Method and system for identifying cohorts of psychiatric disorder patients based on electroencephalograph
US11771377B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2022 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | Dec 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/80
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method and system for identifying cohorts of psychiatric disorder patients using electroencephalograph (EEG) are disclosed, which include analyzing a type of brain region mutual interaction characteristics using scalp EEG data from each of a group of patients and obtaining a set of brain region mutual interaction feature matrices, performing a feature enhancement process to the brain region mutual interaction feature matrices to extract prominent mutual interaction features, and applying a machine learning algorithm to identify cohorts of the group of psychiatric disorder patients. The method and system can also be used for patients diagnosed with COVID-19 and suffering from psychiatric disorder symptoms originated from COVID-19. The method and system can be used to identify responsive and non-responsive groups to a clinical treatment, different treatment outcome groups in response to a clinical treatment, or different risk groups to a clinical treatment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.