Classify epilepsy and normal Electroencephalogram (EEG) signal using wavelet transform and K-nearest neighbor

Dewi Rahmawati, N. R.Umy Chasanah, Riyanarto Sarno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Epilepsy is a neurological disorder that cannot be predicted and studied. This study propose to classify epilepsy and normal Electroencephalogram (EEG) signal. Stages in the decision-making was done by using a feature extraction and combined with Wavelet Transform (WT). The result from features extraction was implemented dimension reduction method by using Principal Component Analysis (PCA) algorithm. K-Nearest Neighbor (KNN) was implemented using result from dimension reduction stages as features. In this work, 1000 data has been used as training data and 600 data has been used as a data testing. In this experiment, the dataset consist of two sets (A and E) from non-epileptic people and epileptic people. This experimental results also show that the sensitivity, accuracy and specificity of the results are 100%, 99.83% and 99.67%.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsLala Septem Riza, Andri Pranolo, Aji Prasetyo Wibawa, Enjun Junaeti, Yaya Wihardi, Ummi Raba'ah Hashim, Shi-Jinn Horng, Rafal Drezewski, Heui Seok Lim, Goutam Chakraborty, Leonel Hernandez, Shah Nazir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Number of pages5
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 1 Jul 2017
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
Country/TerritoryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • Electroencephalogram
  • KNN
  • PCA
  • Wavelet transform

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