Shockable heart rhythm classifier for defibrillators
US11089989B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2019 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Feb 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A variety of convolutional neural network based shockable heart rhythm classifiers are described. The neural network is configured to receive an electrocardiogram segment as an input and to generate an output indicative of whether the received electrocardiogram segment represents a heart rhythm that is suitable for treatment by a defibrillation shock. Preferably, the received electrocardiogram segment is not transformed or processed prior to its reception by the convolutional neural network and no features of the electrocardiogram are identified to the convolutional neural network. In some embodiments, the received electrocardiogram segment is the sole input to the convolutional neural network. The described classifier is well suited for use in defibrillators.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.