AIMC Topic: Movement

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ECA-FusionNet: a hybrid EEG-fNIRS signals network for MI classification.

Journal of neural engineering Feb 7, 2025
. Among all BCI paradigms, motion imagery (MI) has gained favor among researchers because it allows users to control external devices by imagining movements rather than actually performing actions. This property holds important promise for clinical a...
Movement Imagination Electroencephalography Humans Brain-Computer Interfaces Brain Neural Networks, Computer Spectroscopy, Near-Infrared
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Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.

Biophysical journal Feb 6, 2025
The random motion of molecules in living cells has consistently been reported to deviate from standard Brownian motion, a behavior coined as "anomalous diffusion." To study this phenomenon in living cells, fluorescence correlation spectroscopy (FCS) ...
Diffusion Motion Movement Machine Learning Spectrometry, Fluorescence
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Machine learning enables high-throughput, low-replicate screening for novel anti-seizure targets and compounds using combined movement and calcium fluorescence in larval zebrafish.

European journal of pharmacology Feb 4, 2025
Identifying new anti-seizure medications (ASMs) is difficult due to limitations in animal-based assays. Zebrafish (Danio rerio) serve as a model for chemical and genetic seizures, but current methods for detecting anti-seizure responses are limited b...
High-Throughput Screening Assays Movement Valproic Acid Larva Pentylenetetrazole Seizures Zebrafish Calcium Anticonvulsants Drug Evaluation, Preclinical Machine Learning Animals Fluorescence
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Error fields: personalized robotic movement training that augments one's more likely mistakes.

Scientific reports Feb 4, 2025
Control of movement is learned and uses error feedback during practice to predict actions for the next movement. We previously showed that augmenting error can enhance learning, but while such findings are encouraging, the methods need to be refined ...
Humans Learning Female Robotics Psychomotor Performance Movement Young Adult Adult Male
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Spatio-temporal transformers for decoding neural movement control.

Journal of neural engineering Feb 4, 2025
. Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to...
Animals Male Spatio-Temporal Analysis Neural Networks, Computer Psychomotor Performance Movement Models, Neurological Motor Cortex Macaca mulatta Action Potentials Neurons
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Synthetic data generation in motion analysis: A generative deep learning framework.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 4, 2025
Generative deep learning has emerged as a promising data augmentation technique in recent years. This approach becomes particularly valuable in areas such as motion analysis, where it is challenging to collect substantial amounts of data. The objecti...
Humans Movement Knee Joint Hip Joint Mechanical Phenomena Biomechanical Phenomena Male Deep Learning
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Artificial neural networks' estimations of lower-limb kinetics in sidestepping: Comparison of full-body vs. lower-body landmark sets.

Journal of biomechanics Jan 27, 2025
Artificial neural networks (ANNs) offers potential for obtaining kinetics in non-laboratory. This study compared the estimation performance for ground reaction forces (GRF) and lower-limb joint moments during sidestepping between ANNs fed with full-b...
Lower Extremity Knee Joint Kinetics Soccer Hip Joint Movement Adult Biomechanical Phenomena Male Humans Neural Networks, Computer Young Adult
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A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

Gait & posture Jan 26, 2025
BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); however, accurate 3D joint motion measurement, which requires sensor fusion and signal processing, sensor alignment with segments and joint axis calibratio...
Wearable Electronic Devices Lower Extremity Walking Female Adult Male Joints Walking Speed Movement Generative Adversarial Networks Running Healthy Volunteers Gait Analysis Humans Machine Learning
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An Active Control Method for a Lower Limb Rehabilitation Robot with Human Motion Intention Recognition.

Sensors (Basel, Switzerland) Jan 24, 2025
This study presents a method for the active control of a follow-up lower extremity exoskeleton rehabilitation robot (LEERR) based on human motion intention recognition. Initially, to effectively support body weight and compensate for the vertical mov...
Electromyography Motion Algorithms Movement Humans Lower Extremity Exoskeleton Device Neural Networks, Computer Robotics Rehabilitation Machine Learning
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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.

Sensors (Basel, Switzerland) Jan 16, 2025
In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when...
Humans Monitoring, Physiologic Posture Wrist Male Movement Machine Learning Hospitals Beds Female Support Vector Machine Adult
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