NORMAL OR ABNORMAL CLASSIFICATION USING ECG SIGNALS

NORMAL OR ABNORMAL CLASSIFICATION USING ECG SIGNALS

ABSTRACT-

1Cardiovascular disease is the leading cause of death globally. It accounts for 17.3 million deaths/year, and by 2030, this is expected to rise to 23.6 million. Electrocardiogram (ECG) signals are an important source of information to the Scardiologist for cardiovascular disease diagnosis. Analysis of electrocardiogram (ECG) signals is challenging due to the complexity of their signal morphology.However, analyzing or processing these signal records manually to discover heart diseases TO is time-consuming and sensitive to human errors.

ADVANTAGES

• CSP algorithm has been widely used for feature extraction method

• High specificity and accuracy

DISADVANTAGES:2

• LSTM fails to store information for a longer period of time.

• Accuracy is low.SD

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