15 citations · 16 across the 3 of their papers we have counts for
3 papers
eess.SP2022
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG
Wei Yan Peh, Yuanyuan Yao, Justin Dauwels
It is well known that electroencephalograms (EEGs) often contain artifacts due to muscle activity, eye blinks, and various other causes. Detecting such artifacts is an essential fi…
eess.SP2022★ 1 cited
Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG
Wei Yan Peh, Prasanth Thangavel, Yuanyuan Yao +3
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that…
eess.SP2020★ 15 cited
Multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features
Wei Yan Peh, John Thomas, Elham Bagheri +8
Pathological slowing in the electroencephalogram (EEG) is widely investigated for the diagnosis of neurological disorders. Currently, the gold standard for slowing detection is the…