AIMC Topic: Spinal Cord Injuries

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A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance.

Experimental neurology Mar 5, 2020
Individuals with tetraplegia, typically attributed to spinal cord injuries (SCI) at the cervical level, experience significant health care costs and loss of independence due to their limited reaching and grasping capabilities. Neuromuscular electrica...
Movement Exoskeleton Device Upper Extremity Electric Stimulation Therapy Humans Robotics Combined Modality Therapy Spinal Cord Injuries
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Automatic versus manual tuning of robot-assisted gait training in people with neurological disorders.

Journal of neuroengineering and rehabilitation Jan 28, 2020
BACKGROUND: In clinical practice, therapists choose the amount of assistance for robot-assisted training. This can result in outcomes that are influenced by subjective decisions and tuning of training parameters can be time-consuming. Therefore, vari...
Spinal Cord Injuries Exoskeleton Device Stroke Rehabilitation Gait Disorders, Neurologic Male Middle Aged Robotics Humans Algorithms Female Adult
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Highest ambulatory speed using Lokomat gait training for individuals with a motor-complete spinal cord injury: a clinical pilot study.

Acta neurochirurgica Dec 24, 2019
BACKGROUND: Motor impairment and loss of ambulatory function are major consequences of a spinal cord injury (SCI). Exoskeletons are robotic devices that allow SCI patients with limited ambulatory function to walk. The mean walking speed of SCI patien...
Humans Female Walking Speed Exoskeleton Device Muscle Spasticity Pilot Projects Robotics Exercise Therapy Spinal Cord Injuries Adult Male Middle Aged
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Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.

Artificial intelligence in medicine Nov 19, 2019
Due to growth in population, Individual persons with disabilities are increasing daily. To overcome the disability especially in Locked in State (LIS) due to Spinal Cord Injury (SCI), we planned to design four states moving robot from four imagery ta...
Electroencephalography Electrodes Sex Characteristics Healthy Volunteers Adult Male Middle Aged Communication Devices for People with Disabilities Locked-In Syndrome Brain-Computer Interfaces Wavelet Analysis Spinal Cord Injuries Algorithms Computer Simulation Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer
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Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.

The spine journal : official journal of the North American Spine Society Sep 13, 2019
BACKGROUND CONTEXT: Traumatic spinal cord injury can have a dramatic effect on a patient's life. The degree of neurologic recovery greatly influences a patient's treatment and expected quality of life. This has resulted in the development of machine ...
Spinal Cord Injuries Neurologic Examination Unsupervised Machine Learning Recovery of Function Walking Humans Prognosis Female Aged Adult Male Middle Aged
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Effect of EMG-biofeedback robotic-assisted body weight supported treadmill training on walking ability and cardiopulmonary function on people with subacute spinal cord injuries - a randomized controlled trial.

BMC neurology Jun 24, 2019
BACKGROUND: Body weight supported treadmill training (BWSTT) is a frequently used approach for restoring the ability to walk after spinal cord injury (SCI). However, the duration of BWSTT is usually limited by fatigue of the therapists and patients. ...
Adolescent Robotics Oxygen Consumption Biofeedback, Psychology Exercise Test Electromyography Walking Female Adult Male Middle Aged Humans Physical Therapy Modalities Body Weight Cardiorespiratory Fitness Spinal Cord Injuries
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Exoskeletons for Personal Use After Spinal Cord Injury.

Archives of physical medicine and rehabilitation Jun 20, 2019
Before the development of robotic exoskeletons, mobility options beyond a wheelchair were very limited for most people lacking leg movement due to spinal cord injury (SCI). Over the years, robotic exoskeletons have become more widely available and no...
Exoskeleton Device Humans Robotics Spinal Cord Injuries
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Novel stochastic framework for automatic segmentation of human thigh MRI volumes and its applications in spinal cord injured individuals.

PloS one May 9, 2019
Severe spinal cord injury (SCI) leads to skeletal muscle atrophy and adipose tissue infiltration in the skeletal muscle, which can result in compromised muscle mechanical output and lead to health-related complications. In this study, we developed a ...
Imaging, Three-Dimensional Models, Theoretical Humans Magnetic Resonance Imaging Neural Networks, Computer Spinal Cord Injuries Algorithms
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Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury.

AJNR. American journal of neuroradiology Mar 28, 2019
BACKGROUND AND PURPOSE: Our aim was to use 2D convolutional neural networks for automatic segmentation of the spinal cord and traumatic contusion injury from axial T2-weighted MR imaging in a cohort of patients with acute spinal cord injury.
Spinal Cord Injuries Motor Disorders Contusions Humans Female Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Offline and online myoelectric pattern recognition analysis and real-time control of a robotic hand after spinal cord injury.

Journal of neural engineering Mar 5, 2019
OBJECTIVE: The objective of this study was to investigate the feasibility of applying myoelectric pattern recognition for controlling a robotic hand in individuals with spinal cord injury (SCI).
Spinal Cord Injuries Exoskeleton Device Humans Female Aged Adult Robotics Hand Electromyography Pattern Recognition, Automated Male Middle Aged Computer Systems
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