Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases.
Background and Purpose: Electroencephalogram (EEG) signals play a vital role in analyzing neurological activity and diagnosing various neurological disorders. With the rapid growth of the Internet of medical things (IoMT), EEG‐based diagnostic systems have become more interconnected and scalable. Ho...
| Publicado en: | Physiotherapy Research International Vol. 31; no. 2; pp. 1 - 10 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |