Advanced Arrhythmia Analysis
Provide accurate cardiac reports and streamline workflow for medical organizations.
Discover Our Platform
Advanced Arrhythmia Reporting for Doctors
Our application is a cutting-edge software solution designed for doctors and medical organizations to provide accurate and comprehensive arrhythmia reporting. Leveraging advanced algorithms, the platform performs delineation, classification, and denoising of cardiac signals, ensuring precise identification of heartbeats and anomalies.
Doctors have full control to review and edit beats, including Normal (N), Supraventricular (S), and Atrial Fibrillation (AF), allowing for tailored and clinically reliable reports. The system also incorporates beat templates, which are standardized waveform patterns that help streamline the analysis and ensure consistency across reports.
By combining automated analysis with expert oversight, this application enhances diagnostic accuracy, optimizes workflow, and empowers healthcare professionals with actionable insights for patient care.
Doctors have full control to review and edit beats, including Normal (N), Supraventricular (S), and Atrial Fibrillation (AF), allowing for tailored and clinically reliable reports. The system also incorporates beat templates, which are standardized waveform patterns that help streamline the analysis and ensure consistency across reports.
By combining automated analysis with expert oversight, this application enhances diagnostic accuracy, optimizes workflow, and empowers healthcare professionals with actionable insights for patient care.
Key Benefits
Frequently Asked Questions
What types of beats can I edit?
You can review and edit beats across all main classes, including Normal (N), Supraventricular (S), Atrial Fibrillation (AF), Atrial Flutter (AFL), and Junctional (J). You can also mark signals as noise or label unidentified beats as X for accurate classification and clinical precision. However, our platform is designed so that physicians need to make minimal edits, as our algorithms are trained to perform with a high level of accuracy. Edits are expected only in exceptional cases.
How does template-based analysis work?
The platform groups large numbers of beats that share the same waveform shape into templates. This allows physicians to review, edit, or delete entire classes of beats at once, improving accuracy and significantly reducing manual editing time.
Can it handle noisy ECG signals?
Yes. The platform automatically applies denoising algorithms to clean ECG signals. Additionally, physicians can perform manual denoising when needed, ensuring optimal signal quality for clinical interpretation.
