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Low Back Pain Tracking Application

Author: Rohan Singh
Institution: Christian Medical College (CMC) Vellore
Guides: Dr. Sivakumar Balasubramanian, Dr. Lenny Vasantham
Timeline: April – June 2024


📌 Project Overview

This application was developed as part of my Clinical Project during the M.Tech Clinical Engineering program at CMC Vellore. The goal was to assist physiotherapists and clinicians in monitoring patient symptoms related to chronic low back pain.

The mobile app allows patients to self-report pain levels at different times of day, along with factors such as sleep quality, physical activity, and medication intake. The data is collected using a simple survey interface and stored securely for clinical review.


🎯 Objectives

  • To enable self-reporting of low back pain symptoms across time (morning, afternoon, evening).
  • To correlate symptom variation with influencing factors such as:
    • Sleep quality
    • Medication adherence
    • Physical activity
  • To deploy the app for clinical pilot testing.
  • To support clinicians with trend analysis and data visualization.

🛠️ Tools & Technologies

  • Kotlin — for native Android app development
  • Google AppScript — for backend data management
  • SQLite — for offline data storage
  • Google Sheets — for centralized survey data visualization

📦 Repository Contents

App-Project/
├── app/ # Main application source code
├── Google AppScript code/ # Backend scripts for data handling
├── .idea/ # IDE configuration files
├── build.gradle.kts # Gradle build script
├── settings.gradle.kts # Gradle settings
├── gradle.properties # Gradle properties
├── gradlew # Gradle wrapper
├── gradlew.bat # Gradle wrapper for Windows
└── README.md # Project documentation


For any queries or further information, feel free to reach out:


                                                    THIS IS AN ACADEMIC PROJECT

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