System and method for non-apnea sleep arousal detection

US11419542B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Tanuka Bhattacharjee · Sherghati, IN
• Deepan Das · Sherghati, IN
• Shahnawaz Alam · Sherghati, IN
• Rohan Banerjee · Sherghati, IN
• Anirban Dutta Choudhury · Sherghati, IN
• Arpan Pal · Sherghati, IN
• Achuth Rao Melavarige Venkatagiri · Kanchinakote, IN
• Prasanta Ghosh · San Ramon, US
• Ayush Ranjan Lohani · Shirpur, IN

Key dates

• Filing date: Sep 20, 2019
• Grant date: Aug 23, 2022
• Expiry date: Feb 11, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V30/2552
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Monitoring the quality of sleep of an individual is essential for ensuring one's overall well-being. The existing methods for non-apnea sleep arousal detection are manual. A system and method for the non-apnea sleep arousal detection has been provided. The method uses a feature engineering based binary classification approach for distinguishing non-apnea arousal and non-arousal. A training data set is prepared using a plurality of physiological signals. A plurality of features are derived from the training data set. Out of those only a set of features are selected for training a plurality of random forest classifier models. A test sample is then provided to the plurality of random forest classifier models in the instances of fixed duration. This results in generation of prediction probabilities for each instances. The prediction probabilities are then used to predict the probabilities of non-apnea sleep arousal in the test sample.