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:
Jun. 27, 2017

Filed:

Jun. 03, 2015
Applicant:

Imediplus Inc., Chupei, TW;

Inventors:

Kun-Hsi Tsai, Chupei, TW;

Yu Tsao, Taipei, TW;

Shih-Hsuan Ku, Chupei, TW;

Tzu-Chen Liang, Chupei, TW;

Yun-Fan Chang, Taipei, TW;

Shih-I Yang, Chupei, TW;

Assignee:

IMEDI PLUS Inc., Hsinchu, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2006.01); A61B 7/04 (2006.01); A61B 5/00 (2006.01); A61B 8/08 (2006.01); A61B 5/02 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); G06F 19/00 (2011.01); A61B 7/00 (2006.01); A61N 1/39 (2006.01); A61B 5/0205 (2006.01); A61B 5/0428 (2006.01); A61B 5/113 (2006.01); A61N 1/365 (2006.01);
U.S. Cl.
CPC ...
A61B 7/04 (2013.01); A61B 5/02028 (2013.01); A61B 5/0803 (2013.01); A61B 5/1107 (2013.01); A61B 5/4255 (2013.01); A61B 5/7246 (2013.01); A61B 5/7253 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/7282 (2013.01); A61B 7/003 (2013.01); A61B 7/008 (2013.01); A61B 8/0883 (2013.01); A61B 8/0891 (2013.01); A61B 8/5223 (2013.01); G06F 19/345 (2013.01); G06F 19/3431 (2013.01); G06F 19/3481 (2013.01); A61B 5/0205 (2013.01); A61B 5/0428 (2013.01); A61B 5/113 (2013.01); A61B 2562/0204 (2013.01); A61N 1/36578 (2013.01); A61N 1/39 (2013.01);
Abstract

A system for recognizing physiological sound comprises a receiving module, a feature extracting module, a classifier, and a comparing module. A method for recognizing physiological sound comprises receiving a physiological sound by the receiving module; extracting at least one feature from the physiological sound by the feature extraction module; classifying the at least one feature to identify at least one category by a classifier; and comparing the at least one category with a normal physiological sound and/or an abnormal physiological sound by the comparing module for evaluating a risk of disease. The method and system for recognizing physiological sound can precisely identify the specific physiological sound and exclude the noise.


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