AIMC Topic: Motor Activity
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Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.
Computational intelligence and neuroscience
Oct 19, 2017
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. Th...
A hierarchical structure for human behavior classification using STN local field potentials.
Journal of neuroscience methods
Oct 7, 2017
BACKGROUND: Classification of human behavior from brain signals has potential application in developing closed-loop deep brain stimulation (DBS) systems. This paper presents a human behavior classification using local field potential (LFP) signals re...
The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 14, 2017
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the ro...
Humans
Female
Video Games
Stroke Rehabilitation
Recovery of Function
Time Factors
Aged
Chronic Disease
Treatment Outcome
Biomechanical Phenomena
Robotics
Stroke
Neuronal Plasticity
Male
Hand
Range of Motion, Articular
Muscle Strength
Middle Aged
Adaptation, Psychological
Virtual Reality Exposure Therapy
Motor Activity
Deep learning with convolutional neural networks for EEG decoding and visualization.
Human brain mapping
Aug 7, 2017
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end-to-end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end-to-end EEG analysis, but...
Robot-Applied Resistance Augments the Effects of Body Weight-Supported Treadmill Training on Stepping and Synaptic Plasticity in a Rodent Model of Spinal Cord Injury.
Neurorehabilitation and neural repair
Jul 25, 2017
BACKGROUND: The application of resistive forces has been used during body weight-supported treadmill training (BWSTT) to improve walking function after spinal cord injury (SCI). Whether this form of training actually augments the effects of BWSTT is ...
Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.
BioMed research international
Jul 18, 2017
Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emergi...
Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics.
Artificial life
May 17, 2017
One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in simulation to robots in the real world. In this article, we investigate abstraction of the sensory inputs and motor actions as a tool to tackle this prob...
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.
Artificial intelligence in medicine
Mar 31, 2017
OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of life of patients. Since PD is a chronic disease, its efficient monitoring and management is very impor...
Predictive Value of Tests
Feasibility Studies
Antiparkinson Agents
Hypokinesia
Dyskinesia, Drug-Induced
Retrospective Studies
Female
Motor Activity
Sweden
Upper Extremity
Aged
Image Processing, Computer-Assisted
Male
Treatment Outcome
Health Status
Humans
Middle Aged
Parkinson Disease
Machine Learning
Severity of Illness Index
Diagnosis, Computer-Assisted
Time Factors
Mantisbot is a robotic model of visually guided motion in the praying mantis.
Arthropod structure & development
Mar 28, 2017
Insects use highly distributed nervous systems to process exteroception from head sensors, compare that information with state-based goals, and direct posture or locomotion toward those goals. To study how descending commands from brain centers produ...
Automatic matching of surgeries to predict surgeons' next actions.
Artificial intelligence in medicine
Mar 24, 2017
OBJECTIVE: More than half a million surgeries are performed every day worldwide, which makes surgery one of the most important component of global health care. In this context, the objective of this paper is to introduce a new method for the predicti...
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