Physiological acoustic monitoring system
Abstract
A physiological acoustic monitoring system receives physiological data from an acoustic sensor, down-samples the data to generate raw audio of breathing sounds and compresses the raw audio. The acoustic monitoring system has an acoustic sensor signal responsive to tracheal sounds in a person. An A/D converter is responsive to the sensor signal so as to generate breathing sound data. A decimation filter and mixer down-samples the breathing sound data to raw audio data. A coder/compressor generates compressed audio data from the raw audio data. A decoder/decompressor decodes and decompresses the compressed audio data into decompressed audio data. The decompressed audio data is utilized to generate respiration-related parameters in real-time. The compressed audio data is stored and retrieved so as to generate respiration-related parameters in non-real-time. The real-time and non-real-time parameters are compared to verify matching results across multiple monitors.
Claims
exact text as granted — not AI-modified1 . (canceled)
2 . A system for noninvasively monitoring a respiratory distress, said system comprising:
a sensor configured to detect a physiological sound signal from a user; and one or more hardware processors configured to:
convert the detected sound signal from an analog signal to a digital signal;
determine one or more sound signatures corresponding to a respiratory distress in the digital signal; and
generate an alarm based on the determined one or more sound signatures.
3 . The system of claim 2 , wherein the one or more sound signatures correspond to coughing.
4 . The system of claim 2 , wherein the one or more sound signatures correspond to wheezing.
5 . The system of claim 2 , wherein the one or more sound signatures correspond to gasping.
6 . The system of claim 2 , wherein the one or more sound signatures correspond to choking.
7 . The system of claim 2 , wherein the sensor is configured to be worn by the user.
8 . The system of claim 2 , wherein the determination comprises identifying signal deviations of relatively high amplitude.
9 . The system of claim 2 , wherein the determination comprises identifying a sharp slope in the detected sound signal.
10 . The system of claim 2 , wherein the determination comprises comparing the sound signal with one or more stored sound signatures.
11 . The system of claim 2 , wherein the one or more hardware processors are configured to generate digital tags corresponding to the determined sounds signatures.
12 . The system of claim 11 , wherein the one or more hardware processors are configured to transmit the digital tags over a network in lieu of some or all of the sound signal.
13 . A method of noninvasively monitoring a respiratory distress, the method comprising:
detecting, by a sensor, a physiological sound signal from a user; converting the detected sound signal from an analog signal to a digital signal; determine one or more sound signatures corresponding to a respiratory distress in the digital signal; and generating an alarm based on the determined one or more sound signatures.
15 . The method of claim 13 , wherein the one or more sound signatures correspond to wheezing.
16 . The method of claim 13 , wherein the one or more sound signatures correspond to choking.
17 . The method of claim 13 , wherein the sensor is configured to be worn by the user.
18 . The method of claim 13 , wherein the determination comprises identifying signal deviations of relatively high amplitude.
19 . The method of claim 13 , wherein the determination comprises identifying a sharp slope in the detected sound signal.
20 . The method of claim 13 , wherein the determination comprises comparing the sound signal with one or more stored sound signatures.
21 . The method of claim 13 , further comprising generating digital tags corresponding to the determined sounds signatures and transmitting the digital tags over a network in lieu of some or all of the sound signal.Join the waitlist — get patent alerts
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