Wireless body area networks (WBANs) are attracting attention as a very important technology for realizing an Internet of Medical Things (IoMT). IEEE 802.15.6 is well known as one of the international standards for WBANs for the IoMT. This article proposes the combination of the IEEE 802.15.6 ultra-wideband (UWB) physical layer (PHY) with a super orthogonal convolutional code (SOOC) and evaluates its performance as a dependable WBAN. Numerical results show that sufficient dependability cannot be obtained with the error-correcting code specified in IEEE 802.15.6 when applying the single pulse option, while both high energy efficiency and dependability can be obtained by applying an SOCC. In addition, it is confirmed that higher dependability can be obtained by combining an SOCC with a Reed-Solomon (RS) code with a coding rate that is almost the same as the error correction code specified in the standard. Furthermore, the results indicate that high dependability and energy efficiency can be obtained by adjusting the SOCC coding rate and UWB PHY parameters, even in the burst pulse option. The SOCC-applied UWB PHY of this research satisfies the high requirements of the IoMT.
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http://dx.doi.org/10.3390/s22062172 | DOI Listing |
Alzheimers Dement
December 2024
College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Background: Alzheimer's disease is estimated to reach 139 million people by 2050, with an increase in people living with functional limitations caused by the disease (Alzheimer's Disease International). However, telerehabilitation presents a promising solution to improve functional outcomes in patients with Alzheimer's disease. This systematic review investigates the use of telerehabilitation therapies worldwide for the treatment of Alzheimer's disease and cognitive impairments.
View Article and Find Full Text PDFAppl Neuropsychol Adult
January 2025
COVIRTUA Healthcare, Pépinière TOULOUSE Métropole, Colomiers, France.
Background: Virtual technologies (VR) could respond to several challenges in Unilateral Spatial Neglect (USN) assessment, particularly the lack of sensitivity and ecological validity of traditional paper-and-pencil tests. A scoping review was conducted to explore current trends in this area.
Methods: PubMed, EMBASE, PsycINFO, Web of Science, IEEE, ACM, and the Cochrane Library were systematically searched for VR USN assessment.
BMJ Open
January 2025
Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Introduction: With the development of technology, the use of machine learning (ML), a branch of computer science that aims to transform computers into decision-making agents through algorithms, has grown exponentially. This protocol arises from the need to explore the best practices for applying ML in the communication and management of occupational risks for healthcare workers.
Methods And Analysis: This scoping review protocol details a search to be conducted in the academic databases, Public Medical Literature Analysis and Retrieval System Online, through the Virtual Health Library: Medical Literature Analysis and Retrieval System, Latin American and Caribbean Literature in Health Sciences, West Pacific Region Index Medicus, Nursing Database and Scientific Electronic Library Online, Scopus, Web of Science and IEEE Xplore Digital Library and Excerpta Medica Database.
PLoS One
January 2025
Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), Université de Lorraine & CentraleSupélec, Metz, France.
Optimizing energy resources is a major priority these days. Increasing household energy demand often leads to the deterioration of poorly sized distribution networks. This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical Power and Machines Engineering, The Higher Institute of Engineering at El- Shorouk City, El-Shorouk Academy, Cairo, 11837, Egypt.
The paper presents a comprehensive analysis of the IEEE-16 bus system under different operating conditions. It discusses the selection of suitable decomposition level and wavelet function for analyzing non-stationary signals to enhance power distribution network fault detection. MATLAB/Simulink is used to simulate the system, and transient fault current signals are processed with the MATLAB Wavelet Toolbox.
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