Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features
10.1142/S0129065721500167
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WORLD SCIENTIFIC PUBL CO PTE LTD
2021
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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 |
| _version_ |
1821185880257200128 |