Mohd Rashidi Che Beson
Thumbnail Image
Preferred name
Mohd Rashidi Che Beson
Official Name
Mohd Rashidi , Che Beson
Alternative Name
Rashidi, C. B.M.
Beson, Mohd Rashidi Che
Che Beson, Mohd Rashidi
Rashidi, Che Beson Mohd
M. Rashidi, C. B.
Main Affiliation
Scopus Author ID
36549138700
Researcher ID
AAQ-2496-2020

Research Output

Filters

1
Show more
1
Reset filters

Settings
Now showing 1 - 1 of 1
  • Publication
    R-Peaks and Wavelet-Based Feature Extraction on K-Nearest Neighbor for ECG Arrhythmia Classification
    ( 2024-01-01)
    Khairuddin A.M.
    ;
    Ku Nurul Fazira Ku Azir
    ;
    Mohd Rashidi Che Beson
    The aim of this research is to classify 17 types of arrhythmias by applying the algorithm developed from combining the morphological and the wavelet-based statistical features. The proposed arrhythmia classification algorithm consists of four stages: pre-processing, detection of R-peaks, feature extraction, and classification. Seven morphological features (MF) that were retrieved from the R-peak locations. Following this, another nine wavelet-based statistical features (SF) were gathered by decomposing wavelets in level 4 from the Daubechies 1 wavelet (Db1). These 16 features are then applied to the k-nearest neighbor (k-NN) algorithm. The accuracy (ACC) of the suggested classification algorithm was assessed by using the MIT-BIH arrhythmia benchmark database (MIT-BIHADB). The experimental results of this work attained an average accuracy (ACC) of 99.00%.