Science Score: 75.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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✓Institutional organization owner
Organization cs342 has institutional domain (cs342.stanford.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary
Repository
CS342 2025 CoughSync
Basic Info
- Host: GitHub
- Owner: CS342
- License: mit
- Language: Swift
- Default Branch: main
- Size: 18.6 MB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 3
- Releases: 2
Metadata Files
README.md
CoughSync
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.
Background
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.
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
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 Features
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:
Cough Detection
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.
Quality of Life Feedback
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.
Cough Report
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.
Summary (Light) |
Summary (Dark) |
Check In (Light) |
Check In (Dark) |
Report (Light) |
Report (Dark) |
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
Contributing
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.
License
This project is licensed under the MIT License. See Licenses for more information.

Owner
- Name: Stanford CS342 - Building for Digital Health
- Login: CS342
- Kind: organization
- Location: United States of America
- Website: https://cs342.stanford.edu
- Repositories: 12
- Profile: https://github.com/CS342
Stanford CS 342 / MED 253
Citation (CITATION.cff)
# # This source file is part of the CoughSync based on the Stanford Spezi Template Application project # # SPDX-FileCopyrightText: 2025 Stanford University # # SPDX-License-Identifier: MIT # cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Fuentes" given-names: "Miguel" - family-names: "Bell" given-names: "Ethan Michael" - family-names: "Lew" given-names: "Jennifer" - family-names: "Jain" given-names: "Aayush" - family-names: "Rao" given-names: "Adrit" orcid: "https://orcid.org/0000-0002-0780-033X" - family-names: "Schmiedmayer" given-names: "Paul" orcid: "https://orcid.org/0000-0002-8607-9148" - family-names: "Ravi" given-names: "Vishnu" orcid: "https://orcid.org/0000-0003-0359-1275" - family-names: "Aalami" given-names: "Oliver" orcid: "https://orcid.org/0000-0002-7799-2429" - family-names: "Wei" given-names: "Henry" orcid: "https://orcid.org/0000-0002-5887-8348" title: "CoughSync"
GitHub Events
Total
- Create event: 46
- Issues event: 31
- Release event: 2
- Watch event: 3
- Delete event: 38
- Member event: 1
- Issue comment event: 46
- Push event: 163
- Pull request review comment event: 13
- Pull request review event: 70
- Pull request event: 85
Last Year
- Create event: 46
- Issues event: 31
- Release event: 2
- Watch event: 3
- Delete event: 38
- Member event: 1
- Issue comment event: 46
- Push event: 163
- Pull request review comment event: 13
- Pull request review event: 70
- Pull request event: 85
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 15
- Total pull requests: 45
- Average time to close issues: 10 days
- Average time to close pull requests: 1 day
- Total issue authors: 1
- Total pull request authors: 6
- Average comments per issue: 0.0
- Average comments per pull request: 0.78
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 15
- Pull requests: 45
- Average time to close issues: 10 days
- Average time to close pull requests: 1 day
- Issue authors: 1
- Pull request authors: 6
- Average comments per issue: 0.0
- Average comments per pull request: 0.78
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- MiguelAFH (15)
Pull Request Authors
- MiguelAFH (20)
- EthanRakutoBell (12)
- jennleww (5)
- aajain2 (4)
- PSchmiedmayer (2)
- vishnuravi (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- github.com/FelixHerrmann/swift-package-list 4.4.0
- github.com/JohnSundell/CollectionConcurrencyKit 0.2.0
- github.com/StanfordBDHG/HealthKitOnFHIR 0.2.11
- github.com/StanfordBDHG/ResearchKit 3.0.3
- github.com/StanfordBDHG/ResearchKitOnFHIR 2.0.2
- github.com/StanfordBDHG/XCTHealthKit 0.3.5
- github.com/StanfordBDHG/XCTRuntimeAssertions 1.1.3
- github.com/StanfordBDHG/XCTestExtensions 1.1.0
- github.com/StanfordSpezi/Spezi 1.8.0
- github.com/StanfordSpezi/SpeziAccount 2.1.2
- github.com/StanfordSpezi/SpeziContact 1.0.2
- github.com/StanfordSpezi/SpeziFirebase 2.0.0
- github.com/StanfordSpezi/SpeziFoundation 2.0.0
- github.com/StanfordSpezi/SpeziHealthKit 0.6.0
- github.com/StanfordSpezi/SpeziLicense 0.1.1
- github.com/StanfordSpezi/SpeziNotifications 1.0.2
- github.com/StanfordSpezi/SpeziOnboarding 1.2.2
- github.com/StanfordSpezi/SpeziQuestionnaire 1.2.3
- github.com/StanfordSpezi/SpeziScheduler 1.1.0
- github.com/StanfordSpezi/SpeziStorage 1.2.1
- github.com/StanfordSpezi/SpeziViews 1.8.0
- github.com/antlr/antlr4 4.13.2
- github.com/apple/FHIRModels 0.5.0
- github.com/apple/swift-algorithms 1.2.0
- github.com/apple/swift-argument-parser 1.5.0
- github.com/apple/swift-atomics 1.2.0
- github.com/apple/swift-collections 1.1.4
- github.com/apple/swift-numerics 1.0.2
- github.com/apple/swift-protobuf 1.28.2
- github.com/drmohundro/SWXMLHash 7.0.2
- github.com/firebase/firebase-ios-sdk 11.3.0
- github.com/firebase/leveldb 1.22.5
- github.com/firebase/nanopb 2.30910.0
- github.com/google/GoogleAppMeasurement 11.3.0
- github.com/google/GoogleDataTransport 10.1.0
- github.com/google/GoogleUtilities 8.0.2
- github.com/google/abseil-cpp-binary 1.2024011602.0
- github.com/google/app-check 11.1.0
- github.com/google/grpc-binary 1.65.1
- github.com/google/gtm-session-fetcher 3.5.0
- github.com/google/interop-ios-for-google-sdks 100.0.0
- github.com/google/promises 2.4.0
- github.com/jpsim/SourceKitten 0.35.0
- github.com/jpsim/Yams 5.1.3
- github.com/krzyzanowskim/CryptoSwift 1.8.3
- github.com/realm/SwiftLint 0.57.1
- github.com/scottrhoyt/SwiftyTextTable 0.9.0
- github.com/swiftlang/swift-syntax 600.0.0