Systeme und Verfahren zur Erkennung von Vorhofflimmern und Herzerkrankungen aus Biologischen Signalen

Details

Veröffentlichungs-Nr.

EP3881767

Aktenzeichen

EP21162198

Anmeldetag

12. März 2021

Veröffentlichung

25. Dezember 2024

Erteilung

25. Dezember 2024

Rechtsraum

EP

IPC

A61B5/364A61B5/363A61B5/00G16H50/20

Abstract

Continuous monitoring of subject's cardiac system using biological signal(s) (BS) during day-to-day activities is essential for managing personal cardiac health/disorders, etc. Conventional systems/methods lack in improvising overall classification results and configured for specific device/signal say ECG or PPG and so on. Present disclosure provides systems and methods for classifying BS obtained from users, wherein BS are preprocessed to obtain filtered signals (FS). Corresponding feature extraction module is utilized for feature set extraction based on features in FS. The feature set is reduced and segmented into test and training data. Biological signal classification model(s) are generated using training data and a BCM is applied on test data to classify biological signals (BS) as one of Atrial Fibrillation (AF), a non-AF, a cardiac arrythmia disorder, or ischemia. Accelerometer features of connected device associated with the users can be obtained to detect activities which in conjunction with the BCM's output improvises above classification.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete