An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis

Research article (Analog Integrated Circuits and Signal Processing, 2021) · cited 72× · AI/ML
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An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis

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An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-automated-classification-of-eeg-signals-based-on-spectrogram-and-cnn-for-epilepsy-diagnosis
MLA “An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-automated-classification-of-eeg-signals-based-on-spectrogram-and-cnn-for-epilepsy-diagnosis.
BibTeX @misc{4ortxyz_an-automated-classification-of-eeg-signals-based-on-spectrogram-and-cnn-for-epilepsy-diagnosis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An automated classification of EEG signals based on spectrogram and CNN for epilepsy diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/an-automated-classification-of-eeg-signals-based-on-spectrogram-and-cnn-for-epilepsy-diagnosis}, note = {Accessed: 2026-05-24}}
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