AIMC Topic: Movement

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Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements - a pilot study.

Journal of neuroengineering and rehabilitation Mar 20, 2019
BACKGROUND: Intensive robot-assisted training of the upper limb after stroke can reduce motor impairment, even at the chronic stage. However, the effectiveness of practice for recovery depends on the selection of the practised movements. We hypothesi...
Adult Male Middle Aged Pilot Projects Humans Female Aged Young Adult Robotics Physical Therapy Modalities Movement Stroke Rehabilitation Paresis Upper Extremity
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Regression convolutional neural network for improved simultaneous EMG control.

Journal of neural engineering Mar 8, 2019
OBJECTIVE: Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neur...
Movement Machine Learning Female Adult Male Regression Analysis Electromyography Motion Humans Random Allocation Neural Networks, Computer
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Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact.

IEEE journal of biomedical and health informatics Mar 7, 2019
OBJECTIVE: The complex nature of Parkinson's disease (PD) makes difficult to rate its severity, mainly based on the visual inspection of motor impairments. Wearable sensors have been demonstrated to help overcoming such a difficulty, by providing obj...
Aged Aged, 80 and over Adult Male Humans Machine Learning Female Equipment Design Signal Processing, Computer-Assisted Accelerometry Movement Middle Aged Wearable Electronic Devices Monitoring, Physiologic Parkinson Disease
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Movement time and guidance accuracy in teleoperation of robotic vehicles.

Ergonomics Feb 27, 2019
Two experiments are reported on the steering of a tracked vehicle through straight-line courses and corners to determine the relationships between movement time and control accuracy with the geometry of the course, such as the vehicle width, the trac...
Ergonomics Movement Mathematics Video Games Male Robotics Automobile Driving Task Performance and Analysis Humans Female Young Adult Adult
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Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control.

IEEE transactions on bio-medical engineering Feb 26, 2019
SIGNIFICANCE: The performance of traditional approaches to decoding movement intent from electromyograms (EMGs) and other biological signals commonly degrade over time. Furthermore, conventional algorithms for training neural network based decoders m...
Artificial Limbs Intention Movement Biomedical Engineering Deep Learning Humans Signal Processing, Computer-Assisted Algorithms Electromyography Amputees
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Physiological and kinematic effects of a soft exosuit on arm movements.

Journal of neuroengineering and rehabilitation Feb 22, 2019
BACKGROUND: Soft wearable robots (exosuits), being lightweight, ergonomic and low power-demanding, are attractive for a variety of applications, ranging from strength augmentation in industrial scenarios, to medical assistance for people with motor i...
Self-Help Devices Hamstring Muscles Movement Exoskeleton Device Muscle Fatigue Wearable Electronic Devices Robotics Elbow Electromyography Prosthesis Design Torque Arm Isometric Contraction Female Adult Humans Biomechanical Phenomena Male
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Implementing artificial neural networks through bionic construction.

PloS one Feb 22, 2019
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural...
Drosophila melanogaster Bionics Algorithms Nerve Net Neural Networks, Computer Visual Pathways Animals Movement Artificial Intelligence Color Visual Perception Machine Learning Pattern Recognition, Automated
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Deep Learning for Sensor-Based Rehabilitation Exercise Recognition and Evaluation.

Sensors (Basel, Switzerland) Feb 20, 2019
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exercise recognition using sensor data. It consists of two novel components: a dynamic convolutional neural network (D-CNN) and a state transition probabi...
Deep Learning Exercise Therapy Pattern Recognition, Automated Movement Humans Algorithms
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Leaving hip rotation out of a conventional 3D gait model improves discrimination of pathological gait in cerebral palsy: A novel neural network analysis.

Gait & posture Feb 19, 2019
BACKGROUND: Complex clinical gait analysis results can be expressed as single number gait deviations by applying multivariate processing methods. The original Movement Deviation Profile (MDP) quantifies the deviation of abnormal gait using the most t...
Gait Disorders, Neurologic Hip Joint Humans Cerebral Palsy Neural Networks, Computer Gait Analysis Child Movement Rotation
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A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.

IEEE transactions on bio-medical engineering Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Middle Aged Wearable Electronic Devices Parkinson Disease Signal Processing, Computer-Assisted Wrist Monitoring, Ambulatory Accelerometry Normal Distribution Female Reproducibility of Results Aged Male Humans Machine Learning Movement Hypokinesia Tremor
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