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

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

10.1142/S0129065721500167

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Bibliographic Details
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
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Institution: National University of Singapore
Language: English

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https://scholarbank.nus.edu.sg/handle/10635/205889

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