Stress level monitoring of users using a respiratory signal and alerting thereof

US11771353B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Anwesha Khasnobish · Sherghati, IN
• Arijit Chowdhury · Sherghati, IN
• Tanushree Banerjee · Sherghati, IN
• Debatri Chatterjee · Sherghati, IN

Key dates

• Filing date: Jul 21, 2020
• Grant date: Oct 3, 2023
• Expiry date: Feb 3, 2041

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/7264
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. Embodiments of the present disclosure utilize respiration signals to decipher mental states wherein non-linear baseline drifts in signal is implemented to extract the respiratory features in most effective way. Presence of class imbalance, is effectively rectified using Synthetic Minority Oversampling Technique (SMOTE) to resolve class imbalance problem, which not only increased the classification accuracy, but also reduced classifier bias towards the majority class, which in turn exceedingly enhanced the classifier sensitivity.