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A real-time signal processing software package for the electrophysiology laboratory.
Tiver, Kathryn D; Strong, Campbell; Dharmaprani, Dhani; Chapman, Darius; Jenkins, Evan; Shahrbabaki, Sobhan Salari; Ganesan, Anand N.
Afiliación
  • Tiver KD; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Strong C; Department of Cardiology, Flinders Medical Centre, Adelaide, Australia.
  • Dharmaprani D; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Chapman D; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Jenkins E; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Shahrbabaki SS; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Ganesan AN; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
J Cardiovasc Electrophysiol ; 35(6): 1229-1231, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38654418
ABSTRACT

BACKGROUND:

Real-time signal processing has to date been difficult to implement in the clinical electrophysiology laboratory. To date, no open access software solutions are available in electrophysiology (EP) laboratories to facilitate real-time intraprocedural signal analysis. We aimed to develop an open access, scalable Python plug-in to allow real-time signal processing during human EP procedures. METHODS AND

RESULTS:

A Python-based plug in for the widely available EnsiteX mapping system was developed. This plug-in utilized the LiveSync feature of the system to allow real-time signal analysis. An open access library was developed to allow end-users to implement real-time signal analysis using this platform, implemented in the Python programming language https//github.com/anand9176/WaveWatch5000Public.

CONCLUSION:

We have developed and demonstrated the feasibility of a readily scalable and open-access Python-based plug in to an electroanatomic mapping system (EnSiteX) to allow real-time processing and display of electrogram (EGM) based information for the procedural electrophysiologist to view intraprocedurally in the electrophysiology laboratory. The availability, to the clinician, of traditional and novel EGM-based metrics at the time of intervention, such as atrial fibrillation ablation, allows for key mechanistic insights into critical unresolved questions regarding arrhythmia mechanism.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Potenciales de Acción / Técnicas Electrofisiológicas Cardíacas Límite: Humans Idioma: En Revista: J Cardiovasc Electrophysiol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Potenciales de Acción / Técnicas Electrofisiológicas Cardíacas Límite: Humans Idioma: En Revista: J Cardiovasc Electrophysiol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos