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:
Mar. 03, 2020

Filed:

Oct. 18, 2017
Applicants:

Sandeep Gupta, Phoenix, AZ (US);

Ayan Banerjee, Mesa, AZ (US);

Inventors:

Sandeep Gupta, Phoenix, AZ (US);

Ayan Banerjee, Mesa, AZ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0404 (2006.01); A61B 5/0456 (2006.01); A61B 5/0432 (2006.01); A61B 5/0452 (2006.01); A61B 5/04 (2006.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01);
U.S. Cl.
CPC ...
A61B 5/7232 (2013.01); A61B 5/0006 (2013.01); A61B 5/0404 (2013.01); A61B 5/04011 (2013.01); A61B 5/04014 (2013.01); A61B 5/0432 (2013.01); A61B 5/0456 (2013.01); A61B 5/04525 (2013.01); A61B 5/6823 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 5/7278 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 5/681 (2013.01); A61B 2560/0209 (2013.01); A61B 2562/04 (2013.01);
Abstract

Methods and systems are described for sensing and recovery of a biological signal using generative-model-based compressive sensing. A transformation is applied to sparsify the quasi-periodic signal removing morphology parameters and leaving temporal parameters. The sparsified signal is sampled and the sampled signal data is transmitted to a base station. A homotopy recovery algorithm is applied to the received sampled signal data by the base station to recover the temporal parameters of the biological signal. Generative modelling is applied using previously captured morphology parameters to generate a reconstructed signal. Finally, the reconstructed signal is adjusted and scaled based on the recovered temporal parameters to provide a reconstructed signal that is diagnostically equivalent to the original biological signal.


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