Acoustic Cough Monitoring for the Management of Patients With Known Respiratory Disease

RecruitingOBSERVATIONAL
Enrollment

100

Participants

Timeline

Start Date

September 15, 2021

Primary Completion Date

April 15, 2022

Study Completion Date

September 15, 2026

Conditions
CoughCOPDGERDAsthmaTuberculosisNon-Tuberculous Mycobacterial PneumoniaCOVID-19 Pneumonia
Interventions
DEVICE

Hyfe Cough Tracker

"Hyfe Cough Tracker is a digital acoustic surveillance system that uses an artificial intelligence system to discriminate cough from non-cough sounds. Hyfe is an AI-enabled mobile app that records short snippets (\<0.5 seconds) of putative cough explosive sounds and then classifies them as cough or non-cough using a convolutional neural network (CNN) model. Briefly, the acoustic characteristics of recorded sounds are converted into an image file, which is then processed by an algorithm trained to identify graphical differences in images. This creates an adjustable prediction score, with values above it, resulting in a sound being classified as cough, and those below being classified as non-cough."

DEVICE

Hyfe Air

Hyfe Air is a wearable device with an incorporated wireless lapel microphone. The device´s recordings can be run through the same cough-detection algorithm used by Hyfe Cough Tracker, while its results are directly stored in a remote database and are not displayed to participants.

Trial Locations (1)

31008

RECRUITING

Clinica Universidad de Navarra, Pamplona

All Listed Sponsors
collaborator

Centre de Recherche du Centre Hospitalier de l'Université de Montréal

OTHER

collaborator

Hyfe Inc

OTHER

lead

Clinica Universidad de Navarra, Universidad de Navarra

OTHER