US2020121265A1PendingUtilityA1
Physiological acoustic monitoring system
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
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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-modified1 .- 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.Join the waitlist — get patent alerts
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