Neuro Fuzzy Framework for EEG Signal Classification to improve Supply Chain efficiency

Abstract

The Electroencephalogram (EEG), which is used in the diagnosis of brain related disease, which reflects the physiological processes of the human brain. Any human expert must take their time visually examining a large amount of EEG data, and there is a chance that their assessments will differ or be inconsistent across doctors. So, using deep learning techniques, a process of automated identification and diagnosis is started. The Neuro Fuzzy Framework (NFF) classifier is discovered to be the superior classifier when the results are studied and contrasted based on the different factors. This work might make the categorization process stronger in practise, advancing medical diagnosis. The diagnosed information can be further utilized by the supply chain management system for providing the medicines and other needed materials to the user on appropriate time. The enrichment of supply chain management system is analysed in this article.