Table 1 Performance of QRS detection methods used for training and the hidden data of the PhysioNet challenge dataset
From: Robust detection of heartbeats using association models from blood pressure and EEG signals
QRS Detector | Se (%) | PPV (%) | Overall (%) | ||
|---|---|---|---|---|---|
Gross | Average | Gross | Average | ||
\(\texttt {sqrs}_{training}\) | 20.42 | 21.19 | 99.97 | 99.98 | 60.39 |
\(\texttt {wqrs}_{training}\) | 99.85 | 99.86 | 92.00 | 95.37 | 96.77 |
\(\texttt {gqrs}_{training}\) | 99.94 | 99.95 | 99.25 | 99.33 | 99.61 |
\(\texttt {sqrs}_{hidden}\) | 62.24 | 62.98 | 63.44 | 68.11 | 64.19 |
\(\texttt {wqrs}_{hidden}\) | 88.90 | 89.82 | 73.08 | 76.26 | 82.01 |
\(\texttt {gqrs}_{hidden}\) | 88.49 | 88.22 | 82.91 | 84.42 | 86.01 |