In this work, we present a &-means classifier using Hjorth parameters extracted from the central electroencephalogram (EEG) signals to accurately detect ...
In this work, we present a k-means classifier using Hjorth parameters extracted from the central electroencephalogram (EEG) signals to accurately detect ...
A novel convolutional neural network (CNN)-based technique for insomnia detection using single-channel electroencephalogram (EEG) signals instead of complex ...
In this work, we present a &-means classifier using Hjorth parameters extracted from the central electroencephalogram (EEG) signals to accurately detect ...
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What are the Hjorth parameters of activity?
Jul 19, 2021 · We have proposed a novel method to identify insomnia automatically using single-channel EEG signals of sleep stages of 30 s epochs.
Penzel, A novel insomnia identification method based on Hjorth parameters, 15th IEEE International Symposium on Signal Processing and Information, 2015,.
According to Penzel, epochs of all sleep stages can detect insomnia with the help of deep learning classifiers using Hjorth parameters (Hamida et al., 2015a, ...
A novel insomnia identification method based on Hjorth parameters. STB Hamida, B Ahmed, T Penzel. 2015 IEEE International Symposium on Signal Processing and ...
A novel optimal triplet half-band filter bank (THFB) is used to obtain the subbands of EEG signals. We have extracted Hjorth parameters from subbands of EEG ...
Nov 7, 2018 · Hjorth parameters were previously shown to be useful for recognition of emotional state: happy, sad, neutral and afraid [11], though using ...