AI-enhanced ECG analysis for arrhythmia classification with edge device compatibility

Key Points

• Accurate arrhythmia classification was achieved, demonstrating the effectiveness of AI in ECG analysis.
• The AI model yielded a classification accuracy of 95% across various arrhythmia types, enhancing diagnostic capabilities.
• Advanced machine learning techniques were implemented to analyze ECG data collected from edge devices in real-time monitoring.
• This approach supports immediate clinical applications, although further validation in diverse settings is necessary.