NEW FROM STRADOS LABS
Watch-Based Cough Monitoring
Seamlessly Monitor Cough in Every Day Life
Technology Overview
Strados Labs partners with best-in-class watch manufacturers to offer streamlined, unobtrusive cough monitoring for research and clinical teams, leveraging our validated machine learning algorithm* for automated cough detection.
- Easy to wear and deploy, built on the familiar watch form factor
- Capable of multi-day, continuous monitoring
- Automated cough detection* with optional quality review from specialist team
*Machine learning algorithm is not FDA cleared but may be used in clinical trials
How It Works
Watch
Watch passively collects coughs and physiological insights
Cough Detection
Coughs are detected via machine learning with optional human review
Patient Reports
Client receives detailed patient cough reports
Measures
A robust combination of parameters* alongside cough for greater insight into quality of life
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- Cough Frequency (24-hour)
- Cough Bouts
- Heart Rate (Resting & Advanced)
- Heart Rate Variability
- Respiratory Rate
- Activity Tracking
- Step Tracking
- Skin Temperature
- SpO2
- Sleep Stages
- Fall Detection
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*All measures listed are not FDA cleared but may be collected in clinical trials
Watch Applications
Rapid, Reliable Subject Screening
Exploratory Endpoints or Sub-Studies
Safety & Adverse Events Monitoring
Real-World Evidence Studies
Population Studies
Academic Studies
Interested in a Research Collaboration?
We’re seeking clinical and academic collaborators to explore how our technology can improve patient outcomes. Partners may be eligible for in-kind support.
Features
- 26-hour battery life (early testing)
- Lightweight, comfortable form factor
- Continuous captured audio
- Optical sensor and accelerometer data
- Water resistant
- Designed for multi-day wear
- Ability to integrate with multiple hardware providers
- Uses CoughCheck™ machine learning algorithm* with ad hoc human review
- Patient privacy-preserving
- End-to-end encryption
*Machine learning algorithm not FDA cleared
Publications
View our clinical validation, whitepapers and case studies
Cough Detection Performance of the CoughCheck Algorithm in Subjects with Subacute Cough
Poster Presentation, American Thoracic Society, 2025
Automated Cough Identification in Chronic Cough from Real-World Recordings by a Custom Machine Learning Algorithm
Poster Presentation, ERS Congress 2025
Objective Monitoring Detects More Patients with Cough Than Monitoring Tools Based on Patient Self-Reported Symptoms
Poster Presentation, American Cough Conference, 2023
Let’s Connect
Explore using the RESP® Biosensor in your study or practice