Methods and systems to configure and use neural networks in characterizing physiological systems
US12406184B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2024 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Apr 23, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The exemplified methods and systems facilitate the configuration and training of a neural network (e.g., a deep neural network, a convolutional neural network (CNN), etc.), or ensemble(s) thereof, with a biophysical signal data set to ascertain estimate for the presence or non-presence of disease or pathology in a subject as well as to assess and/or classify disease or pathology, including for example in some cases the severity of such disease or pathology, in a subject. In the context of the heart, the methods and systems described herein facilitate the configuration and training of a neural network, or ensemble(s) thereof, with a cardiac signal data set to ascertain estimate for the presence or non-presence of coronary artery disease or coronary pathology.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.