Article ; Online: MindReader
2023 Volume 23, Issue 6
Abstract: Electroencephalogram (EEG) interpretation plays a critical role in the clinical assessment of neurological conditions, most notably epilepsy. However, EEG recordings are typically analyzed manually by highly specialized and heavily trained personnel. ... ...
Abstract | Electroencephalogram (EEG) interpretation plays a critical role in the clinical assessment of neurological conditions, most notably epilepsy. However, EEG recordings are typically analyzed manually by highly specialized and heavily trained personnel. Moreover, the low rate of capturing abnormal events during the procedure makes interpretation time-consuming, resource-hungry, and overall an expensive process. Automatic detection offers the potential to improve the quality of patient care by shortening the time to diagnosis, managing big data and optimizing the allocation of human resources towards precision medicine. Here, we present |
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MeSH term(s) | Humans ; Electroencephalography/methods ; Epilepsy/diagnosis ; Neural Networks, Computer ; Fourier Analysis ; Unsupervised Machine Learning |
Language | English |
Publishing date | 2023-03-09 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2052857-7 |
ISSN | 1424-8220 ; 1424-8220 |
ISSN (online) | 1424-8220 |
ISSN | 1424-8220 |
DOI | 10.3390/s23062971 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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