This repository contains the CoughSync application. CoughSync is using the Spezi ecosystem and builds on top of the Stanford Spezi Template Application. It was built as part of the Stanford Biodesign Building for Digital Health course in collaboration with Regeneron Development Innovation.
Tip
Do you want to test the CoughSync application on your device? You can download it on TestFlight.
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Clinical Challenge: Chronic cough in diseases like COPD disrupts sleep and reduces quality of life. Patients struggle to remember symptoms, and validated instruments are imprecise, making clinical use of current cough measures impractical.
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Need for Objective Data: Subjective PROs (patient-reported outcomes) limit clinical accuracy. Objective digital biomarkers may more-reliably capture physiological data for both better clinical care, and better clinical trials
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Digital Biomarker Opportunity: Smartphones with microphones and on-device AI/ML can passively detect coughs, addressing recall issues and supporting patient-centered data collection.
CoughSync is designed with simplicity in mind. We want users to gain valuable insights into their cough patterns with minimal effort. Our goal is to provide meaningful data while keeping the experience seamless and non-intrusive.
To achieve this, CoughSync focuses on three core features:
CoughSync leverages a custom-built time series cough detection model to track bedtime coughing using machine learning. The detected cough events are securely stored in Firebase for seamless and persistent data access.
Beyond just numbers, CoughSync integrates medically inspired questionnaires to assess the impact of coughing on daily life. Users provide feedback during onboarding and then once a week, ensuring a holistic view of their condition. This data is securely stored in Firebase.
Users can visualize their cough trends through interactive daily, weekly, and monthly graphs. The app also allows easy data export, enabling users to share their insights with healthcare professionals.
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Detailed Report (Light) |
Detailed Report (Dark) |
Note
Do you want to learn more about the Stanford Spezi Template Application and how to use, extend, and modify this application? Check out the Stanford Spezi Template Application documentation
Contributions to this project are welcome. A full list of contributors can be found in CONTRIBUTORS.md. Please make sure to read the contribution guidelines and the contributor covenant code of conduct first.
This project is licensed under the MIT License. See Licenses for more information.
