AIMC Topic: Multiple Sclerosis

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A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis.

PloS one Jun 1, 2017
Gait speed is a powerful clinical marker for mobility impairment in patients suffering from neurological disorders. However, assessment of gait speed in coordination with delivery of comprehensive care is usually constrained to clinical environments ...
Multiple Sclerosis Male Case-Control Studies Biosensing Techniques Skin Gait Humans Machine Learning Female Young Adult Adult
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Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

NeuroImage Apr 19, 2017
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D patch-wise convolutional neural networks (CNN). The first network is ...
Imaging, Three-Dimensional Multiple Sclerosis Image Interpretation, Computer-Assisted Neuroimaging White Matter Humans Neural Networks, Computer Brain
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Exploration of machine learning techniques in predicting multiple sclerosis disease course.

PloS one Apr 5, 2017
OBJECTIVE: To explore the value of machine learning methods for predicting multiple sclerosis disease course.
Humans Machine Learning Brain Female Adult Sensitivity and Specificity Male Disease Progression Logistic Models Support Vector Machine Magnetic Resonance Imaging Multiple Sclerosis Neuroimaging
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Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial.

Journal of the neurological sciences Mar 29, 2017
Gait, coordination, and balance may be severely compromised in patients with multiple sclerosis (MS), with considerable consequences on the patient's daily living activities, psychological status and quality of life. For this reason, MS patients may ...
Single-Blind Method Gait Exercise Therapy Activities of Daily Living Outcome Assessment, Health Care Virtual Reality Robotics Postural Balance Disability Evaluation Humans Multiple Sclerosis Female Adult Male Middle Aged Psychiatric Status Rating Scales Depression
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Early recognition of multiple sclerosis using natural language processing of the electronic health record.

BMC medical informatics and decision making Feb 28, 2017
BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if ...
Male Middle Aged Diagnosis, Computer-Assisted Cohort Studies Natural Language Processing Multiple Sclerosis Early Diagnosis Electronic Health Records Female Aged Adult Humans
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Machine learning based compartment models with permeability for white matter microstructure imaging.

NeuroImage Feb 8, 2017
Some microstructure parameters, such as permeability, remain elusive because mathematical models that express their relationship to the MR signal accurately are intractable. Here, we propose to use computational models learned from simulations to est...
Adult Male Middle Aged Models, Theoretical Permeability Brain Computer Simulation Female Young Adult Echo-Planar Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Monte Carlo Method White Matter Humans Machine Learning
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Increased default-mode network centrality in cognitively impaired multiple sclerosis patients.

Neurology Feb 8, 2017
OBJECTIVE: To investigate how changes in functional network hierarchy determine cognitive impairment in multiple sclerosis (MS).
Humans Neural Networks, Computer Brain Female Neural Pathways Cohort Studies Neuropsychological Tests Image Processing, Computer-Assisted Magnetic Resonance Imaging Multiple Sclerosis Cognition Disorders Aged Adult Male Middle Aged
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The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

Disability and rehabilitation. Assistive technology Jan 26, 2017
PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robot-mediated training regime for people with MS (pwMS) and stroke patients.
Upper Extremity Muscle Fatigue Stroke Rehabilitation Adult Male Middle Aged Hand Strength Recovery of Function Chronic Disease Robotics Multiple Sclerosis Range of Motion, Articular Humans Prospective Studies Female Aged
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Robot-guided ankle sensorimotor rehabilitation of patients with multiple sclerosis.

Multiple sclerosis and related disorders Dec 12, 2016
BACKGROUND: People with multiple sclerosis (MS) often develop symptoms including muscle weakness, spasticity, imbalance, and sensory loss in the lower limbs, especially at the ankle, which result in impaired balance and locomotion and increased risk ...
Pilot Projects Locomotion Humans Female Robotics Ankle Treatment Outcome Biomechanical Phenomena Proprioception Follow-Up Studies Postural Balance Male Musculoskeletal Manipulations Muscle, Skeletal Multiple Sclerosis Middle Aged Muscle Strength Range of Motion, Articular
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Does robot-assisted gait training improve ambulation in highly disabled multiple sclerosis people? A pilot randomized control trial.

Multiple sclerosis (Houndmills, Basingstoke, England) Aug 11, 2016
BACKGROUND: Robotic training is commonly used to assist walking training in patients affected by multiple sclerosis (MS) with non-conclusive results.
Robotics Disability Evaluation Single-Blind Method Walking Gait Male Humans Exercise Therapy Middle Aged Female Multiple Sclerosis Severity of Illness Index Gait Disorders, Neurologic Aged Pilot Projects Adult
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