1 citations · 1 across the 3 of their papers we have counts for
3 papers
Synthesizing Epileptic Seizures: Gaussian Processes for EEG Generation
Nina Moutonnet, Joshua Corneck, Felipe Tobar +1
Reliable seizure detection from electroencephalography (EEG) time series is a high-priority clinical goal, yet the acquisition cost and scarcity of labeled EEG data limit the perfo…
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
Nina Moutonnet, Gregory Scott, Danilo P. Mandic
The performance of deep learning methods critically depends on the quality and quantity of the available training data. This is especially the case for physiological time series, w…
A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring
Amir Nassibi, Christos Papavassiliou, Ildar Rakhmatulin +2
Depression disorder is a serious health condition that has affected the lives of millions of people around the world. Diagnosis of depression is a challenging practice that relies…