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Total 695 results found since Jan 2013.
Robotic Arm may Help to Rehabilitate Chronic Stroke Victims
New research published in Frontiers in Neurology finds that robotic arm rehabilitation in chronic stroke patients with aphasia, the loss of ability to understand or express speech, may promote speech and language function recovery. Robotic arm rehabilitation is a commonly-used intervention for treating impaired motor function in the arm, wrist, or shoulder subsequent to stroke.
Source: eHealth News EU - October 30, 2018 Category: Information Technology Tags: Featured Research Research and Development Source Type: news
Towards stroke prediction using electronic health records
As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...
Source: BMC Medical Informatics and Decision Making - December 4, 2018 Category: Information Technology Authors: Douglas Teoh Tags: Technical advance Source Type: research
Analysis of the Factors Related to the Effectiveness of Transcranial Current Stimulation in Upper Limb Motor Function Recovery after Stroke: a Systematic Review
In conclusion, there is not significant evidence due to heterogeneity of clinical data and therapies. Clinical studies with greater number of participants and protocols standardized could outline this assessment in future studies.
Source: Journal of Medical Systems - February 8, 2019 Category: Information Technology Source Type: research
User evaluation of a novel SMS-based reminder system for supporting post-stroke rehabilitation
According to WHO stroke is a growing societal challenge and the third leading cause of global disease-burden estimated using disability-adjusted life years. Rehabilitation after stroke is an area of mutual int...
Source: BMC Medical Informatics and Decision Making - July 3, 2019 Category: Information Technology Authors: Uno Fors, Julius T. Kamwesiga, Gunilla M. Eriksson, Lena von Koch and Susanne Guidetti Tags: Research article 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
Smartphone, Laptop Prove Reliable and Accurate for Acute Ischemic Stroke Decision
Mobile devices proved both reliable and accurate for the clinical decision to administer IV thrombolysis in patients with acute stroke, according to an ahead-of-print article in the April issue of the American Journal of Roentgenology (AJR).
To assess reliability and accuracy of IV thrombolysis recommendations made after interpretation of head CT images of patients with acute stroke symptoms displayed on smartphone or laptop reading systems - compared with
Source: eHealth News EU - February 12, 2020 Category: Information Technology Tags: Featured Research Research and Development Source Type: news
Intervention Platform for Action Observation and Motor Imagery Training After Stroke: Usability Test
Stud Health Technol Inform. 2022 May 16;292:71-74. doi: 10.3233/SHTI220324.ABSTRACTAction observation (AO) and motor imagery (MI) are considered as promising therapeutic approaches in the rehabilitation of patients after a stroke (PaS). Observing and mentally rehearsing motor movements stimulate the motor system in the brain and result in a positive effect on movement execution. To support patients in the early rehabilitation phase after a stroke, ANIMATE, a digital health intervention platform was developed. The platform guides the user through 6 activities of daily living by observing and imagining the corresponding move...
Source: Studies in Health Technology and Informatics - May 16, 2022 Category: Information Technology Authors: Katrin Fuchshofer Christian Merz Kerstin Denecke Corina Schuster-Amft Source Type: research
Effect of mobile-based self-management application on stroke outcomes: a study protocol for triple blinded randomized controlled trial
Stroke is the main leading cause of long-term disabilities in the world. This protocol will be implemented for a study to evaluate the effects of an Android-based self-care application on patients with stroke.
Source: BMC Medical Informatics and Decision Making - November 11, 2022 Category: Information Technology Authors: Hamidreza Tadayon, Mehrdad Farzandipour, Ehsan Nabovati, Hossein Akbari and Seyed Ali Masoud Tags: Study protocol Source Type: research
A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm
The incidence of stroke is a challenge in China, as stroke imposes a heavy burden on families, national health services, social services, and the economy. The length of hospital stay (LOS) is an essential indi...
Source: BMC Medical Informatics and Decision Making - March 22, 2023 Category: Information Technology Authors: Rui Chen, Shengfa Zhang, Jie Li, Dongwei Guo, Weijun Zhang, Xiaoying Wang, Donghua Tian, Zhiyong Qu and Xiaohua Wang Tags: Research article Source Type: research
The Role of Clinical Decision Support Systems in Preventing Stroke in Primary Care: A Systematic Review
Perspect Health Inf Manag. 2023 Apr 1;20(2):1d. eCollection 2023 Spring.ABSTRACTComputerized clinical decision support systems (CDSS) are increasingly being used to facilitate the role of clinicians in complex decision-making processes. This systematic review evaluates evidence of the available CDSS developed and tested to support the decision-making process in primary healthcare for stroke prevention and barriers to practical implementations in primary care settings. A systematic search of Web of Science, Medline Ovid, Embase Ovid, and Cinahl was done. A total of five studies, experimental and observational, were synthesi...
Source: Perspectives in Health Information Management - June 9, 2023 Category: Information Technology Authors: Salha Fayea Alasiri Abdel Douiri Saffanah Altukistani Talay Porat Ola Mousa Source Type: research
