AIMC Topic: Biomechanical Phenomena

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Classifying muscle parameters with artificial neural networks and simulated lateral pinch data.

PloS one Sep 2, 2021
OBJECTIVE: Hill-type muscle models are widely employed in simulations of human movement. Yet, the parameters underlying these models are difficult or impossible to measure in vivo. Prior studies demonstrate that Hill-type muscle parameters are encode...
Hand Strength Computer Simulation Muscle, Skeletal Biomechanical Phenomena Tendons Electromyography Thumb Humans Neural Networks, Computer
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Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Symbolic regression is a powerful technique to discover analytic equations that describe data, which can lead to explainable models and the ability to predict unseen data. In contrast, neural networks have achieved amazing levels of accuracy on image...
Humans Neural Networks, Computer Research Design Deep Learning Feedback Computer Systems Biomechanical Phenomena Linear Models
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The Use of Synthetic IMU Signals in the Training of Deep Learning Models Significantly Improves the Accuracy of Joint Kinematic Predictions.

Sensors (Basel, Switzerland) Aug 31, 2021
Gait analysis based on inertial sensors has become an effective method of quantifying movement mechanics, such as joint kinematics and kinetics. Machine learning techniques are used to reliably predict joint mechanics directly from streams of IMU sig...
Biomechanical Phenomena Knee Joint Gait Analysis Gait Movement Deep Learning
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Deep learning analysis and age prediction from shoeprints.

Forensic science international Aug 30, 2021
Human gaits are the patterns of limb movements which involve both the upper and lower body parts. These patterns in terms of step rate, gait speed, stance widening, stride, and bipedal forces are influenced by different factors including environmenta...
Shoes Aged Datasets as Topic Deep Learning Biometry Humans Gait Aging Adult Sex Factors Middle Aged Neural Networks, Computer Biomechanical Phenomena Adolescent Child
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Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.

Journal of neuroengineering and rehabilitation Aug 30, 2021
BACKGROUND: Human beings can enhance their distance running performance with the help of assistive devices. Although several such devices are available, they are heavy and bulky, which limits their use in everyday activities. In this study, we develo...
Running Exoskeleton Device Robotics Walking Adult Biomechanical Phenomena Humans Young Adult
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An image-guided hybrid robot system for dental implant surgery.

International journal of computer assisted radiology and surgery Aug 27, 2021
PURPOSE: Dental implant surgery is an effective method for remediating the loss of teeth. Robot is expected to increase the accuracy of dental implant surgery. However, most of them are industrial serial robot, with low stiffness and non-unique inver...
Dental Implants Robotic Surgical Procedures Surgery, Computer-Assisted Biomechanical Phenomena Robotics Humans
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Elephants evolved strategies reducing the biomechanical complexity of their trunk.

Current biology : CB Aug 23, 2021
The elephant proboscis (trunk), which functions as a muscular hydrostat with a virtually infinite number of degrees of freedom, is a spectacular organ for delicate to heavy object manipulation as well as social and sensory functions. Using high-resol...
Biomechanical Phenomena Animals Torso Nose Robotics Movement
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MuscleNET: mapping electromyography to kinematic and dynamic biomechanical variables by machine learning.

Journal of neural engineering Aug 19, 2021
This paper proposes machine learning models for mapping surface electromyography (sEMG) signals to regression of joint angle, joint velocity, joint acceleration, joint torque, and activation torque.The regression models, collectively known as MuscleN...
Humans Torque Biomechanical Phenomena Muscle, Skeletal Neural Networks, Computer Electromyography Machine Learning
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Automated detection and explainability of pathological gait patterns using a one-class support vector machine trained on inertial measurement unit based gait data.

Clinical biomechanics (Bristol, Avon) Aug 17, 2021
BACKGROUND: Machine learning approaches for the classification of pathological gait based on kinematic data, e.g. derived from inertial sensors, are commonly used in terms of a multi-class classification problem. However, there is a lack of research ...
Support Vector Machine Gait Humans Arthroplasty, Replacement, Hip Machine Learning Biomechanical Phenomena
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Fish can save energy via proprioceptive sensing.

Bioinspiration & biomimetics Aug 16, 2021
Fish have evolved diverse and robust locomotive strategies to swim efficiently in complex fluid environments. However, we know little, if anything, about how these strategies can be achieved. Although most studies suggest that fish rely on the latera...
Swimming Biomechanical Phenomena Lateral Line System Robotics Animals Fishes
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