US2020121265A1PendingUtilityA1

Physiological acoustic monitoring system

Assignee: MASIMO CORPPriority: Oct 15, 2009Filed: Jul 8, 2019Published: Apr 23, 2020
Est. expiryOct 15, 2029(~3.2 yrs left)· nominal 20-yr term from priority
A61B 5/7282A61B 5/7232A61B 5/0205A61B 7/008A61B 5/0002A61B 5/0816A61B 7/003A61B 5/7415A61B 5/024A61B 5/4803A61B 5/4818A61B 5/6833A61B 2562/0204A61B 7/04A61B 5/0826A61B 5/7278
64
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Claims

Abstract

An acoustic monitoring system has an acoustic front-end, a first signal path from the acoustic front-end directly to an audio transducer and a second signal path from the acoustic front-end to an acoustic data processor via an analog-to-digital converter. The acoustic front-end receives an acoustic sensor signal responsive to body sounds in a person. The audio transducer provides continuous audio of the body sounds. The acoustic data processor provides audio of the body sounds upon user demand.

Claims

exact text as granted — not AI-modified
1 .- 7 . (canceled) 
     
     
         8 . A method of transmitting physiological sounds responsive to a signal detected by a physiological sensor attached to a patient, the method comprising:
 processing a signal from a physiological sensor attached to a body of the patient;   comparing features in the processed signal with sound signatures corresponding to physiological sounds that are stored in a first data repository;   generating a plurality of digital tags based on the comparison of the processed signal with the sound signatures; and   transmitting the plurality of digital tags over a network in lieu of the processed signal, thereby reducing bandwidth required for network transmission.   
     
     
         9 . The method of  claim 8 , further comprising generating synthetic physiological sounds from the plurality of digital tags. 
     
     
         10 . The method of  claim 9 , further comprising mixing white noise to generate the synthetic physiological sounds; 
     
     
         11 . The method of  claim 9 , wherein the synthetic physiological sounds are generated on a computing system that is separate from the physiological sensor. 
     
     
         12 . The method of  claim 11 , wherein the computing system comprises a mobile computing device. 
     
     
         13 . The method of  claim 8 , wherein the sound signatures comprise heart sounds. 
     
     
         14 . The method of  claim 8 , wherein the physiological sounds comprise breath sounds. 
     
     
         15 . The method of  claim 12 , further comprising determining cardiopulmonary distress based on the generated plurality of digital tags. 
     
     
         16 . A system of transmitting physiological sounds responsive to a signal detected by a physiological sensor attached to a patient, the system comprising one or more hardware processors configured to:
 process a signal from a physiological sensor attached to a body of the patient;   compare features in the processed signal with sound signatures corresponding to physiological sounds that are stored in a first data repository;   generate a plurality of digital tags based on the comparison of the processed signal with the sound signatures; and   transmit the plurality of digital tags over a network in lieu of the processed signal, thereby reducing bandwidth required for network transmission.   
     
     
         17 . The system of  claim 16 , wherein the one or more hardware processors are further configured to generate synthetic physiological sounds from the plurality of digital tags. 
     
     
         18 . The system of  claim 17 , wherein the one or more hardware processors are further configured to mix white noise to generate the synthetic physiological sounds; 
     
     
         19 . The system of  claim 17 , wherein the synthetic physiological sounds are generated on a computing system that is separate from the physiological sensor. 
     
     
         20 . The system of  claim 19 , wherein the computing system comprises a mobile computing device. 
     
     
         21 . The system of  claim 16 , wherein the sound signatures comprise heart sounds. 
     
     
         22 . The system of  claim 16 , wherein the physiological sounds comprise breath sounds. 
     
     
         23 . The system of  claim 16 , wherein the one or more hardware processors are further configured to determine cardiopulmonary distress based on the generated plurality of digital tags.

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