CathVision
Medical technology company developing electrophysiology recording hardware and signal-processing software, and machine-learning analytics for acquisition, interpretation, and procedural decision support of intracardiac and surface electrograms. Activities include device and amplifier engineering, signal-processing and algorithm R&D, clinical validation studies, regulatory filings and limited commercial deployment in the U.S.
Industries
Nr. of Employees
small (1-50)
Patents
Products
High-fidelity, low-noise EP recording system
Integrated recording system for acquisition of low-noise intracardiac electrograms and surface ECGs with multi-channel support, intended to improve visualization of low-voltage and high-frequency signals and to enable downstream analytic modules.
AI-based electrogram analytics suite
Analytic modules that apply machine learning and signal-processing methods to support electrogram interpretation and procedural decision-making (examples include PVI verification, signal complexity quantification, and residual energy analysis).
ECGenius System
The world's first intelligent EP recording system featuring exceptionally high-quality raw signals to support advanced cardiac electrophysiology procedures, AI-based real-time analytics, and machine learning software tools.
Signal Complexity™
Module that provides a reproducible, quantitative view of electrogram organization during ablation procedures.
PVI ANALYZER™
Machine-learning–based algorithm designed to support electrogram interpretation during pulmonary vein isolation procedures using RF or cryo energy.
CARDIALYTICS
A suite of AI-based analytic tools designed specifically to provide unprecedented levels of automated analyses during the diagnosis and treatment of complex atrial arrhythmia including atrial fibrillation.
High-fidelity, low-noise EP recording system
Integrated recording system for acquisition of low-noise intracardiac electrograms and surface ECGs with multi-channel support, intended to improve visualization of low-voltage and high-frequency signals and to enable downstream analytic modules.
AI-based electrogram analytics suite
Analytic modules that apply machine learning and signal-processing methods to support electrogram interpretation and procedural decision-making (examples include PVI verification, signal complexity quantification, and residual energy analysis).
ECGenius System
The world's first intelligent EP recording system featuring exceptionally high-quality raw signals to support advanced cardiac electrophysiology procedures, AI-based real-time analytics, and machine learning software tools.
Signal Complexity™
Module that provides a reproducible, quantitative view of electrogram organization during ablation procedures.
PVI ANALYZER™
Machine-learning–based algorithm designed to support electrogram interpretation during pulmonary vein isolation procedures using RF or cryo energy.
CARDIALYTICS
A suite of AI-based analytic tools designed specifically to provide unprecedented levels of automated analyses during the diagnosis and treatment of complex atrial arrhythmia including atrial fibrillation.
Services
Support and partnership for multicenter clinical studies and site-based evaluations of recording hardware and analytic software.
On-site system evaluations and deployments to assess integration with existing EP lab equipment and workflows and to compare signal quality against legacy systems.
Release and maintenance of software features including EMR/reporting integration, UI improvements, workflow optimizations, and device connectivity enhancements.
Support and partnership for multicenter clinical studies and site-based evaluations of recording hardware and analytic software.
On-site system evaluations and deployments to assess integration with existing EP lab equipment and workflows and to compare signal quality against legacy systems.
Release and maintenance of software features including EMR/reporting integration, UI improvements, workflow optimizations, and device connectivity enhancements.
Expertise Areas
- Electrophysiology signal acquisition
- AI-driven electrogram analysis
- Clinical trial design and multicenter study operations
- Signal processing and artifact mitigation
Key Technologies
- Multi-channel intracardiac and surface ECG acquisition
- Low-noise analog amplifier design
- Predictive noise filtering algorithms
- Unipolar electrogram analysis
News & Updates
Announcement of a software update adding workflow and UI enhancements (advanced trigger/caliper tools, multi-window comparisons, higher display sweep speeds) and expanded device connectivity to optimize integration of AI analyses in the EP lab.
Publication on automated measurement of unipolar local signal energy after pulsed field ablation.
Study describing feasibility of an electrogram analysis tool for lesion assessment in pulsed field ablation workflows.
Announcement of FDA 510(k) clearance for the company's EP recording system (May 2022).
FDA clearance and commercial availability of PVI verification and signal complexity algorithms integrated with the recording system (August 2023).
Study completed enrollment comparing signal quality and technical performance versus legacy systems (April 2022).
Announcement of a software update adding workflow and UI enhancements (advanced trigger/caliper tools, multi-window comparisons, higher display sweep speeds) and expanded device connectivity to optimize integration of AI analyses in the EP lab.
Publication on automated measurement of unipolar local signal energy after pulsed field ablation.
Study describing feasibility of an electrogram analysis tool for lesion assessment in pulsed field ablation workflows.
Announcement of FDA 510(k) clearance for the company's EP recording system (May 2022).
FDA clearance and commercial availability of PVI verification and signal complexity algorithms integrated with the recording system (August 2023).
Study completed enrollment comparing signal quality and technical performance versus legacy systems (April 2022).