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Tachycardia detection in ICDs by Boston Scientific: Algorithms, pearls, and pitfalls
AIM: The aim of this study was to summarize how implantable cardioverter defibrillators (ICDs) by Boston Scientific sense, detect, discriminate rhythms, and classify episodes. METHODS: Modern devices include multiple programming selections, diagnostic features, therapy options, memory functions, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Medizin
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021727/ https://www.ncbi.nlm.nih.gov/pubmed/27605235 http://dx.doi.org/10.1007/s00399-016-0454-2 |
Sumario: | AIM: The aim of this study was to summarize how implantable cardioverter defibrillators (ICDs) by Boston Scientific sense, detect, discriminate rhythms, and classify episodes. METHODS: Modern devices include multiple programming selections, diagnostic features, therapy options, memory functions, and device-related history features. Device operation includes logical steps from sensing, detection, discrimination, therapy delivery to history recording. The program is designed to facilitate the application of the device algorithms to the individual patient’s clinical needs. Features and functions described in this article represent a selective excerpt by the authors from Boston Scientific publicly available product resources. CONCLUSION: Programming of ICDs may affect patient outcomes. Patient-adapted and optimized programming requires understanding of device operation and concepts. |
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