US 12,004,851 B1
Methods for automatic cough detection and uses thereof
Iulian-Alexandru Circo, Vienna (AT); Joseph Russell Brew, Santa Coloma de Queralt (ES); Paul Simon Rieger, Vienna (AT); Peter McMichael Small, Seattle, WA (US); and Georgios Kafentzis, Heraklion Crete (GR)
Assigned to HYFE Inc., Wilmington, DE (US)
Filed by Iulian-Alexandru Circo, Vienna (AT); Joseph Russell Brew, Santa Coloma de Queralt (ES); Paul Simon Rieger, Vienna (AT); Peter McMichael Small, Seattle, WA (US); and Georgios Kafentzis, Heraklion Crete (GR)
Filed on Jan. 31, 2024, as Appl. No. 18/429,130.
Claims priority of provisional application 63/442,310, filed on Jan. 31, 2023.
Int. Cl. A61B 5/08 (2006.01); A61B 5/00 (2006.01)
CPC A61B 5/0823 (2013.01) [A61B 5/7267 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of automatically detecting cough events comprising the following steps:
a. continuously recording ambient sound,
b. upon detecting a change in ambient sound exceeding a predefined first threshold, identifying an onset of a possible cough event,
c. recording an audio snippet including the onset of a possible cough event and continuing for a predefined audio snippet duration exceeding 100 msec thereafter,
d. classifying the audio snippet recorded in step (c) as cough or non-cough based on analyzing acoustic energy distribution of the audio snippet in a frequency-time domain at a frequency above 100 Hz,
e. discarding all identified non-cough events,
f. repeating steps (b) through (e) if further possible cough events are identified after the audio snippet recorded in step (c), and
g. compiling a record of all cough events detected during the recording of ambient sound in step (a).