Mobile-Based Healthcare Monitoring System: Computer Engineering Guide
1. Introduction
Overview of the project.
Objectives of the system: Develop a mobile-based healthcare monitoring system to track vital signs, provide health alerts, and enable remote consultations.
Scope of the system: Suitable for individuals managing chronic conditions, remote patient monitoring, and fitness tracking.
2. Requirements Analysis
Functional Requirements:
· - Collect vital health parameters (e.g., heart rate, blood pressure, glucose levels).
· - Display real-time data on the mobile app.
· - Provide alerts for abnormal readings.
· - Enable data sharing with healthcare providers.
Non-Functional Requirements:
· - Ensure data privacy and security.
· - Maintain low power consumption for wearable devices.
· - Provide user-friendly interfaces.
3. System Design
Architecture:
· - IoT-enabled wearables for data collection and a mobile app for visualization.
· - Backend server for data storage and processing.
Data Flow Diagrams (DFDs):
· - Level 0: Overview of data collection, transmission, and display.
· - Level 1: Detailed processes for sensor data acquisition, cloud synchronization, and notifications.
Database Design:
· - Tables: User Profiles, Health Data, Alerts, and Consultations.
4. Technology Stack
Hardware:
· - Wearable devices: Smartwatches or fitness bands with sensors for vital signs.
· - Sensors: Heart rate monitors, accelerometers, glucose meters, and oximeters.
Software:
· - Mobile app development: Flutter, React Native, or native platforms (Android/iOS).
· - Backend: Python (Flask/Django) or Node.js for server logic.
· - Cloud services: Firebase, AWS, or Azure for storage and data processing.
5. Implementation
Data Collection:
· - Integrate sensors with wearables to gather health data.
· - Ensure accurate and consistent readings through calibration.
Mobile App Development:
· - Create a user-friendly interface for viewing health metrics.
· - Implement features for logging data and setting alerts.
Data Storage and Analysis:
· - Store health data securely on the cloud.
· - Analyze data for trends and generate insights (e.g., average heart rate).
Notifications and Alerts:
· - Notify users and healthcare providers of abnormal readings.
· - Provide actionable insights and recommendations.
6. Security
Encrypt sensitive health data during storage and transmission.
Implement authentication mechanisms for app access.
Ensure compliance with healthcare data regulations like HIPAA or GDPR.
7. Testing
Unit Testing: Validate individual components such as sensors, mobile app features, and notifications.
Integration Testing: Ensure smooth interaction between wearables, mobile apps, and the backend.
System Testing: Test the complete system under real-world scenarios.
Performance Testing: Assess response time, app reliability, and battery efficiency.
8. Deployment
Distribute wearables to users and ensure compatibility with the mobile app.
Host the backend on a scalable cloud platform.
Provide user guides and training for effective usage.
9. Maintenance and Updates
Monitor system logs and address issues promptly.
Update the mobile app and backend for improved features and bug fixes.
Regularly test sensors and wearables for accuracy.
10. Appendix
Glossary of terms.
References and additional resources.