AIMC Topic: Motor Activity

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Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.

NeuroImage Mar 26, 2018
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such trea...
Young Adult Adult Biomechanical Phenomena Male Humans Female Neural Pathways Brain Waves Motor Activity Adaptation, Physiological Motor Cortex Prefrontal Cortex Robotics Electroencephalography Arm
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Using echo state networks for classification: A case study in Parkinson's disease diagnosis.

Artificial intelligence in medicine Feb 21, 2018
Despite having notable advantages over established machine learning methods for time series analysis, reservoir computing methods, such as echo state networks (ESNs), have yet to be widely used for practical data mining applications. In this paper, w...
Humans Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Transducers Signal Processing, Computer-Assisted Time Factors Activities of Daily Living Parkinson Disease Electromagnetic Phenomena Predictive Value of Tests Motor Activity Equipment Design
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Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering.

Biological cybernetics Feb 16, 2018
A conceptual and computational framework is proposed for modelling of human sensorimotor control and is exemplified for the sensorimotor task of steering a car. The framework emphasises control intermittency and extends on existing models by suggesti...
Motor Activity Feedback, Sensory Humans Neural Networks, Computer Computer Simulation Decision Making Predictive Value of Tests Automobile Driving Psychomotor Performance
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Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models.

Computational intelligence and neuroscience Feb 12, 2018
Human detection in videos plays an important role in various real life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Moreover, they are highly suscept...
Machine Learning Time Factors Image Processing, Computer-Assisted Motion Video Recording Pattern Recognition, Automated Motor Activity Humans Neural Networks, Computer
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Effect of a robotic seal on the motor activity and sleep patterns of older people with dementia, as measured by wearable technology: A cluster-randomised controlled trial.

Maturitas Jan 13, 2018
OBJECTIVES: The robotic seal, PARO, has been used as an alternative to animal-assisted therapies with residents with dementia in long-term care, yet understanding of its efficacy is limited by a paucity of research. We explored the effects of PARO on...
Wearable Electronic Devices Dementia Robotics Single-Blind Method Female Aged Aged, 80 and over Male Long-Term Care Sleep Nursing Homes Motor Activity Queensland Humans
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Combining robotic training and inactivation of the healthy hemisphere restores pre-stroke motor patterns in mice.

eLife Dec 27, 2017
Focal cortical stroke often leads to persistent motor deficits, prompting the need for more effective interventions. The efficacy of rehabilitation can be increased by 'plasticity-stimulating' treatments that enhance experience-dependent modification...
Motor Activity Stroke Rehabilitation Motor Cortex Forelimb Dominance, Cerebral Disease Models, Animal Recovery of Function Robotics Stroke Animals Mice
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Robotic exoskeleton assessment of transient ischemic attack.

PloS one Dec 22, 2017
We used a robotic exoskeleton to quantify specific patterns of abnormal upper limb motor behaviour in people who have had transient ischemic attack (TIA). A cohort of people with TIA was recruited within two weeks of symptom onset. All individuals co...
Robotics Arm Ischemic Attack, Transient Motor Activity Humans Female Male
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Emergent coordination underlying learning to reach to grasp with a brain-machine interface.

Journal of neurophysiology Dec 13, 2017
The development of coordinated reach-to-grasp movement has been well studied in infants and children. However, the role of motor cortex during this development is unclear because it is difficult to study in humans. We took the approach of using a bra...
Macaca mulatta Conditioning, Operant Female Animals Robotics Artificial Limbs Behavior, Animal Neurons Motor Activity Arm Amputation, Surgical Psychomotor Performance Motor Cortex Brain-Computer Interfaces
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Effectiveness of robot-assisted training added to conventional rehabilitation in patients with humeral fracture early after surgical treatment: protocol of a randomised, controlled, multicentre trial.

Trials Dec 6, 2017
BACKGROUND: The incidence of proximal humeral fractures increases with age. The functional recovery of the upper arm after such fractures is slow, and results are often disappointing. Treatment is associated with long immobilisation periods. Evidence...
Humans Research Design Prospective Studies Recovery of Function Robotics Shoulder Fractures Occupational Therapy Fracture Fixation Pain Measurement Range of Motion, Articular Motor Activity Germany Physical Therapy Modalities Shoulder Joint Clinical Protocols Disability Evaluation Radiotherapy, Computer-Assisted Single-Blind Method Male Middle Aged Time Factors Treatment Outcome Female Aged Adult Biomechanical Phenomena
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Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI.

Computational and mathematical methods in medicine Nov 14, 2017
Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with...
Probability Brain-Computer Interfaces Decision Making Wheelchairs Movement Humans Bayes Theorem Motor Activity Machine Learning Electroencephalography Algorithms Signal Processing, Computer-Assisted Reproducibility of Results
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