Method for detecting and discriminating breathing patterns from respiratory signals
US8066647B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 21, 2005 |
| Grant date | Nov 29, 2011 |
| Priority date | — |
| Expiry date | Apr 23, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A signal representative of a patient's respiration is split into equal length epochs. A primary feature is extracted from each epoch that acts as a compressed representation of the signal events. Statistics are applied to the primary feature to produce one or more secondary features that represent the entire epoch. Each secondary feature is grouped with one or more other features that are extracted from the entire epoch rather than selected epoch events. This grouping is the epoch pattern. The pattern is manipulated with suitable classifier algorithm to produce a probability for each class within the algorithm, that the signal may be representative of a disease state (Cheyne-Stokes, OSA etc). The epoch is assigned to the class with the highest probability. Also defined are methods of detecting Cheyne-Stokes breathing by analyzing a signal to detect one or regions of hyperpnoea and if the length of a hyperpnoea exceeds a parameter, Cheyne-Stokes is present.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.