Cough detection

Patent metadata

Field	Value
Publication number	US-11918345-B2
Application number	US-202318298573-A
Country	US
Kind code	B2
Filing date	Apr 11, 2023
Priority date	Jun 15, 2020
Publication date	Mar 5, 2024
Grant date	Mar 5, 2024

Abstract

A method of cough detection in a headset, the method comprising: receiving a first signal from an external transducer of the headset; receiving a second signal from an in-ear transducer of the headset; and detecting a cough of a user of the headset based on the first and second signals.

First claim

The invention claimed is:

1. An apparatus for cough detection, comprising:
a first input for receiving a first signal from a microphone of a personal audio device;
a second input for receiving a second signal from a speaker of the personal audio device; and
one or more processors configured to:
detect a cough of a user of the personal audio device based on the first and second signals.

2. The apparatus of claim 1 , wherein the microphone is an external microphone and the speaker is an in-ear speaker.

3. The apparatus of claim 2 , wherein detecting the cough comprises:
determining a correlation between the cough event in the first signal and a cough event in the second signal.

4. The apparatus of claim 3 , wherein:
determining the first energy comprises high pass filtering the first signal;
determining the second energy comprises low pass filtering the first signal; and
determining the third energy comprises low pass filtering the second signal.

5. The apparatus of claim 4 , further comprising:
determining a change of orientation of the personal audio device; and
detecting the cough based on the change in orientation.

6. The apparatus of claim 5 , wherein the personal audio device further comprises an accelerometer configured to generate an accelerometer signal, the one or more processors configured to detect the cough based on the first and second signals and the accelerometer signal.

7. The apparatus of claim 6 , wherein the change in orientation is determined based on the accelerometer signal.

8. The apparatus of claim 5 , further comprising:
high-pass filtering the second signal, wherein the cough is detected based on the high-pass filtered second signal.

9. The apparatus of claim 5 , further comprising:
determining a severity of the cough based on the second signal.

10. The apparatus of claim 1 , wherein detecting the cough comprises:
detecting a cough event in the first signal;
detecting a cough event in the second signal.

11. The apparatus of claim 1 , wherein detecting the cough comprises:
determining a first energy in a first frequency band of the first signal;
determining a second energy in a second frequency band of the first signal; and
determining a third energy in a third frequency band of the second signal, wherein the first frequency band has a higher centre frequency than the second frequency band and the third frequency band.

12. The apparatus of claim 1 , wherein the one or more processors are further configured to:
on detection of the cough, determine one or more characteristics of the cough based on the first and second signals.

13. The apparatus of claim 12 , further comprising an accelerometer, wherein the one or more processors are further configured to:
determining the one or more characteristics of the cough based on an accelerometer signal derived from the accelerometer.

14. The apparatus of claim 12 , wherein determining the one or more characteristics of the cough comprises:
providing the first and second signals to a neural network.

15. The apparatus of claim 12 , wherein the one or more processors are further configured to:
determine a medical condition of the user based on the determined one or more characteristics of the cough.

16. The apparatus of claim 15 , wherein the medical condition comprises asthma or croup or chronic obstructive pulmonary disease (COPD) or pneumonia or coronavirus or influenza.

17. The apparatus of claim 1 , wherein the second signal is generated based on a bias current of the speaker.

18. The apparatus of claim 17 , further comprising a resistor coupled between an input terminal of the speaker and a ground reference voltage, wherein the second signal is derived from a voltage across the resistor.

19. The apparatus of claim 18 , further comprising an analog-to-digital converter configured to convert the voltage across the resistor to a digital representation.

20. The apparatus of claim 1 , wherein the personal audio device comprises a device worn by the user.

21. A method of cough detection in a personal audio device, the method comprising:
receiving a first signal from a first transducer of the personal audio device;
receiving a second signal from a second transducer of the personal audio device; and
detecting a cough of a user of the personal audio device based on the first and second signals.

22. A non-transitory storage medium having instructions thereon which, when executed by a processor, cause the processor to perform a method
receiving a first signal from a first transducer of the personal audio device;
receiving a second signal from a second transducer of the personal audio device; and
detecting a cough of a user of the personal audio device based on the first and second signals.

23. An electronic device comprising the apparatus of claim 1 .

Assignees

• Cirrus Logic Int Semiconductor Ltd
• Cirrus Logic Inc

Inventors

• Lesso John P
• Suryono Yanto
• Ido Toru

Classifications

• A61B5/0823 Primary

  Detecting or evaluating cough events · CPC title

• A61B5/0803

  Recording apparatus specially adapted therefor · CPC title

• A61B5/6803

  Head-worn items, e.g. helmets, masks, headphones or goggles · CPC title

• A61B5/7246

  using correlation, e.g. template matching or determination of similarity · CPC title

• A61B5/725

  using specific filters therefor, e.g. Kalman or adaptive filters (specific diagnostics methods using using bioelectric or biomagnetic signals A61B5/316) · CPC title