algorithms Models, Theoretical Pattern Recognition, Automated Adult Female Support Vector Machine Handwriting Biomechanical Phenomena Reproducibility of Results Tremor Male
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A probabilistic recurrent neural network for decoding hind limb kinematics from multi-segment recordings of the dorsal horn neurons.

Journal of neural engineering Mar 8, 2019
OBJECTIVE: Providing accurate and robust estimates of limb kinematics from recorded neural activities is prominent in closed-loop control of functional electrical stimulation (FES). A major issue in providing accurate decoding the limb kinematics is ...
Neural Networks, Computer Biomechanical Phenomena Animals Cats Models, Statistical Hindlimb Posterior Horn Cells
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