THE AIM:

In this work we have to classify heartbeats using ECG signals

DATASET:

The MIT-BIH arrythimia dataset provided at

https://www.kaggle.com/datasets/shayanfazeli/heartbeat

Number of classes: 5

Class labels: N: Normal, S: Supraventricular prematre beat, V: Premature ventricular contraction,

F: Fusion of ventricular and normal beat, Q: Unclassifable beat

REQUIREMENTS

Explain each component in the design cycle of your pattern recognition system

Compare results using 3 different classifiers

Use the holdout method for evalution

Employ a proper feature selection method (if it needs not necessary)

Provide confussion matrix,accuracy,precission recall and F-score values.

Tools are matlab,python

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