Systems and methods for identifying biological structures associated with neuromuscular source signals
US11635736B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2018 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Sep 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.