Method and system for determining a treatment outcome prediction for a patient based on electroencephalograph
US11980485B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2022 |
| Grant date | May 14, 2024 |
| Priority date | — |
| Expiry date | Dec 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/30
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method and system for determining a treatment outcome prediction for a patient using electroencephalograph (EEG) are disclosed, which include analyzing a brain region mutual interaction characteristics using scalp EEG data from a patient 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 treatment response predictive model to determine a treatment outcome prediction for the patient. Further disclosed is a method of generating a treatment response predictive model using EEG dataset of a group of patients under a clinical treatment. The method and system can be used for determining a treatment outcome prediction for a psychiatric disorder patient and a patient diagnosed with COVID-19 and suffering from psychiatric disorder symptom(s) originated from COVID-19.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.