Affiliation:
1. Department of Electronics & Communication Engineering, Faculty of Engineering, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore, Tamil Nadu, India
Abstract
Objective:
In everyday life, more and more people suffer from various diseases. To prefer
the best medicine for them, an exact diagnosis is to be done. For example, the Epilepsy patients
encounter many challenges because they must take precautionary measures to protect themselves
from injury during a sudden occurrence of seizures.
Materials and Methods:
The investigations of epilepsy can be made analysing Electroencephalogram
(EEG) motions to break down the conduct of the cerebrum amid seizures. To find the exact
seizure frame in EEG signal is difficult and the overall analysis results is tedious in terms of human
error.
Results:
Hence, there is a need for automatic detection, exact prediction, and classification of
EEG waves. Similarly, another potential utilization of EEG signal investigation is in the prediction
of epileptic seizures before they occur. This step relieves the patients of anxiety and empowers
their guardians.
Conclusion:
In this study, we first concentrated on seizure discovery and classification issue. Secondly,
some bits of knowledge on the complications involved in seizure-management are mentioned.
Finally, some suggestions are listed with seizure classifications.
Publisher
Bentham Science Publishers Ltd.
Subject
Pharmacology (medical),Endocrinology
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