RETRACTED: An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices

Table 1

Comparison of aggregate accuracy.

Aggregate accuracy comparison
Model	Training (%)	Validation (%)	Test (%)
Baseline—LSTM	66.8	66.3	65.6
Baseline—CNN	68.6	72.2	68.8
Stacked unidirectional—LSTM	80.5	78.1	79.2
Stacked bidirectional—LSTM	82.2	79.5	80.2
Stacked unidirectional—LSTM	80.4	79.4	79.3
Deep residual—CNN	84.7	75.3	74.7
Combined unidirectional LSTM—CNN	83.4	77.7	79.6
Combined bidirectional LSTM—CNN	93.2	74.8	76.8
Proposed RBFNN	99	84.4	98.5