Multi-modal lung capacity measurement for respiratory illness prediction
US12023146B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 8, 2020 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Oct 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/78
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Determining lung capacity of includes capturing an audio waveform of the user performing an utterance presented to a user. A video of the user performing the utterance can be captured. The captured audio waveform and the video are analyzed for compliance. Based on the audio waveform, an indicator of respiratory function is determined. The indicator is compared with a reference indicator to determine health of the user. A machine learning model such as neural network can be trained to predict the indicator of the respiratory function based on input features comprising audio spectral and temporal characteristics of utterances. Determining the indicator or respiratory function can include running the trained machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.