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:
May. 19, 2020

Filed:

Dec. 28, 2015
Applicant:

Wipro Limited, Bangalore, IN;

Inventors:

Sumanta Laha, Begampur, IN;

Sreevidya Khatravath, Hyderabad, IN;

Assignee:

Wipro Limited, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 40/63 (2018.01); A61B 5/0402 (2006.01); A61B 5/145 (2006.01); A61B 5/01 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/00 (2006.01); G16H 50/70 (2018.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06F 19/00 (2018.01);
U.S. Cl.
CPC ...
G16H 40/63 (2018.01); G06F 19/00 (2013.01); G06K 9/00335 (2013.01); G06K 9/6284 (2013.01); G16H 50/70 (2018.01); A61B 5/01 (2013.01); A61B 5/0402 (2013.01); A61B 5/082 (2013.01); A61B 5/11 (2013.01); A61B 5/14542 (2013.01); A61B 5/7264 (2013.01); G06K 2009/00738 (2013.01);
Abstract

The present disclosure relates to a method for monitoring behaviour of a patient in real-time. The method comprises receiving, by a patient monitoring device, data related to the patient from one or more sources. Thereafter, the patient monitoring device classifies the received data into one or more categories based on one or more rules. Further, the patient monitoring device correlates the categorized data to identify one or more activity patterns corresponding to the patient, wherein each of the one or more activity patterns are associated with an activity performed by the patient at predefined time intervals. The patient monitoring devices compares the activity pattern with predefined activity patterns and detects abnormal behaviour of the patient if the identified activity pattern is different from one or more predefined activity patterns corresponding to the patient.


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