EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.085
Abstract: Abstract Nowadays, among the Deep Learning works, there is a tendency to develop networks with millions of trainable parameters. However, this tendency has two main drawbacks: overfitting and resource consumption due to the low-quality features… read more here.
Keywords: network; scoring sleeping; eeg signal; signal processing ... See more keywords
A separable convolutional neural network-based fast recognition method for AR-P300
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.986928
Abstract: Augmented reality-based brain–computer interface (AR–BCI) has a low signal-to-noise ratio (SNR) and high real-time requirements. Classical machine learning algorithms that improve the recognition accuracy through multiple averaging significantly affect the information transfer rate (ITR) of… read more here.
Keywords: recognition; recognition method; separable convolutional; convolutional neural ... See more keywords
Fast and Accurate Algorithm for ECG Authentication Using Residual Depthwise Separable Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10093304
Abstract: The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable biometric authentication. Despite growing interest in ECG authentication, there are still two main problems that need to be tackled, i.e., the… read more here.
Keywords: depthwise separable; fast accurate; authentication; separable convolutional ... See more keywords