System und Verfahren zur Klassifizierung und Quantifizierung des Schweregrades von Ödemen mittels Mikrowellenmessung

Details

Veröffentlichungs-Nr.

EP4740843

Anmeldetag

22. September 2025

Veröffentlichung

13. Mai 2026

Rechtsraum

EP

IPC

A61B5/00, A61B5/0507

Abstract

Monitoring and detection of oedema severity is crucial for effective treatment of the underlying ailments. Conventional methods involve setups that require harmful radiation, are expensive, tedious, and bulky. The present disclosure provides a system and method for unobtrusive oedema severity classification and quantification using microwave sensing. A vector network analyzer, a microstrip RF patch antenna customized for operation at 4 GHz under dielectric loading of a numerical human phantom and associated RF components are used for oedema severity monitoring of a sample under test. For oedema severity classification, a machine learning (ML) based approach is implemented making use of reflection parameters, and accordingly physics-based electromagnetic features are extracted. The physics-based electromagnetic features are used to classify the sample under test into a specific oedema severity category. Further, a water percentage is quantified using regression models for the sample under test based on the oedema severity category.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien