Search Articles

View query in Help articles search
e.g. mhealth

Search Results (1 to 1 of 1 Results)

Download search results: CSV END BibTex RIS

Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study

Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study

A total of 7 classical time series deep neural networks as follows were pre-evaluated on a portion of PSD and raw EEG data of the training data set (n=100, randomly selected participants from the training data set): Fully Convolutional Neural Network (FCN), Residual Network (t-Res Net), Encoder, Multi-Scale Convolutional Neural Network, Time Le-Net (t-Le NET), Multi-Channel Deep Convolutional Neural Network, and Time Convolutional Neural Network.

Shahab Haghayegh, Kun Hu, Katie Stone, Susan Redline, Eva Schernhammer

J Med Internet Res 2023;25:e40211

Download Citation: END BibTex RIS

Download PDF Download XML
Article has an altmetric score of 1