Vorhersage Kardiologenniveauklinischer Erklärungen für die Klassifikation von Elektrokardiogrammsignalen Mithilfe von Deep Learning
Anmelder: Tata Consultancy Services Limited 🇮🇳
Details
- Veröffentlichungs-Nr.
- EP4776295
- Anmeldetag
- 18. September 2025
- Veröffentlichung
- 15. Juli 2026
- Rechtsraum
- EP
Abstract
This disclosure relates generally to a method and system for predicting cardiologist level clinical explanations for electrocardiogram signal classification using deep learning. Conventional methods for explainability of artificial intelligence models are influenced by data distribution and do not provide clinical level explanations in cardiac healthcare. The method disclosed provides clinical level explanations for rhythm diagnosis from ECG signals. The method validates that clinical concepts in ECG signals can be extracted by generating a set of synthetic ECG signals. The set of synthetic ECG signals are generated using trained generative adversarial networks and statistical parameterization techniques. Further the set of synthetic ECG signals are validated by classifying and comparing them with a set of real ECG signals. Then a clinical concept identifier model is trained for predicting the clinical concepts present in an ECG signal classified into a set of signal classes. These clinical concepts predicted are cardiologist level explanations.
Anmelder
- Firma
- Tata Consultancy Services Limited
- Land
- 🇮🇳 Indien
Indisches IT-Dienstleistungs- und Beratungsunternehmen, Teil der Tata Group. Bietet Softwareentwicklung, IT-Consulting, Outsourcing und digitale Transformationslösungen für Unternehmenskunden weltweit an.
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