Portfolio/ECG Signal Analysis
Machine LearningMachine Learning

ECG Signal Analysis

A Streamlit application for analyzing ECG signals and detecting heart conditions using machine learning. Features signal processing, pattern recognition, and visualization tools for cardiac health monitoring.

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Project Duration

Nov 2024 — Nov 2024

Client

Healthcare ClientNDA

Key Features

ECG analysis
Pattern detection
Signal processing
Visualization
Report generation
Real-time monitoring

Technology Stack

PythonStreamlitSignal ProcessingMachine LearningHealthcareVisualization

Project Metrics

94%
accuracy
10+
conditions
Real-time
processing

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