Selection of electroencephalography (EEG) channels valid for determining cognitive load of a subject

US10499823B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Arijit Sinharay · Sherghati, IN
• Aniruddha Sinha · Narayanpur, IN
• Diptesh Das · Narayanpur, IN
• Debatri Chatterjee · Sherghati, IN

Key dates

• Filing date: Mar 23, 2015
• Grant date: Dec 10, 2019
• Expiry date: Apr 17, 2037

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B2560/0475
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Disclosed is a method and system for selection of Electroencephalography (EEG) channels valid for determining cognitive load of subject. According to one embodiment, EEG signals are obtained from EEG channels associated with subject performing cognitive tasks are received. Time-frequency features of EEG signals are extracted for a frequency band comprise maximum energy value, minimum energy value, average energy value, maximum frequency value, minimum frequency value, and average frequency value. Weight of an EEG channel associated with time-frequency feature is derived using statistical learning technique. Binary values for EEG channels corresponding to time-frequency feature are assigned using weight of EEG channel associated with time-frequency feature. Intersections of binary values of EEG channels corresponding to maximum energy value and average energy value, minimum energy value and average energy value, maximum frequency value and average frequency value, and minimum frequency value and average frequency value are computed. Unions of intersections are computed, wherein the unions represent EEG channels valid to determine cognitive load of subject.