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A Deep Learning Prediction Method for ECG Signals Using VMD, Cao Method, and LSTM Neural Network
Submitted: 01 February 2026 You are already at the latest version Accurate prediction of Electrocardiogram (ECG) signals is crucial for early diagnosis and continuous cardiac monitoring. To address the challenges posed by the non-stationary nature of ECG signals, this study introduces a novel deep learning prediction method that synergistically combines Variational Mode Decomposition (VMD), the Cao method, and a Long Short-Term Memory (LSTM) neural network.
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