53
Research Trials
20
Peer-reviewed publications
16
Clinical Conditions
This narrative review by Hyfe's R&D team makes the case that continuous cough monitoring (CCM), powered by acoustic AI, transforms cough from a subjective symptom into a quantifiable digital biomarker.
This ERS 2025 abstract from Hyfe's R&D team validates the wear-detection algorithm built into the Hyfe CoughMonitor smartwatch against participant-reported wear status across 418 person-hours of data in ten participants.
Authored by Hyfe's R&D team, this review synthesizes work presented at the European Respiratory Society Congress 2025 and argues that objective cough monitoring has crossed a practical threshold, moving from experimental technique to deployable clinical endpoint.
This study asked whether the core components of BCST could be embedded in a digital therapeutic and paired with continuous, objective cough monitoring inside the CoughPro app.
The Hyfe “CoughMonitor” is a wrist-worn device thatcaptures sound through its microphone and processesthat sound on device to detect and quantify coughingover time; the device ingests continuous audio andoutputs the timestamps of all of the coughs that itdetects. To assess the CoughMonitor’s accuracy, onemust compare its output (when the device reportsthat coughing occurred) with objective ground truth(when trained human annotators report that coughingoccurred).
A perfectly accurate device would detectevery human annotated cough as such and would notidentify anything else as a cough.This paper describes a small pilot study aimed atquantifying the accuracy of an earlier version of theHyfe CoughMonitor and, in so doing, demonstrates theanalytical approach and data presentation that will beemployed in the subsequent FDA enabling study.
