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Life After Stroke
Throughout March theCochrane UK team will be looking at the theme of ' life after stroke. ' This will include Cochrane evidence, ongoing research and the perspectives of stroke survivors, researchers and health professionals on life after stroke from the acute phase to rehabilitation and long-term effects and adjustments.See below for a round-up of materials or follow along on Twitter with the hastag#LifeAfterStrokeBlogpostsLife after stroke: a special series from Cochrane UKCochrane EvidenceLife After Stroke: a round up of Cochrane evidenceAll of the Cochrane Reviews on stroke can be found here, in the Cochrane Library.Fi...
Source: Cochrane News and Events - February 15, 2018 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Cochrane Stroke vs COVID-19: Making it easy for people to find relevant COVID-19 evidence
Stroke is a leading cause of death and disability worldwide. The chances of having a stroke increase with age and older people also appear to suffer greater consequences from COVID-19. There may be a link between COVID-19 and new strokes, so healthcare professionals may be caring for people who have both COVID-19 and stroke.Cochrane Stroke heard from stroke care professionals and researchers that it was difficult to find relevant material amongst the thousands of articles available. To address this need, they collated useful resources for stroke care teams on their website. In addition, they made it easier for people to fi...
Source: Cochrane News and Events - November 24, 2020 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Cochrane Stroke vs. COVID-19: Making it easy for people to find relevant COVID-19 evidence
Stroke is a leading cause of death and disability worldwide. The chances of having a stroke increase with age and older people also appear to suffer greater consequences from COVID-19. There may be a link between COVID-19 and new strokes, so healthcare professionals may be caring for people who have both COVID-19 and stroke.Cochrane Stroke heard from stroke care professionals and researchers that it was difficult to find relevant material amongst the thousands of articles available. To address this need, they collated useful resources for stroke care teams on their website. In addition, they made it easier for people to fi...
Source: Cochrane News and Events - November 24, 2020 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
ConclusionAmong several approaches, an ensemble model combining both GBT and Cox models achieved the best performance for identifying individuals at high risk of stroke in a contemporary study of Chinese adults. The results highlight the potential value of expanding the use of ML in clinical practice.
Source: Journal of the American Medical Informatics Association - May 9, 2021 Category: Information Technology Source Type: research

Introducing Cochrane Heart, Stroke and Circulation
Stroke, heart disease, hypertension and peripheral vascular diseases are leading global causes of mortality and morbidity.  As the population ages and these conditions become more common in low-income countries, the need for an integrated response has become increasingly clear.The newHeart, Stroke and Circulation Thematic Groupaims to bring together experts from across all four topics to foster collaboration between researchers in different fields while providing comprehensive reviews on cutting-edge topics related to stroke, heart disease, hypertension, and peripheral vascular diseases.  A collaborative effortThrough th...
Source: Cochrane News and Events - May 10, 2023 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Predictive analysis for identifying potentially undiagnosed post-stroke spasticity patients in United Kingdom
Conclusions Using machine learning techniques, additional unrecorded post-stroke spasticity patients were identified, increasing the condition’s prevalence in THIN from 2% to 13%. This work shows the potential for under-reporting of PSS in primary care data, and provides a method for improved identification of cases and control records for future studies. Graphical abstract
Source: Journal of Biomedical Informatics - February 29, 2016 Category: Information Technology Source Type: research

Stroke patients' utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation
Conclusions: Findings suggest that the theory-driven mechanisms underpinning the utilisation of feedback from computer-based technology for home-based upper-limb post-stroke rehabilitation are dependent on key elements of computer feedback and the personal and environmental context. The identification of these elements may therefore inform the development of technology; therapy education and the subsequent adoption of technology and a self-management paradigm; long-term self-managed rehabilitation; and importantly, improvements in the physical and psychosocial aspects of recovery.
Source: BMC Medical Informatics and Decision Making - Latest articles - June 5, 2014 Category: Information Technology Authors: Jack ParkerSusan MawsonGail MountainNasrin NasrHuiru Zheng Source Type: research

Stroke patients¿ utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation
Conclusions: Findings suggest that the theory-driven mechanisms underpinning the utilisation of feedback from computer-based technology for home-based upper-limb post-stroke rehabilitation are dependent on key elements of computer feedback and the personal and environmental context. The identification of these elements may therefore inform the development of technology; therapy education and the subsequent adoption of technology and a self-management paradigm; long-term self-managed rehabilitation; and importantly, improvements in the physical and psychosocial aspects of recovery.
Source: BMC Medical Informatics and Decision Making - Latest articles - June 5, 2014 Category: Information Technology Authors: Jack ParkerSusan MawsonGail MountainNasrin NasrHuiru Zheng Source Type: research

Featured Review: Electromechanical and robot ‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke
Updated review: Electromechanical and robot ‐assisted arm training for improving activities of daily living, arm function, and arm muscle strength after strokeIn thisupdated review authors from Germany came together to re-assess the effects of electromechanical and robot ‐assisted arm training for improving arm function in people who have had a stroke. The review was updated from having low/very low quality evidence of benefit to high quality evidence of benefit.Electromechanical and robot ‐assisted arm training uses specialised machines to assist rehabilitation in supporting shoulder, elbow, or hand movements. Howev...
Source: Cochrane News and Events - September 6, 2018 Category: Information Technology Authors: Katie Abbotts Source Type: news

Effect of stroke-order learning and handwriting exercises on recognizing and writing Chinese characters by Chinese as a foreign language learners
This study used a computer-based teaching system to investigate the effectiveness of stroke-order learning and writing exercises in promoting the ability of Chinese-as-a-foreign-language (CFL) learners to recognize and write Chinese characters. This study included a 2 (stroke-order and non-stroke-order) × 2 (writing exercise and non-writing exercise) × 2 (test point) mixed factorial design involving a total of 91 participants. We compared the difference in their Chinese character learning, including Chinese character recognition and handwriting, based on the learning conditions. We found that CFL learners who practic...
Source: Computers in Human Behavior - May 3, 2017 Category: Information Technology Source Type: research

A Platform for Collection and Analysis of Image Data on Stroke.
Authors: Dolotova D, Donitova V, Arhipov I, Sharifullin F, Zagriazkina T, Kobrinskii B, Gavrilov A Abstract Identifying imaging biomarkers (IBs) of stroke remains a priority in neurodiagnostics. There is a number of different methods for image analysis and learning rules applicable in this field, but all of them require large arrays of DICOM images and clinical data. In order to amass such dataset,we havedesigneda platform for systematic collection of clinical data and medical images in different modalities. The platform provides easy-to-use tools to create formalized radiology reports, contour and tag the regions ...
Source: Studies in Health Technology and Informatics - July 28, 2019 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research

Computer Imagery and Neurological Rehabilitation: On the Use of Augmented Reality in Sensorimotor Training to Step Up Naturally Occurring Cortical Reorganization in Patients Following Stroke.
Authors: Correa-Agudelo E, Ferrin C, Velez P, Gomez JD Abstract This work promotes the use of computer-generated imagery -as visual illusions- to speed up motor learning in rehabilitation. In support of this, we adhere the principles of experience-dependent neuroplasticity and the positive impact of virtual reality (VR) thereof. Specifically, post-stroke patients will undergo motor therapy with a surrogate virtual limb that fakes the paralyzed limb. Along these lines, their motor intentions will match the visual evidence, which fosters physiological, functional and structural changes over time, for recovery of lost...
Source: Studies in Health Technology and Informatics - April 6, 2016 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research

Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm
AbstractSevere atherosclerosis disease in carotid arteries causes stenosis which in turn leads to stroke. Machine learning systems have been previously developed for plaque wall risk assessment using morphology-based characterization. The fundamental assumption in such systems is the extraction of the grayscale features of the plaque region. Even though these systems have the ability to perform risk stratification, they lack the ability to achieve higher performance due their inability to select and retain dominant features. This paper introduces a polling-based principal component analysis (PCA) strategy embedded in the m...
Source: Journal of Medical Systems - May 13, 2017 Category: Information Technology Source Type: research

Using machine learning models to improve stroke risk level classification methods of China national stroke screening
With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China nationa...
Source: BMC Medical Informatics and Decision Making - December 10, 2019 Category: Information Technology Authors: Xuemeng Li, Di Bian, Jinghui Yu, Mei Li and Dongsheng Zhao Tags: Research article Source Type: research

Assessing stroke severity using electronic health record data: a machine learning approach
Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text i...
Source: BMC Medical Informatics and Decision Making - January 8, 2020 Category: Information Technology Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts Tags: Research article Source Type: research

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