Research Article

Assessment of Electrocardiogram Rhythms by GoogLeNet Deep Neural Network Architecture

Table 4

Accuracy of arrhythmia classification by the expanded kernel model with increasing number of filters.

Number of filtersECG segments (%)Mean accuracy (%)
34567

195.194.492.792.494.193.7
395.695.195.693.894.594.9
596.495.595.194.894.495.2
79695.895.694.794.495.3
996.296.195.994.895.395.7
1196.195.79695.694.895.7
1396.596.195.595.495.195.7
1596.496.396.195.594.795.8
1796.796.196.395.695.696.0
1996.59696.295.695.195.9
Mean accuracy (%)96.295.795.594.894.8ā€‰