AIMC Topic: Stroke
Clear Filters Showing 821 to 830 of 1168 articles
Stroke: Wearable robot aids walking after stroke.
Nature reviews. Neurology
Aug 11, 2017
Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 4, 2017
BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpe...
Time Factors
Health Status
Predictive Value of Tests
Equipment Design
Signal Processing, Computer-Assisted
Biomechanical Phenomena
Male
Middle Aged
Case-Control Studies
Video Recording
Fitness Trackers
Actigraphy
Movement
Upper Extremity
Stroke
Feasibility Studies
Activities of Daily Living
Acceleration
Humans
Reproducibility of Results
Aged
Adult
Machine Learning
Female
Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial.
Trials
Jul 20, 2017
BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the protocol for a pragmatic, multicentre randomised controlled trial to determine whether robot-assisted training improves upper limb function following ...
Quality of Life
Time Factors
Treatment Outcome
Recovery of Function
Robotics
Humans
Research Design
Biomechanical Phenomena
Models, Economic
Quality-Adjusted Life Years
United Kingdom
State Medicine
Health Care Costs
Disability Evaluation
Stroke
Exercise Therapy
Cost-Benefit Analysis
Upper Extremity
Stroke Rehabilitation
Clinical Protocols
Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance.
Clinical science (London, England : 1979)
Jun 28, 2017
In the brain, enlarged perivascular spaces (PVS) relate to cerebral small vessel disease (SVD), poor cognition, inflammation and hypertension. We propose a fully automatic scheme that uses a support vector machine (SVM) to classify the burden of PVS ...
Artificial intelligence in healthcare: past, present and future.
Stroke and vascular neurology
Jun 21, 2017
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI ...
KAPS (kinematic assessment of passive stretch): a tool to assess elbow flexor and extensor spasticity after stroke using a robotic exoskeleton.
Journal of neuroengineering and rehabilitation
Jun 19, 2017
BACKGROUND: Spasticity is a common sequela of stroke. Traditional assessment methods include relatively coarse scales that may not capture all characteristics of elevated muscle tone. Thus, the aim of this study was to develop a tool to quantitativel...
Robotics in Lower-Limb Rehabilitation after Stroke.
Behavioural neurology
Jun 8, 2017
With the increase in the elderly, stroke has become a common disease, often leading to motor dysfunction and even permanent disability. Lower-limb rehabilitation robots can help patients to carry out reasonable and effective training to improve the m...
Hemorrhagic versus ischemic stroke: Who can best benefit from blended conventional physiotherapy with robotic-assisted gait therapy?
PloS one
Jun 2, 2017
BACKGROUND: Contrary to common belief of clinicians that hemorrhagic stroke survivors have better functional prognoses than ischemic, recent studies show that ischemic survivors could experience similar or even better functional improvements. However...
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting.
Journal of medical Internet research
May 25, 2017
BACKGROUND: Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals...
Effects of robot-assisted upper limb rehabilitation in stroke patients: a systematic review with meta-analysis.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
May 24, 2017
Technology-supported training is emerging as a solution to support therapists in their efforts providing high-intensity, repetitive, and task-specific treatment, in order to enhance the recovery process. The aim of this review is to assess the effect...
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