Method and system to assess disease using phase space tomography and machine learning
US11918333B2 · kind B2 · utility
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26Claims
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Key dates
| Filing date | Dec 26, 2018 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Dec 26, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The exemplified intrinsic phase space tomography methods and systems facilitate the analysis and evaluation of complex, quasi-periodic system by generating computed phase-space tomographic images as a representation of the dynamics of the quasi-periodic cardiac systems. The computed phase-space tomographic images can be presented to a physician to assist in the assessment of presence or non-presence of disease. In some embodiments, the phase space tomographic images are used as input to a trained neural network classifier configured to assess for presence or non-presence of significant coronary artery disease.
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