… , discrete wavelet transform (DWT) coupled with novel 1-dimensional hexadecimal local
pattern (1D-HLP) technique are employed for automated detection of arrhythmia detection. The …

… wavelet transform, which is specifically designed to detect R-… Finally, the discrete wavelet
transform is applied to obtain the … Jacquir, “Automatic detection of P, QRS and T patterns in 12 …

… In the paper, we propose an automatic ECG classification method based on Continuous
Wavelet Transform (CWT) and Convolutional Neural Network (CNN). CWT is used to …

… Moreover, Wavelet Transform (WT) algorithms are successful tools for extracting robust
features because of their suitability for capturing transient events such as spikes and sharp …

… Accordingly, automatic diagnosis of epileptic seizures in patients … the automatic detection
of epileptic seizures has been a major breakthrough over the past two decades. The automatic …

… ICA) and wavelet transform combination … wavelet ICA (WICA) using fuzzy kernel support
vector machine (FKSVM) is proposed for removing and classifying the EEG artifacts automatically…

… that the proposed DWAE model can facilitate the automatic detection of brain tumors. …
wavelet transforms such as discrete wavelet transform (DWT) and stationary wavelet transforms (…

… Among DL techniques, autoencoders (AE) are similarly of the most potential tools for automatic
feature extraction of mechanical signals. They have been adopted in many fault detection …

… To mitigate the abovementioned limitations, we propose in this work a deep-learning
framework based on the fast discrete wavelet transform (FDWT) that allows an automatic and easy …

… have been performed to automatically detect AF from ECG data. … multiscale features of
wavelet transform (WT) to detect ECG … log-energy entropy of continuous wavelet transform (CWT) …