Artificial neural network for the analysis of electroencephalogram

K. Prabhakar Nayak, T. K. Padmashree, S. N. Rao, Niranjan U. Cholayya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Electroencephalography is an important tool for diagnosing, monitoring and managing neurological disorders related to epilepsy. The presence of epileptiform activity in the electroencephalogram (EEG) confirms the diagnosis of epilepsy. During the seizures, the scalp of patients with epilepsy is characterized by high amplitude synchronized periodic EEG waveforms, reflecting abnormal discharge of a large group of neurons. Between the seizures, the electroencephalogram (EEG) of the patients who suffer from epilepsy is normally characterized by occasional spikes or spike and wave complexes (inter-ictal activity). It is difficult to detect these and sometimes is missed by the clinicians who observe the paper records. The purpose of the work describes the automated detection of epileptic events based on wavelet analysis of electroencephalogram. Three layered feedforward back-propagation artificial neural network (ANN) is designed to classify the epileptic seizure and non-epileptic seizure.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006
Pages170-713
Number of pages544
DOIs
Publication statusPublished - 01-12-2006
Externally publishedYes
Event4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006 - Bangalore, India
Duration: 15-12-200618-12-2006

Conference

Conference4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006
CountryIndia
CityBangalore
Period15-12-0618-12-06

Fingerprint

Electroencephalography
Neural networks
Wavelet analysis
Backpropagation
Neurons
Electroencephalogram
Epilepsy
Artificial neural network
Monitoring

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

Cite this

Prabhakar Nayak, K., Padmashree, T. K., Rao, S. N., & Cholayya, N. U. (2006). Artificial neural network for the analysis of electroencephalogram. In Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006 (pp. 170-713). [4286089] https://doi.org/10.1109/ICISIP.2006.4286089
Prabhakar Nayak, K. ; Padmashree, T. K. ; Rao, S. N. ; Cholayya, Niranjan U. / Artificial neural network for the analysis of electroencephalogram. Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006. 2006. pp. 170-713
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Prabhakar Nayak, K, Padmashree, TK, Rao, SN & Cholayya, NU 2006, Artificial neural network for the analysis of electroencephalogram. in Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006., 4286089, pp. 170-713, 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006, Bangalore, India, 15-12-06. https://doi.org/10.1109/ICISIP.2006.4286089

Artificial neural network for the analysis of electroencephalogram. / Prabhakar Nayak, K.; Padmashree, T. K.; Rao, S. N.; Cholayya, Niranjan U.

Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006. 2006. p. 170-713 4286089.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Prabhakar Nayak K, Padmashree TK, Rao SN, Cholayya NU. Artificial neural network for the analysis of electroencephalogram. In Proceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006. 2006. p. 170-713. 4286089 https://doi.org/10.1109/ICISIP.2006.4286089