Non-invasive method and system for characterizing cardiovascular systems
US9655536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2016 |
| Grant date | May 23, 2017 |
| Priority date | — |
| Expiry date | Mar 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H30/40
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure uses physiological data, ECG signals as an example, to evaluate cardiac structure and function in mammals. Two approaches are presented, e.g., a model-based analysis and a space-time analysis. The first method uses a modified Matching Pursuit (MMP) algorithm to find a noiseless model of the ECG data that is sparse and does not assume periodicity of the signal. After the model is derived, various metrics and subspaces are extracted to image and characterize cardiovascular tissues using complex-sub-harmonic-frequencies (CSF) quasi-periodic and other mathematical methods. In the second method, space-time domain is divided into a number of regions, the density of the ECG signal is computed in each region and inputted into a learning algorithm to image and characterize the tissues.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.