Patient Monitor

Overview

This repository hosts a WPF-based application developed as part of the "Softwaretechnik" module. The "Patient Monitor" application is designed to provide real-time monitoring of patient data, including advanced features such as Fourier transformation, database integration, and medical image visualization. Built using C# and the .NET framework, it aims to offer a comprehensive solution for healthcare data management and analysis.

The modular architecture ensures flexibility and scalability, making the project ideal for exploring medical data processing concepts and practical applications.

Key Objectives

• Real-time visualization of patient data in dynamic charts.
• Implementation of Fourier transformation for signal analysis.
• Integration with a database for storing and retrieving patient information.
• Visualization of medical imaging data, such as MRI scans.

Core Features

1. Real-Time Patient Data Monitoring

   • Dynamic charts display live patient data.
   • Easy-to-use interface for continuous monitoring.

2. Fourier Transformation

   • Perform Fourier analysis on patient signals to identify patterns and anomalies.

3. Database Integration

   • Store and manage patient records securely.
   • Retrieve data efficiently for analysis and reporting.

4. Medical Image Viewer

   • Load and display medical images, such as MRI scans.
   • Support for zooming, panning, and basic image manipulation.

5. Extensibility

   • Modular design allows for easy integration of additional features or modules.

Technologies Used

• Programming Language: C#
• Framework: .NET Framework (WPF)
• Development Environment: Visual Studio 2019
• Version Control: Git & GitHub

Getting Started

Prerequisites

• Visual Studio 2019 or later
• .NET Framework installed on your machine

Installation

1. Clone the repository using the following command:

   git clone https://github.com/yourusername/Patient-Monitor.git

2. Open the solution file (.sln) in Visual Studio.

3. Build the solution and run the application.

Usage

Real-Time Monitoring

Visualize live patient data in dynamic charts. The system is designed for continuous monitoring with customizable parameters.

Fourier Transformation

Analyze patient signals using Fourier transformation to detect patterns and identify potential issues.

Patient Records

Store and retrieve patient information through the integrated database system. Manage data securely and efficiently.

Medical Imaging

Load, view, and manipulate medical images for detailed analysis.

Future Enhancements

• Adding support for advanced analytics and machine learning models.
• Enhancing the medical image viewer with more tools and features.
• Introducing role-based access control for better security.
• Supporting integration with IoT medical devices for data acquisition.