Adarsh Anand

Title: Adarsh Anand and EEG Motor Imagery Classification

Introduction

Adarsh Anand is an inventor based in Bengaluru, India. His work includes a patent on classifying electroencephalogram (EEG) signals associated with motor imagery, a technique used in brain-computer interface research.

Latest Patents

Anand’s patent, “Method and System for EEG Motor Imagery Classification,” addresses limitations in existing approaches to representing EEG signals. Such approaches often treat EEG channels as graph nodes and define their connections in advance or through heuristics, which may not accurately capture the brain’s functional networks.

The disclosed method trains a weighted adjacency matrix and a Graph Neural Network (GNN) to represent EEG signals. It also trains graph, node, and edge classifiers, enabling motor imagery classification as well as node and edge classification. The patent record provided lists 1 patent for Anand.

Career Highlights

Anand works at Tata Consultancy Services Limited. His patent work applies graph-based machine learning methods to EEG classification.

Collaborations

The patent’s listed collaborators include Jayavardhana Rama Gubbi Lakshminarasimha and Kartik Muralidharan.

Conclusion

Adarsh Anand’s patented approach combines a trained graph representation with multiple classification tasks, offering a method for analyzing EEG signals in motor imagery research.