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BMC Public Health
January 2025
Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW, 2522, Australia.
Introduction: The relationship between 24-h movement behaviours (i.e. sleep, sedentary behaviour and physical activity) and adiposity in preschoolers remains unclear.
View Article and Find Full Text PDFHeart
January 2025
Department of Cardiology, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
Exercise offers a plethora of health benefits. However, certain genetic and acquired diseases such as cardiomyopathies and channelopathies are associated with sudden cardiac death during exercise. Several factors complicate exercise prescription in individuals living with these conditions.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Health Sciences, Brunel University of London, Uxbridge, UK
Objective: To investigate the safety, feasibility and acceptability of the Neurofenix platform for upper-limb rehabilitation in acute and subacute stroke.
Design: A feasibility randomised controlled trial with a parallel process evaluation.
Setting: Acute Stroke Unit and participants' homes (London, UK).
BMJ Open
January 2025
University of Social Welfare and Rehabilitation Science, Tehran, Iran (the Islamic Republic of).
Objective: To investigate how various morbidities affect older patients' performance on the Timed Up and Go (TUG) test.
Design: Cross-sectional study.
Setting: The seven government hospitals of Lahore, Pakistan, included are major tertiary care centres, representing an older patient population of Punjab, Pakistan.
JMIR Mhealth Uhealth
January 2025
Institute for AI and Informatics in Medicine, Technical University of Munich, Munich, Germany.
Background: Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform health care again by opening new opportunities in patient care and medical research.
Objective: This systematic review aims to evaluate the integration of AI models with wearable IMUs in health care, identifying current applications, challenges, and future opportunities.
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