Cargando…
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V
Atrial Fibrillation (AF) is one of the most common heart arrhythmias. It is known to cause up to 15% of all strokes. In current times, modern detection systems for arrhythmias, such as single-use patch electrocardiogram (ECG) devices, have to be energy efficient, small, and affordable. In this work,...
Autores principales: | Hoyer, Ingo, Utz, Alexander, Lüdecke, André, Kappert, Holger, Rohr, Maurice, Antink, Christoph Hoog, Seidl, Karsten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007562/ https://www.ncbi.nlm.nih.gov/pubmed/36904905 http://dx.doi.org/10.3390/s23052703 |
Ejemplares similares
-
Healthcare resource utilization following ECG sensor patch screening for atrial fibrillation
por: Waalen, Jill, et al.
Publicado: (2020) -
Validity and reliability of the German versions of the CD-RISC-10 and CD-RISC-2
por: Wollny, Anna Irena, et al.
Publicado: (2021) -
Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes
por: Uguz, Durmus Umutcan, et al.
Publicado: (2020) -
Estimating Thoracic Movement with High-Sampling Rate THz Technology
por: Hoog Antink, Christoph, et al.
Publicado: (2023) -
Vlsi chip design with the hardware description language VERILOG: an introduction based on a large RISC processor design
por: Golze, Ulrich, et al.
Publicado: (1996)