AIMC Topic: Movement

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Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease-A review.

Clinical neurology and neurosurgery Jul 16, 2019
Artificial intelligence, specifically machine learning, has found numerous applications in computer-aided diagnostics, monitoring and management of neurodegenerative movement disorders of parkinsonian type. These tasks are not trivial due to high int...
Parkinson Disease Movement Machine Learning Algorithms Databases, Factual Humans Artificial Intelligence
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Designing minimal and scalable insect-inspired multi-locomotion millirobots.

Nature Jul 10, 2019
In ant colonies, collectivity enables division of labour and resources with great scalability. Beyond their intricate social behaviours, individuals of the genus Odontomachus, also known as trap-jaw ants, have developed remarkable multi-locomotion me...
Robotics Gait Biomimetics Animals Movement Ants Locomotion
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On-field player workload exposure and knee injury risk monitoring via deep learning.

Journal of biomechanics Jul 8, 2019
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM) could provide an early warning system for athlete workload exposure and knee injury risk. Traditionally, this analysis has relied on captive laboratory force plate...
Humans Neural Networks, Computer Male Deep Learning Workload Motion Female Risk Factors Biomechanical Phenomena Anterior Cruciate Ligament Injuries Knee Injuries Risk Evaluation and Mitigation Athletes Sports Movement
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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Sensors (Basel, Switzerland) Jul 3, 2019
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, among other things, the movement patterns of children suffering it. Inattention, hyperactivity and impulsive behaviors, major symptoms characterizing ...
Male Humans Accelerometry Case-Control Studies Movement Ankle Child Neural Networks, Computer Adolescent Attention Deficit Disorder with Hyperactivity Wearable Electronic Devices Wrist Algorithms Acceleration Female
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Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network.

IEEE transactions on biomedical circuits and systems Jun 27, 2019
An accurate description of muscular activity plays an important role in the clinical diagnosis and rehabilitation research. The electromyography (EMG) is the most used technique to make accurate descriptions of muscular activity. The EMG is associate...
Humans Movement Neural Networks, Computer Motor Neurons Muscle, Skeletal Signal Processing, Computer-Assisted Hand Gestures Electromyography Models, Neurological Action Potentials
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A Novel Relative Position Estimation Method for Capsule Robot Moving in Gastrointestinal Tract.

Sensors (Basel, Switzerland) Jun 19, 2019
Recently, a variety of positioning and tracking methods have been proposed for capsule robots moving in the gastrointestinal (GI) tract to provide real-time unobstructed spatial pose results. However, the current absolute position-based result cannot...
Movement Robotics Humans Magnetics Gastrointestinal Tract Phantoms, Imaging
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Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 17, 2019
One of the major limitations of motor imagery (MI)-based brain-computer interface (BCI) is its long calibration time. Due to between sessions/subjects variations in the properties of brain signals, typically, a large amount of training data needs to ...
Humans Machine Learning Healthy Volunteers Psychomotor Performance Algorithms Electroencephalography Space Perception Imagination Calibration Brain-Computer Interfaces Movement
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Intelligent prediction of kinetic parameters during cutting manoeuvres.

Medical & biological engineering & computing Jun 15, 2019
Due to its capabilities in analysing injury risk, the ability to analyse an athlete's ground reaction force and joint moments is of high interest in sports biomechanics. However, using force plates for the kinetic measurements influences the athlete'...
Ankle Joint Movement Reproducibility of Results Biomechanical Phenomena Knee Joint Humans Analysis of Variance Models, Biological Neural Networks, Computer Athletes Hip Joint
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Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences.

IEEE transactions on pattern analysis and machine intelligence Jun 6, 2019
Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and articulations. Acquisition of such data requires expensive equipment, ca...
Imaging, Three-Dimensional Posture Models, Statistical Models, Biological Movement Machine Learning Female Male Infant Humans
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Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-consuming, non-scalable, inconsistent and subjective. Therefore, an automated system that can objectivel...
Male Accelerometry Surgeons Movement Female Humans Middle Aged Laparoscopy Sutures Young Adult Clinical Competence Robotic Surgical Procedures Neural Networks, Computer Motion Adult Minimally Invasive Surgical Procedures Algorithms Calibration
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