Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals

US10750972B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Anwesha Khasnobish · Sherghati, IN
• Kingshuk Chakravarty · Sherghati, IN
• Debatri Chatterjee · Sherghati, IN
• Aniruddha Sinha · Narayanpur, IN

Key dates

• Filing date: Mar 5, 2018
• Grant date: Aug 25, 2020
• Expiry date: Mar 15, 2039

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/726
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

This disclosure relates generally to head movement noise removal from electrooculography (EOG) signals, and more particularly to systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. Embodiments of the present disclosure provide for head movement noise removal from the EOG signals by acquiring EOG signals of a user, filtering the acquired EOG signals to obtain a first set of filtered EOG signals, smoothening the first set of filtered EOG signals to obtain smoothened EOG signals, removing one or more redundant patterns and one or more direct current (DC) drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals, and applying, a discrete wavelet transform on the second set of filtered EOG signals to filter a plurality of head movement noise from the second set of filtered EOG signals of the user.