AIMC Topic: Stroke
Clear Filters Showing 641 to 650 of 1164 articles
Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training.
Sensors (Basel, Switzerland)
Jun 16, 2020
Functional electrical stimulation and robot-assisted gait training are techniques which are used in a clinical routine to enhance the rehabilitation process of stroke patients. By combining these technologies, therapy effects could be further improve...
Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Affect
Virtual Reality Exposure Therapy
Stroke Rehabilitation
Executive Function
Gait
Exercise Therapy
Attention
Activities of Daily Living
Treatment Outcome
Health Status
Recovery of Function
Chronic Disease
Robotics
Disability Evaluation
Italy
Stroke
Middle Aged
Quality of Life
Time Factors
Cognition
Female
Adult
Humans
Mental Health
Male
A systematic review of machine learning models for predicting outcomes of stroke with structured data.
PloS one
Jun 12, 2020
BACKGROUND AND PURPOSE: Machine learning (ML) has attracted much attention with the hope that it could make use of large, routinely collected datasets and deliver accurate personalised prognosis. The aim of this systematic review is to identify and c...
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.
Journal of neuroengineering and rehabilitation
Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
A Case of Neuromuscular Electrical Stimulation for Childhood Stroke Hyperkinesis: A Brief Report.
Developmental neurorehabilitation
Jun 7, 2020
AIM: Some conditions within specific populations are so rare rigorous evidence is unavailable. Childhood hyperkinesis is one example, yet presents an opportunity to examine sensation's contribution to motor function.
Effects of gait exercise assist robot (GEAR) on subjects with chronic stroke: A randomized controlled pilot trial.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 5, 2020
OBJECTIVE: The aim of this study was to investigate whether gait training using the Gait Exercise Assist Robot (GEAR) is more effective for improving gait ability than treadmill gait training in chronic stroke subjects.
Maximal Performance of an Antagonistically Coupled Dielectric Elastomer Actuator System.
Soft robotics
Jun 2, 2020
Dielectric elastomer actuators (DEAs) have been shown to produce electrically induced strains beyond 500%. The ability to undergo large deformation allows the DEA to store large amounts of elastic energy by electrical actuation; it also allows the DE...
Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network.
NeuroImage. Clinical
May 26, 2020
In this paper, we demonstrate the feasibility and performance of deep residual neural networks for volumetric segmentation of irreversibly damaged brain tissue lesions on T1-weighted MRI scans for chronic stroke patients. A total of 239 T1-weighted M...
The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical trial.
Topics in stroke rehabilitation
May 21, 2020
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using upper limb-based robot machines present opportunities to resolve the limitations inherent in Occupational therapy such as increased therapist-patient e...
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.
PloS one
May 21, 2020
Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. However, both novel risk factors and their interplay influencing stroke incidence are difficult to reveal using traditional additive models. The goal of...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32121
- Neural Networks, Computer 30269
- Algorithms 27470
- Deep Learning 26967
- Artificial Intelligence 24893
- Robotics 13400
- Image Processing, Computer-Assisted 9754
- Retrospective Studies 9375
- Magnetic Resonance Imaging 6360
- Reproducibility of Results 5676
- Tomography, X-Ray Computed 4877
- Support Vector Machine 4777
- Computational Biology 4349
- Brain 4136
- Computer Simulation 3939
Recent Journals
- Scientific reports 6954
- Sensors (Basel, Switzerland) 4794
- PloS one 4240
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1186
- Journal of chemical information and modeling 1076
- Nature communications 1063
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 872
- IEEE transactions on neural networks and learning systems 859