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Innovative Treatment Strategies for Clinical Electrophysiology

Über Innovative Treatment Strategies for Clinical Electrophysiology

This book highlights the advancements in different fields of clinical electrophysiology and gives the reader a good background of the established practices. To tackle such a wide topic, the book focuses on two main aspects: ablation and pacing, discussing the novel energy sources and approaches to rhythm restoration and control; devices and signal processing, highlighting the new available technologies and numerical approaches aiding practice and home medicine. It also presents the reader with selected strategies that could be a paradigm shifts for the field: in situ cell reprogramming, exploiting the newly founded achievements in epigenetic modification of somatic cells; artificial intelligence; cardiac digital twinning, which aims to collect the information from imaging, mechanics and electrophysiology and condense it into a patient-specific model for personalized treatment.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789811966514
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 140
  • Veröffentlicht:
  • 8. Dezember 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 155x8x235 mm.
  • Gewicht:
  • 224 g.
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Beschreibung von Innovative Treatment Strategies for Clinical Electrophysiology

This book highlights the advancements in different fields of clinical electrophysiology and gives the reader a good background of the established practices. To tackle such a wide topic, the book focuses on two main aspects: ablation and pacing, discussing the novel energy sources and approaches to rhythm restoration and control; devices and signal processing, highlighting the new available technologies and numerical approaches aiding practice and home medicine. It also presents the reader with selected strategies that could be a paradigm shifts for the field: in situ cell reprogramming, exploiting the newly founded achievements in epigenetic modification of somatic cells; artificial intelligence; cardiac digital twinning, which aims to collect the information from imaging, mechanics and electrophysiology and condense it into a patient-specific model for personalized treatment.

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