IP Library Granted Patent US 12,324,657
Granted Patent B2
US 12,324,657 · App. 17/846,675 · Granted Jun 10, 2025

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
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,324,657
App. No.
17/846,675
Granted
Jun 10, 2025
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 (50)

1. A system for gathering information regarding an animal and using the information for determining a state of health of the animal, said system comprising:

a device for recording auscultated lung sounds obtained from the animal in the form of digital sound data, said device consisting of a stethoscope;

a processor for processing the digital sound data;

computer coded instructions for manipulating the digital sound data through incorporation of at least one algorithm used to calculate a value, said algorithm utilizing selected frequencies of the auscultated sounds, said algorithm generating a first set of data;

said first set of data recorded in a database of said processor and said first set of data reflective of a diagnosis that corresponds to the value obtained from the algorithm;

wherein said first set of data is calculated by said processor by use of said algorithm performed on said digital sound data, and plotting resulting data as calculated in a frequency domain wherein amplitudes of frequencies differentiate between categories of sounds corresponding to various levels of respiratory disease;

a user display incorporated on the stethoscope for displaying information reflective of a state of health of the animal corresponding to the diagnosis and to additional health information;

at least one field device wirelessly communicating with the stethoscope, said field device including at least one of a RFID reader, a diagnostic device, and a temperature probe;

a second set of data obtained from the field device as prompted by a query from the stethoscope, wherein the second set of data corresponds to additional data obtained from the field device for the animal, and the first and second data sets collectively are provided to the user display corresponding to the additional health information; and

wherein said value is a numerical lung score that is compared to threshold values, and these threshold values are expressed as corresponding scaled lung scores that are defined as corresponding to respiratory conditions indicating the health status of the animal's respiratory condition; and

wherein said scaled lung scores are displayed as whole numbers on said user interface.

2. A system, as claimed in claim 1 , wherein:

said processor and said computer coded instructions are within a remote computer, and said stethoscope communicates wirelessly with said remote computer by transmitting the digital sound data to the remote computer and receiving the diagnosis and additional health information for display on the user display.

3. A system, as claimed in claim 1 , wherein:

said processor and said computer coded instructions are incorporated within an integrated recording and display unit of the stethoscope.

4. The system, as claimed in claim 1 wherein:

the selected frequencies are between about 500-900 Hz.

5. A system for diagnosing animal diseases using auscultation analysis, said system comprising being especially adapted for auscultation analysis of lung sounds of a non-human animal, comprising:

(a) a device for recording auscultated lung sounds obtained from the animal consisting of a stethoscope, the stethoscope comprising: a housing including an integrated recording and display unit, said integrated recording and display 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;

wherein the at least one numerical value includes a plurality of numerical values corresponding to resulting data that is plotted in a frequency domain wherein amplitudes of frequencies corresponding to differentiate between categories of sounds corresponding to various levels of respiratory disease;

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 said plurality of numerical values as plotted are expressed as scaled lung scores that are defined as corresponding to respiratory conditions indicating the health status of the animal's respiratory condition, and said scaled lung scores are displayed as whole numbers on said user interface;

wherein the respiratory condition is made visible by a plurality of lights that are either illuminated or not illuminated, wherein if the lights are illuminated, the lights indicate the health status and if not illuminated, the lights do not indicate the health status; and

(b) a user display incorporated on the stethoscope for displaying information reflective of a state of health of the animal; and

(c) at least one field device wirelessly communicating with the stethoscope, said field device including at least one of a RFID reader, a diagnostic device, and a temperature probe.

6. The system, as claimed in claim 5 wherein:

the selected frequencies are between about 500-900 Hz.

7. A system for gathering information regarding an animal and using the information for determining a state of health of the animal, said system comprising:

a device for recording auscultated lung sounds obtained from the animal in the form of digital sound data, the device consisting of a stethoscope;

a processor for processing the digital sound data;

a filter associated with said processor to filter sources of noise from the sounds recorded by said stethoscope, said filter including at least one of; (a) a heart-beat filter to filter heart-beat amplitudes in a range of 0-250 Hz, (b) a crackle filter to filter crackle/pop amplitudes in a range of 500-2000 Hz, and (c) a high amplitude noise filter to filter high noise amplitudes in a range of 500-1000 Hz;

computer coded instructions for manipulating the digital sound data through incorporation of at least one algorithm used to calculate a value, said algorithm utilizing selected frequencies of the auscultated sounds, said algorithm generating a first set of data;

said first set of data recorded in a database of said processor and said first set of data reflective of a diagnosis that corresponds to the value obtained from the algorithm;

wherein said first set of data is calculated by said processor by use of said algorithm performed on said digital sound data, and plotting resulting data as calculated in a frequency domain wherein amplitudes of frequencies differentiate between categories of sounds corresponding to various levels of respiratory disease;

a user display incorporated on the stethoscope for displaying information reflective of a state of health of the animal corresponding to the diagnosis and to additional health information;

at least one field device wirelessly communicating with the stethoscope, said field device including at least one of a RFID reader, a diagnostic device, and a temperature probe;

a second set of data obtained from the field device as prompted by a query from the stethoscope, wherein the second set of data corresponds to additional data obtained from the field device for the animal, and the first and second data sets collectively are provided to the user display corresponding to the additional health information; and

wherein said value is a numerical lung score that corresponds to a respiratory condition indicating a health status of the animal's respiratory condition.

8. A system for gathering information regarding an animal and using the information for determining a state of health of the animal, said system comprising:

a device for recording auscultated lung sounds obtained from the animal in the form of digital sound data, said device consists of at least one of a stethoscope or audio digital recording unit;

a processor for processing the digital sound data;

computer coded instructions for manipulating the digital sound data through incorporation of at least one algorithm used to calculate a value, said algorithm utilizing selected frequencies of the auscultated sounds, said algorithm generating a first set of data;

said first set of data recorded in a database of said processor and said first set of data reflective of a diagnosis that corresponds to the value obtained from the algorithm;

wherein said first set of data is calculated by said processor by use of said algorithm performed on said digital sound data, and plotting resulting data as calculated in a frequency domain wherein amplitudes of frequencies differentiate between categories of sounds corresponding to various levels of respiratory disease;

a user display incorporated on the stethoscope for displaying information reflective of a state of health of the animal corresponding to the diagnosis and to additional health information;

at least one field device wirelessly communicating with the stethoscope, said field device including at least one of a RFID reader, a diagnostic device, and a temperature probe;

a second set of data obtained from the field device as prompted by a query from the stethoscope, wherein the second set of data corresponds to additional data obtained from the field device for the animal, and the first and second data sets collectively are provided to the user display corresponding to the additional health information; and

wherein said value is a numerical lung score that is compared to threshold values, and these threshold values are expressed as corresponding scaled lung scores that are defined as corresponding to respiratory conditions indicating the health status of the animal's respiratory condition; and

wherein said scaled lung scores are displayed as whole numbers on said user interface.

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 Jul 12, 2022
From: GEISSLER, RANDOLPH K.; TAYLOR, GARRETT W.; TAYLOR, WADE A.; NOFFSINGER, THOMAS H.; LEWIS, STEVE A.; NELSON, SCOTT A.
To: PIERSON PRECISION AUSCULTATION
Reel/Frame 060488/0321 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2022
From: GEISSLER COMPANIES, LLC
To: INTERVET INC.
Reel/Frame 060488/0404 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2022
From: PIERSON PRECISION AUSCULTATION
To: GEISSLER COMPANIES, LLC
Reel/Frame 060637/0548 →
Continuity (4)
Division 13442569 · Apr 9, 2012
Continuation In Part 12267448 · Nov 7, 2008
Provisional Application 60990834 · Nov 28, 2007
Related Publication 20220313111A1 · Oct 6, 2022
References Cited (135)
US 4109643A · Bond et al. · 1978 [cited by applicant]
US 4720866A · Elias et al. · 1988 [cited by applicant]
US 4928705A · Sekhar et al. · 1990 [cited by applicant]
US 5010889A · Bredesen et al. · 1991 [cited by applicant]
US 5025809A · Johnson et al. · 1991 [cited by applicant]
US 5165417A · Murphy, Jr. · 1992 [cited by applicant]
US 5218969A · Bredesen et al. · 1993 [cited by applicant]
US 5255685A · Parra · 1993 [cited by applicant]
US 5301679A · Taylor · 1994 [cited by applicant]
US 5769755A · Henry et al. · 1998 [cited by applicant]
US 5825895A · Grasfield et al. · 1998 [cited by applicant]
US 6053872A · Mohler · 2000 [cited by applicant]
US 6210344B1 · Perin et al. · 2001 [cited by applicant]
US 6261238B1 · Gavriely · 2001 [cited by applicant]
US 6287254B1 · Dodds · 2001 [cited by applicant]
US 6309352B1 · Oraevsky et al. · 2001 [cited by applicant]
US 6394967B1 · Murphy, Jr. · 2002 [cited by applicant]
US 6396931B1 · Malilay · 2002 [cited by applicant]
US 6418876B1 · Hall et al. · 2002 [cited by applicant]
US 6443907B1 · Mansy et al. · 2002 [cited by applicant]
US 6496722B1 · Schmidt · 2002 [cited by applicant]
US 6520924B2 · Lee · 2003 [cited by applicant]
US 6535131B1 · Bar-Shalom et al. · 2003 [cited by applicant]
US 6629937B2 · Watrous · 2003 [cited by applicant]
US 6699204B1 · Kehyayan · 2004 [cited by examiner]
US 6706002B1 · Halleck et al. · 2004 [cited by applicant]
US 6887208B2 · Kushnir et al. · 2005 [cited by applicant]
US 6949075B2 · Hatlesad et al. · 2005 [cited by applicant]
US 6953436B2 · Watrous et al. · 2005 [cited by applicant]
US 6966400B1 · Rollins et al. · 2005 [cited by applicant]
US 6979298B2 · Vodyanoy et al. · 2005 [cited by applicant]
US 7026941B1 · Anderson · 2006 [cited by applicant]
US 7066894B2 · Halleck et al. · 2006 [cited by applicant]
US 7346174B1 · Smith · 2008 [cited by applicant]
US 7642730B2 · Dowling · 2010 [cited by applicant]
US 8152734B2 · Noffsinger et al. · 2012 [cited by applicant]
US 8790270B2 · Landesberg · 2014 [cited by applicant]
US 9824182B2 · Röder et al. · 2017 [cited by applicant]
US 10064580B2 · Brattain et al. · 2018 [cited by applicant]
US 20020010390A1 · Guice et al. · 2002 [cited by applicant]
US 20020188227A1 · Chong et al. · 2002 [cited by applicant]
US 20020193949A1 · Fischer · 2002 [cited by applicant]
US 20030002685A1 · Werblud · 2003 [cited by applicant]
US 20030072457A1 · Grasfield et al. · 2003 [cited by applicant]
US 20040092846A1 · Watrous · 2004 [cited by applicant]
US 20040236241A1 · Murphy · 2004 [cited by examiner]
US 20040260188A1 · Syed et al. · 2004 [cited by applicant]
US 20040267321A1 · Boileau · 2004 [cited by applicant]
US 20050014999A1 · Rahe-Meyer · 2005 [cited by applicant]
US 20050090755A1 · Guion et al. · 2005 [cited by applicant]
US 20050137464A1 · Bomba · 2005 [cited by applicant]
US 20050143628A1 · Dai et al. · 2005 [cited by applicant]
US 20050164231A1 · Staudt · 2005 [cited by applicant]
US 20050257748A1 · Kriesel et al. · 2005 [cited by applicant]
US 20060027979A1 · Yang et al. · 2006 [cited by applicant]
US 20060074334A1 · Coyle · 2006 [cited by applicant]
US 20060160766A1 · Cheung · 2006 [cited by applicant]
US 20060198533A1 · Wang et al. · 2006 [cited by applicant]
US 20060201432A1 · Pratt · 2006 [cited by examiner]
US 20060206013A1 · Rothman · 2006 [cited by examiner]
US 20060243280A1 · Caro · 2006 [cited by examiner]
US 20060253005A1 · Drinan · 2006 [cited by applicant]
US 20070048749A1 · Chen · 2007 [cited by applicant]
US 20070055151A1 · Shertukde et al. · 2007 [cited by applicant]
US 20070088194A1 · Tahar et al. · 2007 [cited by applicant]
US 20070105136A1 · Staudt · 2007 [cited by applicant]
US 20070106179A1 · Bagha · 2007 [cited by examiner]
US 20070208263A1 · John · 2007 [cited by applicant]
US 20070231921A1 · Roder · 2007 [cited by applicant]
US 20070281319A1 · Kolopp-Sarda · 2007 [cited by applicant]
US 20070282174A1 · Sabatino · 2007 [cited by applicant]
US 20080013747A1 · Tran · 2008 [cited by applicant]
US 20080037800A1 · Grasfield et al. · 2008 [cited by applicant]
US 20080071155A1 · Kiani · 2008 [cited by applicant]
US 20080090233A1 · Garcia · 2008 [cited by applicant]
US 20080232605A1 · Bagha · 2008 [cited by applicant]
US 20080269625A1 · Halperin · 2008 [cited by applicant]
US 20090012415A1 · Thiagarajan et al. · 2009 [cited by applicant]
US 20090209849A1 · Rowe et al. · 2009 [cited by applicant]
US 20100056956A1 · Dufresne et al. · 2010 [cited by applicant]
US 20100145210A1 · Graff et al. · 2010 [cited by applicant]
US 20100160809A1 · Laurence et al. · 2010 [cited by applicant]
US 20100208960A1 · Kiyota · 2010 [cited by applicant]
US 20100267062A1 · Frey · 2010 [cited by applicant]
US 20100286532A1 · Farringdon et al. · 2010 [cited by applicant]
US 20110033852A1 · Wirtz · 2011 [cited by applicant]
US 20110182820A1 · Seeburger · 2011 [cited by applicant]
US 20120009581A1 · Bankaitis-Davis · 2012 [cited by applicant]
US 20120040354A1 · Johansen · 2012 [cited by applicant]
US 20120040381A1 · Snider et al. · 2012 [cited by applicant]
US 20120115808A1 · Della Valle et al. · 2012 [cited by applicant]
US 20130004482A1 · Perou · 2013 [cited by applicant]
US 20130041683A1 · Boissel · 2013 [cited by applicant]
US 20130071874A1 · Perree · 2013 [cited by applicant]
US 20130288276A1 · Matsuya · 2013 [cited by applicant]
US 20150160193A1 · Presant · 2015 [cited by applicant]
AU 2005100352A4 · 2005 [cited by applicant]
CN 2234248Y · 1996 [cited by applicant]
CN 2567709Y · 2003 [cited by applicant]
EP 0956821A1 · 1999 [cited by applicant]
WO 2011120524A1 · 2011 [cited by applicant]
WO 2013006066A1 · 2013 [cited by applicant]
International Search Report for International (PCT) Patent Application No. PCT/US2009/060080, mailed Dec. 3, 2009. [cited by applicant]
Written Opinion for International (PCT) Patent Application No. PCT/US2009/060080, mailed Dec. 3, 2009. [cited by applicant]
International Preliminary Report on Patentability for International Patent Application No. PCT/US2009/060080, mailed May 19, 2011, 8 pages. [cited by applicant]
“Auscultation”, Wikipedia, available at http://en.wikipedia.org/wiki/Auscultation, accessed Nov. 13, 2007, pp. 1-2. [cited by applicant]
“Fourier Transform”, Wikipedia, available at http://en.wikipedia.org/wiki/Fourier_transform, accessed Nov. 9, 2007, pp. 1-14. [cited by applicant]
“Stethoscope”, Wikipedia, available at http://en.wikipedia.org/wiki/Electronic_stethoscope, accessed Nov. 13, 2007, pp. 1-3. [cited by applicant]
“WAV”, Wikipedia, available at http://en.wikipedia.org/wiki/WAV, accessed Nov. 9, 2007, pp. 1-3. [cited by applicant]
“WAVE File Format”, available at http://www.borg.com/˜jglatt/tech/wave.htm, accessed Nov. 9, 2007, pp. 1-10. [cited by applicant]
Car et al., “The Role of leucocytes in the pathogenesis of Fibrin Deposition in Bovine Acute Lung Injury”, Am J Path 138 (5):1191-1198, 1991. [cited by applicant]
Ferrari et al. “Cough sound description in relation to respiratory diseases in dairy calves.” Preventative Veterinary Medicine, Sep. 2010, vol. 96, No. 3-4, pp. 276-280. [cited by applicant]
Noffsinger, “Lung Auscultation and Sick Calf Management”, date unknown, pp. 1-68. [cited by applicant]
Robinson et al., “Physiology of the Bovine Lung,” Departments of Physiology and Large Animal Clinical Sciences, Michigan State University, pp. 192-222, date unknown. [cited by applicant]
Robinson, “Some functional Consequences of species differences in lung anatomy”, Advances in Veterinary Science and Comparative Medicine, vol. 26, pp. 1-33. [cited by applicant]
Thomson, “The pathogenesis and Lesions of Pneumonia in Cattle”, Compendium Cont Ed Pract Vet 7(11 ): s403-S411, 1981. [cited by applicant]
Veit et al., “The Anatomy and Physiology of Bovine Resp System relating to Pulmonary Disease” Cornell Vet 68:555-581 1978. [cited by applicant]
Weekley et al., “Potential Morphologic and Physiologic factors that predispose the Bovine Lung to Resp Disease”, Compendium Cantin Education Pract Vet 17(7):974-982, 1995. [cited by applicant]
“3M ™ Littmann® Electronic Stethoscope Model 3100, Hunter Green Tube, 27 inch, 3100HG,” 3M, 2012, found at www.3m.com/producUinformation/Littmann-31 OD-Electronic-Stethoscope.html, 2 pages. [cited by applicant]
International Search Report and Written Opinion for International (PCT) Patent Application No. PCT/US13/23044, mailed Apr. 12, 2013, 9 pages. [cited by applicant]
Extended Search Report for European Patent Application No. 09825178.8 dated May 28, 2013, 6 pages. [cited by applicant]
Chiumello et al. “Mechanical ventilation affects local and systemic cytokines in an animal model of acute respiratory distress syndrome.” American Journal of Respiratory and Critical Care Medicine, Jul. 1999, vol. 160, … [cited by applicant]
International Search Report and Written Opinion for International (PCT) Patent Application No. PCT/US14/13486, mailed Apr. 21, 2014, 12 pages. [cited by applicant]
International Preliminary Report on Patentability for International (PCT) Patent Application No. PCT/US2013/023044, mailed Dec. 18, 2014, 8 pages. [cited by applicant]
International Preliminary Report on Patentability for International (PCT) Patent Application No. PCT/US2014/013486, mailed Aug. 20, 2015 11 pages. [cited by applicant]
Dedonder et al. “Lung Auscultation and Rectal Temperature as a Predictor of Lung Lesions and Bovine Respiratory Disease Treatment Outcome in Feedyard Cattle,” Bovine Practitioner, 2010, vol. 44, No. 2, pp. 146-153. [cited by applicant]
Godinho et al. “Efficacy of tulathromycin in the treatment and prevention of natural outbreaks 01 bovine respiratory disease in European cattle,” Veterinary Therapeutics, 2005, vol. 6, No. 2, pp. 122-135. [cited by applicant]
Harland et al. “Efficacy of parenteral antibiotics for disease prophylaxis in feedlot calves.” The Canadian Veterinary Journal, Mar. 1991, vol. 32, No. 3, pp. 163-168. [cited by applicant]
Hibbard et al. “Dose determination and confirmation of a long-acting formulation of cefliofur (cefliofur crystalline free acid) administered subcutaneously for the treatment of bovine respiratory disease,” Jorunal of Ve… [cited by applicant]
Loneragan et al. “Trends in mortality ratios among cattle in US feedlots,” Journal of the American Veterinary Medical Association, Oct. 2001, vol. 219, No. 8, pp. 1122-1127. [cited by applicant]
Rerat et al. “Bovine respiratory disease: Efficacy of different prophylactic treatments in veal calves and antimicrobial resistance of isolated Pasteurellaceae,” Preventitive Veterinary Medicine, 2012, vol. 103, No. 4, … [cited by applicant]
Extended Search Report for European Patent Application No. 13775692.0, dated May 27, 2016, 10 pages. [cited by applicant]
Extended Search Report for European Patent Application No. 14749175.7, dated Oct. 14, 2016, 8 pages. [cited by applicant]
Examination Report in Canadian Application No. 2,867,619 dated Apr. 25, 2019, 4 pages. [cited by applicant]
Technical Examination Report in counterpart Brazilian Patent Application No. BR1220220056750, mailed on Jul. 26, 2022, 4 pages. [cited by applicant]