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

10.1142/S0129065721500167

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Peh, Wei Yan, Thomas, John, Bagheri, Elham, Chaudhari, Rima, Karia, Sagar, Rathakrishnan, Rahul, Saini, Vinay, Shah, Nilesh, Srivastava, Rohit, Tan, Yee-Leng, Dauwels, Justin
مؤلفون آخرون: MEDICINE
التنسيق: مقال
اللغة:English
منشور في: WORLD SCIENTIFIC PUBL CO PTE LTD 2021
الموضوعات:
CNN
الوصول للمادة أونلاين:https://scholarbank.nus.edu.sg/handle/10635/205889
الوسوم: إضافة وسم
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المؤسسة: National University of Singapore
اللغة: English
id sg-nus-scholar.10635-205889
record_format dspace
spelling sg-nus-scholar.10635-2058892024-10-26T21:33:10Z Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features Peh, Wei Yan Thomas, John Bagheri, Elham Chaudhari, Rima Karia, Sagar Rathakrishnan, Rahul Saini, Vinay Shah, Nilesh Srivastava, Rohit Tan, Yee-Leng Dauwels, Justin MEDICINE Dr Rahul Rathakrishnan 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 10.1142/S0129065721500167 INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 31 06 2021-11-11T06:28:08Z 2021-11-11T06:28:08Z 2021-06-01 2021-11-10T01:35:39Z Article Peh, Wei Yan, Thomas, John, Bagheri, Elham, Chaudhari, Rima, Karia, Sagar, Rathakrishnan, Rahul, Saini, Vinay, Shah, Nilesh, Srivastava, Rohit, Tan, Yee-Leng, Dauwels, Justin (2021-06-01). Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 31 (06). ScholarBank@NUS Repository. https://doi.org/10.1142/S0129065721500167 01290657 17936462 https://scholarbank.nus.edu.sg/handle/10635/205889 en WORLD SCIENTIFIC PUBL CO PTE LTD Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic 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
spellingShingle 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
Peh, Wei Yan
Thomas, John
Bagheri, Elham
Chaudhari, Rima
Karia, Sagar
Rathakrishnan, Rahul
Saini, Vinay
Shah, Nilesh
Srivastava, Rohit
Tan, Yee-Leng
Dauwels, Justin
Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
description 10.1142/S0129065721500167
author2 MEDICINE
author_facet MEDICINE
Peh, Wei Yan
Thomas, John
Bagheri, Elham
Chaudhari, Rima
Karia, Sagar
Rathakrishnan, Rahul
Saini, Vinay
Shah, Nilesh
Srivastava, Rohit
Tan, Yee-Leng
Dauwels, Justin
format Article
author Peh, Wei Yan
Thomas, John
Bagheri, Elham
Chaudhari, Rima
Karia, Sagar
Rathakrishnan, Rahul
Saini, Vinay
Shah, Nilesh
Srivastava, Rohit
Tan, Yee-Leng
Dauwels, Justin
author_sort Peh, Wei Yan
title Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
title_short Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
title_full Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
title_fullStr Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
title_full_unstemmed Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
title_sort multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features
publisher WORLD SCIENTIFIC PUBL CO PTE LTD
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/205889
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