Automatic classification of normal and sick patients with crackles using wavelet packet decomposition and support vector machine.
Pawel StasiakiewiczAndrzej P. DobrowolskiTomasz TargowskiNatalia Galazka-SwiderekTeresa Sadura-SiekluckaKatarzyna MajkaAgnieszka SkoczylasWojciech LejkowskiRobert OlszewskiPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- automatic classification
- wavelet packet decomposition
- support vector machine
- image recognition
- normal subjects
- wavelet packet
- frequency band
- wavelet transformation
- automatic detection
- subband
- temporal lobe epilepsy
- svm classifier
- web page classification
- support vector
- training data
- feature vectors
- image classification
- k nearest neighbor
- feature selection
- multiresolution
- face recognition
- automatically classify
- wavelet transform
- filter bank
- artificial neural networks
- learning algorithm
- machine learning