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Can I read Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network on EtoBox?

Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network by Chen Liu; Haider Raza; Saugat Bhattacharyya is a medicine available to read on EtoBox.

What is Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network about?

<i>Advanced Methods in Biomedical Signal Processing and Analysis</i> presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking,

Who reads Deep learning methods for analysis of neural signals: From conventional neural network to graph neural network?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
Chen Liu; Haider Raza; Saugat Bhattacharyya
Publisher
Elsevier Science & Technology; Academic Press
Published
2023
Language
EN
ISBN
9780323859547
Category
medicine
Subjects
Engineering, Technology, Medical
Updated
2026-03-25

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