Research Article
A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG
Table 5
Comparisons with previous studies on public dataset.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Trained on simulated dataset and tested on public dataset; SVM with 13 signal quality assessment indices (SQIs) classified ECG signals into five levels (clean, minor, moderate, severe, and extreme noise). +SVM with 13 SQIs was trained and tested on public dataset, for which only accuracy of five classifications was given. |