AIMC Topic: Movement

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Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge.

Scientific reports Jul 7, 2025
The selection of the most efficient actuator for biohybrid robots necessitates the implementation of precise and reliable decision-making (DM) methods. Dynamic aggregation operators (AOs) provide flexibility and consistency in DM by embracing time-de...
Fuzzy Logic Robotics Motion Movement Humans Algorithms Computer Simulation
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Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls.

Scientific reports Jul 1, 2025
This study evaluated the discriminative potential of a machine learning model using movement features during functional tasks to distinguish between patients with non-traumatic chronic neck pain and asymptomatic controls. The study included patients ...
Male Middle Aged Case-Control Studies Female Adult Biomechanical Phenomena Neck Pain Range of Motion, Articular Movement Chronic Pain Humans Machine Learning
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Humans Neural Networks, Computer Imagination Signal Processing, Computer-Assisted Algorithms Brain-Computer Interfaces Brain Movement Electroencephalography
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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force.

Scientific reports Jul 1, 2025
The gradual research in integrating artificial intelligence in the Dielectrophoresis system is rapid since the evolution of AI in every aspect of technology since the early 2020s. The benefits of AI integration into DEP systems include improving posi...
Algorithms Staphylococcus aureus Escherichia coli Electrophoresis Movement
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Data augmentation of time-series data in human movement biomechanics: A scoping review.

PloS one Jul 1, 2025
BACKGROUND: The integration of machine learning and deep learning methodologies has transformed data analytics in biomechanics. However, the field faces challenges such as limited large-scale data sets, high data acquisition costs, and restricted par...
Biomechanical Phenomena Deep Learning Movement Humans Machine Learning Algorithms
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Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Journal of neural engineering Jun 27, 2025
Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries by 'decoding' neural signals into behavior. Recently, nonlinear BMI decoders have outperformed previous state-of-the-art linear decoders, but few studi...
Fingers Movement Motor Cortex Macaca mulatta Male Linear Models Brain-Computer Interfaces Neural Networks, Computer Animals
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Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.

Biomedical physics & engineering express Jun 18, 2025
Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, making it a strong candidate for a neurophysiological biomarker. We investigate the test-retest reliability of Lpower and kinematic features from a rob...
Young Adult Adult Biomechanical Phenomena Humans Arm Male Female Movement Robotics Reproducibility of Results Electroencephalography
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High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.

Physics in medicine and biology Jun 17, 2025
To develop motion-resolved volumetric MRI with 1.1 mm isotropic resolution and scan times <5 min using a combination of 3D radial kooshball acquisition and spatial-temporal deep learning 4D reconstruction for free-breathing high-definition (HD) lung ...
Time Factors Male Magnetic Resonance Imaging Imaging, Three-Dimensional Humans Lung Respiration Lung Neoplasms Deep Learning Female Movement Adult
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Upper limb human-exoskeleton system motion state classification based on semg: application of CNN-BiLSTM-attention model.

Scientific reports May 30, 2025
This study aims to classify five typical motion states of the human upper limb based on surface electromyography signals, thereby supporting the real-time control system of an assistive upper limb exoskeleton. We propose a deep learning model combini...
Upper Extremity Humans Deep Learning Muscle, Skeletal Electromyography Motion Movement Exoskeleton Device Young Adult Neural Networks, Computer Adult Algorithms Male Female
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Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems.

Scientific reports May 27, 2025
Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. However, the vali...
Athletes Hip Joint Ankle Joint Movement Motion Capture Lower Extremity Humans Young Adult Knee Joint Biomechanical Phenomena Kinetics Male
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