Shehab-Hegab / Signal-Viewer-main

Signal Viewer Application

Overview

The Signal Viewer is a desktop application designed to visualize biological signals. Utilizing PyQt5 for its GUI and incorporating functionalities such as playback and real-time updates, it serves as a versatile tool for researchers and professionals working with biological signals like ECG.

Features

• Signal Visualization: View biological signals effectively in a clean and user-friendly interface.
• File Import: Import signal data from .dat, .csv files.
• Playback Controls: Play and pause the visualization to understand signal variations and anomalies over time.
• Hide/Show: Ability to toggle the visibility of the signals for comparative studies.
• Screenshot: Snapshot feature to capture and save the visualized signals as images.
• Color Toggling: Customize the color of the signal for clear visibility and understanding.

Getting Started

Prerequisites

• Python 3.x
• wfdb
• numpy
• pandas
• PyQt5
• pyqtgraph
• reportlab
• pyqt5-tools

Installation

1. Clone the Repository

   git clone [https://github.com/fadymohsen/SignalViewer]
   cd [SignalViewer]

2. Install Dependencies & Requirements

   pip install -r requirements.txt #All Libraries & Packages

3. Run the Application

   python main.py

How to Use

1. Load Signal:

   • Click on Browse and choose your signal file (.dat or .csv format).
   • View the signal in the respective channel panel.

2. Playback:

   • Use the Play/Pause button to start or stop the signal visualization playback.

3. Hide/Show Signal:

   • Use the Hide button to toggle the visibility of the signals in each channel.

4. Screenshot:

   • Use the Screenshot button to save a snapshot of the current view of the signal.

5. Change Signal Color:

   • Utilize the color buttons (e.g., Red, Green, Blue) to toggle the color of the visualized signals.

6. Close:

   • Click the Close button to end the signal visualization in a particular channel.

7. Export:

   • functionality to save the visualized data in various formats.

8. Zoom:

   • Zoom in or out in the signal view.

Development

Structure

• Signal Viewer: The primary GUI application class responsible for handling user inputs and managing UI updates.
• Signal: A class dedicated to managing and manipulating signal data, rendering, and controlling playback.

Libraries

• PyQt5: Handles GUI creation, management, and user interaction.
• pyqtgraph: Enables real-time signal graphing.
• wfdb: Used for loading, writing, and processing WFDB signals and annotations.
• NumPy and pandas: Manage numerical operations and data management.

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Team Members:

1- Fady Mohsen
2- Ahmad Mahmoud
3- Shehab Mohamad
4- Mohamad Aziz