Research Article

Arrhythmia Classification of ECG Signals Using Hybrid Features

Table 4

Comparison of the proposed scheme with state-of-the-art methods using class-oriented scheme.

FeaturesDimensionClassesAccuracySensitivitySpecificityPPV

ProposedDWT + RR + TEO171899.7598.799.999.8
Zidelmal et al. [8]Frequency content + RR + QRS13297.299
Ye et al. [11]WT + ICA + RR181699.391.3
Ebrahimzadeh et al. [4]HOS + timing interval24595.1895.6198.890.6
Pathoumvanh et al. [24]DCT5599.1197.0199.44
Rabee and Barhumi [26]Multi resolution WT2511499.296.2100
Alajlan et al. [27]HOS of 2nd-order-cumulant604294.9692.1995.19
de Oliveira et al. [14]Waveform + RR2959599.8798
Li et al. [19]Timing interval + waveform amplitude298.293.181.4