Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

Abstract

Many Neurological disorders are very difficult to detect. One such Neurological disorder which we are going to discuss in this paper is Epilepsy. Epilepsy means sudden change in the behavior of a human being for a short period of time. This is caused due to seizures in the brain. Many researches are going onto detect epilepsy detection through analyzing EEG. One such method of epilepsy detection is proposed in this paper. This technique employs Discrete Wave Transform (DWT) method for pre-processing, Approximate Entropy (ApEn) to extract features and Artificial Neural Network (ANN) for classification. This paper presented a detailed survey of various methods that are being used for epilepsy detection and also proposes a wavelet based epilepsy detection method. Index Terms: Discrete Wavelet Transform, Approximate Entropy, Artificial Neural Network

Authors and Affiliations

Krishnaveni . , Prof. S R Salwe, Ranjana Raut

Keywords

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  • EP ID EP389791
  • DOI 10.9790/9622-0701033941.
  • Views 160
  • Downloads 0

How To Cite

Krishnaveni . , Prof. S R Salwe, Ranjana Raut (2017). Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis. International Journal of engineering Research and Applications, 7(1), 39-41. https://europub.co.uk/articles/-A-389791