Research Article

Feature Selection for Interpatient Supervised Heart Beat Classification

Table 4

Classification performances of the two feature selection methods compared to previously reported feature choices.

Model Feature selection Features BCR 𝑁 𝑆 𝑉 𝐹

wLDA [4] 50 73.83% 88.63% 44.66% 80.58% 81.44%
wLDA Wrapper wLDA 2 73.00% 81.88% 70.53% 70.77% 68.81%
wSVM Ranking MI 6 82.99% 75.88% 82.63% 85.06% 88.40%
wSVM [1] 36 71.55% 77.54% 42.86% 79.19% 86.60%