A real‐time signal processing software package for the electrophysiology laboratory.
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 a...
| Publicado en: | Journal of Cardiovascular Electrophysiology Vol. 35; no. 6; pp. 1229 - 1232 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177841969&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177841969 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10453873 GSB jtl: Journal of Cardiovascular Electrophysiology issn: 10453873 maglogo: Y pubinfo: dt: Jun2024 vid: 35 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 177841969 177841969 177841969 10.1111/jce.16281 177841969 ppf: 1229 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: A real‐time signal processing software package for the electrophysiology laboratory. aug: au: Tiver, Kathryn D. Strong, Campbell Dharmaprani, Dhani Chapman, Darius Jenkins, Evan Shahrbabaki, Sobhan Salari Ganesan, Anand N. affil: College of Medicine and Public Health, Flinders University, Adelaide South Australia,, Australia sug: subj: Signal Processing, Computer Assisted Software Design Electrophysiology Laboratories Laboratory Equipment and Supplies Product Evaluation Cardiovascular System Physiology Body Surface Potential Mapping Arrhythmia Electrocardiography Heart Atrium Anatomy and Histology ab: 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. pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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