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:
Sep. 20, 2022

Filed:

Oct. 10, 2018
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Avik Ghose, Kolkata, IN;

Arijit Chowdhury, Kolkata, IN;

Sonia Sharma, Guwahati, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 10/60 (2018.01); A61B 5/11 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4088 (2013.01); A61B 5/4064 (2013.01); A61B 5/7232 (2013.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); A61B 5/1118 (2013.01); G16H 10/60 (2018.01);
Abstract

This disclosure relates generally to detection of mild cognitive impairments in subjects. The method and system proposed provides a continuous/seamless monitoring platform for MCI detection in subjects by continuously monitoring routine activities of subjects (Activities of Daily Living (ADL)) in a smart environment using plurality of passive, unobtrusive, binary, unobtrusive non-intrusive sensors embedded in living infrastructure. The proposed method and system detects symptoms of MCI at the onset of the disease, while also addressing issue of sensor failures that causes gaps in the data. The collected sensor data is pre-processed in several stages which includes which includes pre-processing of sensor data, behavior deviation detection, and abnormality detection and so on. Further, the disclosure also proposes an autoencoder based technique, to reduce the dimension of the data to find personalized deviations in behavior of a subject which is used to detect if a subject could be a potential case of MCI.


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