Arrhythmia classification for cardiac mapping

Systems and methods are disclosed for cardiac mapping. Techniques comprise extracting beat segments from biometric data obtained from a patient during an electrophysiology procedure and classifying the beat segments into clusters, each cluster represents an arrhythmia type. Maps are generated to vis...

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Bibliographische Detailangaben
Hauptverfasser:	Stanislav Goldberg, MATITYAHU AMIT, SHMUEL AUERBACH, ROY URMAN, Jonathan Yarnitsky, Yariv Avraham Amos
Format:	Patent
Sprache:	eng ; heb
Schlagworte:	HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Beschreibung
Zusammenfassung:	Systems and methods are disclosed for cardiac mapping. Techniques comprise extracting beat segments from biometric data obtained from a patient during an electrophysiology procedure and classifying the beat segments into clusters, each cluster represents an arrhythmia type. Maps are generated to visualize the biometric data. Each map is generated based on data associated with beat segments in one of the clusters in response to the beat segments being classified into a number of clusters that is below a threshold number.