HeartBeat Classification using ECG #280
Merged
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This project focuses on developing a system for classifying heartbeats using Electrocardiogram (ECG) data. ECG is a widely used diagnostic tool that records the electrical activity of the heart over a period of time. Accurate classification of heartbeats is crucial for diagnosing various cardiac conditions, such as arrhythmias, myocardial infarctions, and other heart diseases.
Performance Metrics: Present the performance metrics of the developed model, highlighting its accuracy, precision, recall, and F1-score.
Comparison with Existing Methods: Compare the results with existing heartbeat classification methods to demonstrate the improvements achieved.
Fixes #273 Issue