DYNAMIC AND MODULAR CARDIAC EVENT DETECTION
This disclosure is directed to systems and techniques for detecting change in patient health based on a modular machine learning architecture ensembling different cardiac events. In one example, a medical system is configured to: detect a cardiac event type for the patient based on a classification of the patient physiological data in accordance with a modular machine learning architecture, wherein the modular machine learning architecture comprises, for each of a plurality of cardiac event types, an ensemble that comprises a current component model for classifying the cardiac EGM data as evidence of that respective one of the plurality of cardiac event types; and generate for display output data indicative of a positive detection of the cardiac event type..
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Patent| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Europäisches Patentamt - (2024) vom: 10. Apr. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
CHENG YA_JIAN [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Sonstige Themen: |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2024-04-10, Last update posted on www.tib.eu: 2024-04-23, Last updated: 2024-04-26 |
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| Patentnummer: |
EP4346602 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA003460487 |
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| 520 | |a This disclosure is directed to systems and techniques for detecting change in patient health based on a modular machine learning architecture ensembling different cardiac events. In one example, a medical system is configured to: detect a cardiac event type for the patient based on a classification of the patient physiological data in accordance with a modular machine learning architecture, wherein the modular machine learning architecture comprises, for each of a plurality of cardiac event types, an ensemble that comprises a current component model for classifying the cardiac EGM data as evidence of that respective one of the plurality of cardiac event types; and generate for display output data indicative of a positive detection of the cardiac event type. | ||
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
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