Table 1.
Research Work | Method | Dataset | Results |
---|---|---|---|
Imran et al., 2022 [14] | Wearable ECG detection system | ECG data from wearable patient monitoring device and MIT-BIH arrhythmia database | Claimed good classification performance |
Chamatidis et al., 2017 [21] | Faster R-CNN | - | 99.21% accuracy in detecting ECG signals |
Isin et al., 2017 [22] | Multiscaled fusion of deep CNN | Single lead short ECG | 96.99% accuracy |
Naz et al., 2021 [34] | Deep learning techniques (AlexNet, Inception-v3, VGG-16) + transfer learning | - | Claimed good results |