IP Library Granted Patent US 11,389,080
Granted Patent B2
US 11,389,080 · App. 13/442,569 · Granted Jul 19, 2022

System and method for diagnosis of bovine diseases using auscultation analysis

Inventors: Randolph K. Geissler (Hudson, WI); Garrett W. Taylor (Oakley, KS); Wade A. Taylor (Oakley, KS); Thomas H. Noffsinger (Benkelman, NE); Steve A. Lewis (Bloomington, MN); Scott A. Nelson (Egan, MN)
Assignee: INTERVET INC.
A61B5/08A61B7/003A61B7/04A61B5/7257A61B2503/40
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Quick Facts
Patent No.
US 11,389,080
App. No.
13/442,569
Granted
Jul 19, 2022
Kind
B2
Abstract

A system and method are provided for diagnosis of animal respiratory diseases using auscultation techniques. Animal lung sounds are recorded and digitized. Lung sounds are obtained by an electronic digital stethoscope or a wireless audio digital recording unit. The sounds are stored as digital data, and one or more algorithms are applied to the data for producing an output to the user indicative of the health of the animal. The acoustic characteristics of the sound are compared with baseline data in the algorithms. One embodiment includes a digital stethoscope with an integral display. Another embodiment provides a system for gathering information about an animal to include not only auscultation data, but also information from other field devices such as temperature probes or weigh scales. The combined information can be analyzed by system software to generate detailed information to a user to include a diagnosis and recommended treatment options.

Claims (35)

1. An electronic digital stethoscope especially adapted for auscultation analysis of lungs sounds of a non-human animal, comprising:

a chest piece;

at least one earpiece;

a housing connected to said chest piece and said at least one earpiece, said housing comprising an integrated recording and display unit, said unit including (i) a processor in said housing for processing digital sound data of the lungs sounds of the non-human animal received by auscultation, (ii) computer coded instructions for manipulating the digital sound data through incorporation of at least one numerical algorithm that calculates at least one numerical value, said numerical algorithm utilizing selected frequencies of auscultated lung sounds of the non-human animal, said numerical algorithm generating a first set of data including the at least one numerical value, corresponding to an indication of a health state of the non-human animal;

wherein said at least one numerical value is calculated by said processor by use of a Fourier transform performed on said digital sound data, plotting resulting data from said Fourier transform in a frequency domain wherein amplitudes of frequencies between about 500-900 HZ differentiate between categories of sounds corresponding to various levels of respiratory disease;

wherein the at least one numerical value is a calculated numerical lung score compared to threshold values that correspond to respiratory conditions indicating the health status

wherein said calculated numerical lung score is compared to a threshold value that corresponds to a respiratory condition expressed in a scaled lung score;

wherein a health status indicator in said housing including at least one of a plurality of health indicator lights that indicate the health status of the non-human animal;

wherein said health indicator lights include a plurality of lights that correspond to

a health condition of said animal derived from said scaled lung score including a mild condition, a mild acute condition, a moderate acute condition, a severe acute condition, and a chronic condition.

2. The electronic digital stethoscope, as claimed in claim 1 , wherein: said plurality of health indicator lights of said health status indicator includes at least one numbered illuminated light that, when illuminated, corresponds to the health status, said health status including at least one of a normal condition, a mild acute condition, a moderate acute condition, a severe acute condition, or a chronic condition.

3. The electronic digital stethoscope, as claimed in claim 1 , wherein: said plurality of health indicator lights of said health status indicator include five numbered health indicator lights that when illuminated, indicate five corresponding health conditions.

4. The electronic digital stethoscope, as claimed in claim 3 , wherein: said five corresponding health conditions include a normal condition, a mild acute condition, a moderate acute condition, a severe acute condition and a chronic condition.

5. An electronic digital stethoscope especially adapted for auscultation analysis of lungs sounds of a non-human animal, comprising:

a chest piece;

at least one earpiece;

a housing connected to said chest piece and said at least one earpiece, said housing comprising an integrated recording and display unit, said unit including (i) a processor in said housing for processing digital sound data of the lungs sounds of the non-human animal received by auscultation, (ii) computer coded instructions for manipulating the digital sound data through incorporation of at least one numerical algorithm that is used by said processor to calculate at least one numerical value, said numerical algorithm utilizing selected frequencies of auscultated lung sounds of the non-human animal, wherein said at least one numerical value calculated by said processor includes use of a Fourier transform performed on said digital sound data, plotting resulting data from said Fourier transform in a frequency domain wherein amplitudes of frequencies between about 500-900 HZ differentiate between categories of sounds corresponding to various levels of respiratory disease and said housing including a health status indicator and

wherein said health status indicator provides a health status of the non-human animal based upon an auscultation analysis that has taken place with auscultated lung sounds recorded by the stethoscope upon the non-human animal;

wherein the at least one numerical value is a calculated numerical lung score compared to threshold values that correspond to respiratory conditions indicating the health status and wherein said calculated numerical lung score is compared to a threshold value that corresponds to a respiratory condition expressed in a scaled lung score;

wherein the health status is made observable to a user on said health status indicator that indicates the health status of the non-human animal wherein said health status indicator includes a plurality of lights that correspond to at least one of:

a health condition of said animal derived from said scaled lung score including a mild condition, a mild acute condition, a moderate acute condition, a severe acute condition, and a chronic condition.

6. A stethoscope, as claimed in claim 5 , wherein:

said unit further includes a wireless adapter for wireless communication.

7. The electronic digital stethoscope, as claimed in claim 5 , wherein

the health status indicator includes at least one numbered light that, when illuminated, corresponds to a health condition of the animal, said health condition including at least one of a normal condition, a mild acute condition, a moderate acute condition, a severe acute condition and a chronic condition.

8. An electronic digital stethoscope especially adapted for auscultation analysis of lungs sounds of a non-human animal, comprising:

a chest piece;

a housing connected to said chest piece, said housing comprising an integrated recording and display unit, said unit including (i) a processor in said housing for processing digital sound data of the lungs sounds of the non-human animal received by auscultation, (ii) computer coded instructions for manipulating the digital sound data through incorporation of at least one numerical algorithm that calculates at least one numerical value, said numerical algorithm utilizing selected frequencies of auscultated lung sounds of the non-human animal, and said housing including a health status indicator and

wherein the at least one numerical value is calculated by said processor by use of a Fourier transform performed on said digital sound data, plotting resulting data from said Fourier transform in a frequency domain wherein amplitudes of frequencies between about 500-900 HZ differentiate between categories of sounds corresponding to various levels of respiratory disease;

wherein said health status indicator provides a health status of the non-human animal based upon an auscultation analysis that has taken place with auscultated lung sounds recorded by the stethoscope upon the non-human animal;

wherein the at least one numerical value is a calculated numerical lung score compared to threshold values that correspond to respiratory conditions indicating the health status;

wherein said calculated numerical lung score is compared to a threshold value that corresponds to a respiratory condition expressed in a scaled lung score;

wherein said health status indicator includes a plurality of lights that are either illuminated or not illuminated, wherein if the lights are illuminated, the lights indicate a health status and if not illuminated, the lights do not indicate a health status of the non-human animal; and

wherein illuminated health lights correspond to:

a health condition of said animal derived from said scaled lung score including a mild condition, a mild acute condition, a moderate acute condition, a severe acute condition, and a chronic condition.

Assignments (4)
CHANGE OF ADDRESS Recorded Sep 26, 2023
From: INTERVET INC.
To: INTERVET INC.
Reel/Frame 065028/0818 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 28, 2016
From: GEISSLER COMPANIES, LLC
To: INTERVET INC.
Reel/Frame 040783/0382 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 21, 2014
From: PIERSON PRECISION AUSCULTATION
To: GEISSLER COMPANIES, LLC
Reel/Frame 032716/0590 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 11, 2012
From: GEISSLER, RANDOLPH K.; TAYLOR, GARRETT W.; NOFFSINGER, THOMAS H.; TAYLOR, WADE A.; LEWIS, STEVE A.; NELSON, SCOTT A.
To: PIERSON PRECISION AUSCULTATION
Reel/Frame 028194/0878 →
Continuity (3)
Continuation In Part 12267448 · Nov 7, 2008
Provisional Application 60990834 · Nov 28, 2007
Related Publication 20120215077A1 · Aug 23, 2012