Recently, an expert system was developed to provide feedback to examiners with the aim of improving reliability of marker-based gait analysis. The purpose of the current study was to evaluate the effectiveness of this novel feedback tool in improving the reliability of gait analysis for individuals with lower limb osteoarthritis. Three-dimensional gait analysis was conducted for n=27 individuals, at two different time points, and during each session the feedback tool was used to refine marker placement. Results for both discrete variables and support vector machine classifications demonstrated improved reliability of the data with the feedback tool.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.gaitpost.2017.08.011 | DOI Listing |
Cochrane Database Syst Rev
January 2025
Faculty of Physical Education and Physiotherapy, Rehabilitation Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Background: Multiple sclerosis (MS) is the most common neurological disease in young adults. Virtual reality (VR) offers a promising rehabilitation tool by providing controllable, personalised environments for safe, adaptable and engaging training. Virtual reality can be tailored to patients' motor and cognitive skills, enhancing motivation through exciting scenarios and feedback.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Occupational Therapy, School of Health Professions, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Importance: To efficiently perform bimanual daily tasks, bimanual coordination is needed. Bimanual coordination is the interaction between an individual's hands, which may be impaired post-stroke, however clinical and functional assessments are lacking and research is limited.
Objectives: To develop a valid and reliable observation tool to assess bimanual coordination of individuals post-stroke.
Sci Rep
January 2025
The Army Engineering University of PLA, Nanjing, 211117, Jiangsu, China.
The rapid proliferation of mobile social networks has significantly accelerated the dissemination of misinformation, posing serious risks to social stability, public health, and democratic processes. Early detection of misinformation is essential yet challenging, particularly in contexts where initial content propagation lacks user feedback and engagement data. This study presents a novel hybrid model that combines Bidirectional Encoder Representations from Transformers (BERT) with Long Short-Term Memory (LSTM) networks to enhance the detection of misinformation using only textual content.
View Article and Find Full Text PDFJMIR Hum Factors
December 2024
Clarunis University Digestive Health Care Center, CH-4002 Basel, CH.
Background: Colonoscopies, are vital for initial screening, follow-ups, surveillance of neoplasia, and assessing symptoms like rectal bleeding. Successful colonoscopies require thorough colon preparation, but up to 25% fail due to poor preparation. This can lead to longer procedures, repeat colonoscopies, inconvenience, poorer health outcomes, and higher costs.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Population Health and Optimal Health Practices Research Unit, Centre de Recherche du CHU de Québec (Hôpital de L'Enfant-Jésus), Université Laval, 1401, 18e rue, Québec, Qc, Canada.
Background: Multifaceted interventions that address barriers and facilitators have been shown to be most effective for increasing the adoption of high-value care, but there is a knowledge gap on this type of intervention for the de-implementation of low-value care. Trauma is a high-risk setting for low-value care, such as unnecessary diagnostic imaging and the use of specialized resources. The aim of our study was to develop and assess the usability of a multifaceted intervention to reduce low-value injury care.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!