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.
13.10.2023
Authors: Seung-Eun Lee, Matthew Rudd, Tae-Hwa Kim, Ji-Yoon Oh, Ji-Hyang Lee, Lola Jover, Peter M Small, Kian Fan Chung, Woo-Jung Song
This study focused on evaluating the Hyfe Cough Tracker. This mobile app, equipped with cough-counting AI algorithms, was used to monitor cough frequency in patients with chronic cough over a minimum period of one week. The research involved 65 subjects, with 43 completing the study.
Key findings included a median monitoring duration of 13.9 days with high adherence, variations in cough frequency, and a correlation between objective and subjective cough measures.
The study concluded that continuous monitoring is essential due to the significant day-to-day variability in cough frequency, emphasizing its importance in clinical practice and trials. The majority of participants found the monitoring helpful and easy to use, indicating the potential utility of such technology in managing chronic cough conditions
