Dynamic Q value wavelet transform for IF estimation and seizure detection via QT plane-CNN framework

Dynamic Q value wavelet transform for IF estimation and seizure detection via QT plane-CNN framework

Abstract The instantaneous frequency (IF) is the underlying feature for analyzing the non-stationary signals. Separating the mono components present in a non-stationary multi-component signal is a crucial step for estimating their IF. In this paper, we suggest a new decomposition method to separate...

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Bibliographic Details
Main Authors: Amaya Rose Abraham, Anurag Nishad, Mihir Jaipuria, Abhay Upadhyay, Sudeep Baudha
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Dynamic Q value wavelet transform
Non-stationary signals
Instantaneous frequency
Electroencephalogram signals
Convolutional neural network
Online Access:https://doi.org/10.1186/s13634-025-01229-4
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https://doi.org/10.1186/s13634-025-01229-4

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