Introduction: According to the World Health Organisation chronic diseases are the leading cause of mortality in the world, representing 60% of all deaths. Strategies employed to tackle chronic diseases aim to act on risk factors through adopting a healthy lifestyle. These strategies can be greatly implemented from the adoption of wearable devices, which allow a thorough and mini- mally invasive monitoring of patients' clinical data. This article aims to clarify whether wearable devices can help in preventing hospital readmission and improve quality of life in chronic patients.
Method: A literature search of electronic databases was performed in January 2017. The following databases were searched: The Cochrane Database of Systematic Reviews, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Pub Med, EMBASE and MEDLINE.
Results: 33 articles met the inclusion criteria and were included in the literature review.
Discussion: Various wearable devices are currently available to monitor and keep records of diffe- rent clinical information. Some of them are proved to prevent hospital re-admissions and to treat effectively life-threatening situations in certain categories of chronic patients. Higher level of acceptability and usability are achieved when users are involved in the testing stage prior to the release of the device and/or the features and terms of use are clearly described to patients and carers. Wearable devices are also proved to be more accurate than clinical assessment only in estimating the risk of falls in chronic patients, thus improving safety in the home care setting. Regardless of their features, wearable devices are yet to be used by both healthcare professionals and patients on a large scale.
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BMC Neurol
January 2025
Graduate School of Physical Education, Myongji University, Mingzhi Road, Churen District, Yongin, 17058, Gyeonggi Province, Republic of Korea.
Background: This study evaluates the comprehensive impact of different exercise interventions on the quality of life in stroke patients through network meta-analysis, aiming to provide scientific evidence for developing more effective rehabilitation programs and improving patients' physical, psychological, and social functions.
Methods: This systematic review, registered in PROSPERO (CRD42024541517) and following PRISMA guidelines, searched multiple databases (PubMed, Web of Science, EMbase, Cochrane, Ebsco) until November 1, 2024. Studies were selected based on the PICOS criteria, including RCTs on stroke and exercise.
ACS Appl Mater Interfaces
January 2025
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, P. R. China.
Efficient thermal generation from solar/electric energy in transparent films remains challenging due to the limited toolbox of high-performance thermal generation materials and methods for microstructure engineering. Here, we proposed a two-step strategy to introduce hierarchical wrinkles to the MXene composite films with high transparency, leading to upgraded photo/electrothermal conversion efficiency. Specifically, the thin film contains protic acid-treated MXene layers assembled with Ag nanowires (H-MXene/Ag NWs).
View Article and Find Full Text PDFSci Adv
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano and IU.NET, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Neurological disorders are a substantial global health burden, affecting millions of people worldwide. A key challenge in developing effective treatments and preventive measures is the realization of low-power wearable systems with early detection capabilities. Traditional strategies rely on machine learning algorithms, but their computational demands often exceed what miniaturized systems can provide.
View Article and Find Full Text PDFBiostat Epidemiol
October 2024
Department of Epidemiology and Biostatistics, Indiana University, Bloomington, Indiana, US.
Wearable devices enable the continuous monitoring of physical activity (PA) but generate complex functional data with poorly characterized errors. Most work on functional data views the data as smooth, latent curves obtained at discrete time intervals with some random noise with mean zero and constant variance. Viewing this noise as homoscedastic and independent ignores potential serial correlations.
View Article and Find Full Text PDFArch Rehabil Res Clin Transl
December 2024
Research Centre Healthy and Sustainable Living, Research group Lifestyle and Health, Utrecht University of Applied Sciences, Utrecht, The Netherlands.
Objective: To evaluate psychometrics of wearable devices measuring physical activity (PA) in ambulant children with gait abnormalities due to neuromuscular conditions.
Data Sources: We searched PubMed, Embase, PsycINFO, CINAHL, and SPORTDiscus in March 2023.
Study Selection: We included studies if (1) participants were ambulatory children (2-19y) with gait abnormalities, (2) reliability and validity were analyzed, and (3) peer-reviewed studies in the English language and full-text were available.
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