Method and system for assessment of cognitive load from bio-potentials measured using wearable endosomatic device

US11872040B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Debatri Chatterjee · Sherghati, IN
• Dibyanshu Jaiswal · Sherghati, IN
• Arpan Pal · Sherghati, IN
• Ramesh Ramakrishnan · Mount Prospect, US
• Ratna Ghosh · Sherghati, IN
• Madhurima Moulick · Sherghati, IN
• Rajesh Ranjan · Princeton, US

Key dates

• Filing date: Dec 29, 2020
• Grant date: Jan 16, 2024
• Expiry date: Apr 19, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/70
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Direct usage of endosomatic EDA has multiple challenges for practical cognitive load assessment. Embodiments of the method and system disclosed provide a solution to the technical challenges in the art by directly using the bio-potential signals to implement endosomatic approach for assessment of cognitive load. The method utilizes a multichannel wearable endosomatic device capable of acquiring and combining multiple bio-potentials, which are biomarkers of cognitive load experienced by a subject performing a cognitive task. Further, extracts information for classification of the cognitive load, from the acquired bio-signals using a set of statistical and a set of spectral features. Furthermore, utilizes a feature selection approach to identify a set of optimum features to train a Machine Learning (ML) based task classifier to classify the cognitive load experienced by a subject into high load task and low load task.