The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 23, 2022

Filed:

Sep. 20, 2019
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Tanuka Bhattacharjee, Kolkata, IN;

Deepan Das, Kolkata, IN;

Shahnawaz Alam, Kolkata, IN;

Rohan Banerjee, Kolkata, IN;

Anirban Dutta Choudhury, Kolkata, IN;

Arpan Pal, Kolkata, IN;

Achuth Rao Melavarige Venkatagiri, Bangalore, IN;

Prasanta Kumar Ghosh, Bangalore, IN;

Ayush Ranjan Lohani, Shibpur, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06K 9/62 (2022.01); G06V 10/40 (2022.01); G06V 20/69 (2022.01); G06V 30/24 (2022.01);
U.S. Cl.
CPC ...
A61B 5/4818 (2013.01); G06K 9/6227 (2013.01); G06K 9/6268 (2013.01); G06V 10/40 (2022.01); G06V 20/695 (2022.01); G06V 30/2552 (2022.01);
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.


Find Patent Forward Citations

Loading…