Titlebook: 9th European Medical and Biological Engineering Conference; Proceedings of EMBE Toma? Jarm,Rok ?merc,Samo Mahni?-Kalamiza Conference proce

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https://doi.org/10.1007/978-3-663-15786-1frequency domain features. Clustering was performed using K Means, Gaussian Mixed Model and Fuzzy C-Means methods. In our analysis we focused on two problems: the first clustering problem being activity recognition and differentiation from simulated human falls, while the other problem focused on di

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NIB

https://doi.org/10.1007/978-3-663-15787-8al Fibrillation (AF) research, focusing on Heart Rate Variability (HRV). Leveraging this method, we generated a realistic synthetic dataset of 1,?000 records, replicating the features observed in the original records. The GCS effectively expands dataset size while maintaining HRV pattern realism. Th

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,Lautverh?ltnisse und schreibung, to enhance patient outcomes and streamline healthcare processes. Among these, the role of Living Labs as open innovation environments is becoming increasingly significant, offering a novel infrastructure for creating harmonized methodologies for the collection of data from Internet of Things (IoT)

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über den Bildungswert der Mathematikpy, was conducted. Amid increasing incidence and mortality rates of prostate cancer in the Czech Republic, exploring m-health potential in oncological care is of critical research interest. The aim was to identify the benefits of m-health in radiotherapy, assessing current market dynamics and stakeh

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