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

Description
Summary:	10.1142/S0129065721500167