Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

Keywords: Signal processing, Drowsiness detection, Wavelet transform, Best m-term approximation, Frequency bands, DB2

For this, Wavelet Transform is applied as a method to extract relevant features of signal and KNN is used as a classification technique.. The results showed that

Signal processing methods based on the combined use of the continuous wavelet transform (CWT) and zero-crossing technique were applied to the simultaneous

In this paper we are using sparse representation app roach based on discrete wavelet transform (DWT) to achieve more robustness to variation in light ing, directions

The Discrete Wavelet transform (DWT) is invoked to extract efficient features of each isolated character which results from the segmentation stage. To the best of our

the structure with globular precipitates of the primary phase, by metal stream overflow on a slope cooling plate (SCP method), particularly in hypoeutectic carbon iron with

The blending process was done using Discrete Wavelet Transform (DWT). Antony and Surendran [13] implemented a stitching technique to create panoramas of satellite images

In this paper, a scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the