Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features

• Main Authors: Peh, Wei Yan, Thomas, John, Bagheri, Elham, Chaudhari, Rima, Karia, Sagar, Rathakrishnan, Rahul, Saini, Vinay, Shah, Nilesh, Srivastava, Rohit, Tan, Yee-Leng, Dauwels, Justin
• Other Authors: MEDICINE
• Format: Article
• Language: English
• Published: WORLD SCIENTIFIC PUBL CO PTE LTD 2021
• Subjects: Science & Technology; Technology; Computer Science, Artificial Intelligence; Computer Science; Electroencephalogram; EEG slowing; EEG classification; slowing detection; deep learning; CNN; multi-center study; QUANTITATIVE EEG; STROKE; WAVES
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/205889
• Institution: National University of Singapore

10.1142/S0129065721500167