Titlebook: Advances in Digital Health and Medical Bioengineering; Proceedings of the 1 Hariton-Nicolae Costin,Ratko Magjarević,Gladiola G Conference p

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Automatic Detection of High-Quality Fibrillatory Waves Segments from Atrial Fibrillation Electrocardtrial fibrillation (AF) and enhance arrhythmia treatment. Nevertheless, the performance of these methods is weakened by the presence of artifacts and variable morphology of the QRST complexes. Hence, this study introduces a two-step approach aimed at refining the identification of f-waves segments f

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Murmur Separation and Classification from Heart Soundartificial intelligence (AI). This investigation was conducted using a variety of current algorithms, including both classic and more recent ones that were found in the specialized literature. Our primary goal was to identify medical problems quickly and map them onto compact tabular data sets to im

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https://doi.org/10.1007/978-3-642-99516-3erspectives. The economic analysis includes TCO calculations, the user value is determined through interviews analyzed using MAQXDA 2022 software, while the clinical value is derived from a synthesis of clinical benefits and risks. Findings reveal consumables cost as the primary ownership expense, w

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https://doi.org/10.1007/978-3-642-99516-3e methodology for calculation of PPP for health technology assessment and interventions based on current approaches. The PPP calculation proposed is based on costs from the provider’s perspective and uses specific costs of selected interventions. Cataract surgery was chosen for a practical applicati

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https://doi.org/10.1007/978-3-663-15950-6m. The most common are subpectoral and suprapectoral tenodesis. The main objective of this research was to evaluate the evidence regarding the benefits of subpectoral tenodesis over the suprapectoral option. The effects were identified from published literature and were processed with meta-analysis