Epilepsy detection using EEG signals
In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the usef...
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| Format: | Conference or Workshop Item |
| Sprache: | English English |
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Universiti Malaysia Pahang
2018
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| Online Zugang: | http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf |
| _version_ | 1825812295642513408 |
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| author | Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid |
| author_facet | Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid |
| author_sort | Amer, Salam |
| collection | UMP |
| description | In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the useful information that can be used in early detection of some mental and brain diseases. Suitable analysis is essential for EEG to differentiate between normal and abnormal signals in order to detect epilepsy which is one of the most common neurological disorders. Epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from the brain cells, often in the cerebral cortex. This research focuses on the usefulness of EGG signal in detecting seizure activities in brainwaves. Feature extraction of EEG signals is core issue to carry out brain analysis. In this research, feature extraction has been performed using wavelet transform. These features have been applied to Neural Networks for EEG classification. |
| first_indexed | 2024-03-06T12:27:03Z |
| format | Conference or Workshop Item |
| id | UMPir22440 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:27:03Z |
| publishDate | 2018 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir224402018-12-13T02:27:50Z http://umpir.ump.edu.my/id/eprint/22440/ Epilepsy detection using EEG signals Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid QA76 Computer software In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the useful information that can be used in early detection of some mental and brain diseases. Suitable analysis is essential for EEG to differentiate between normal and abnormal signals in order to detect epilepsy which is one of the most common neurological disorders. Epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from the brain cells, often in the cerebral cortex. This research focuses on the usefulness of EGG signal in detecting seizure activities in brainwaves. Feature extraction of EEG signals is core issue to carry out brain analysis. In this research, feature extraction has been performed using wavelet transform. These features have been applied to Neural Networks for EEG classification. Universiti Malaysia Pahang 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf pdf en http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf Amer, Salam and M. Nomani, Kabir and Ahmed, Abdulghani Ali and Farhan, Khalid (2018) Epilepsy detection using EEG signals. In: International Conference on Intelligent Computing and Optimization (ICO2018) , 4 - 5 Oct 2018 , Pattaya, Thailand. pp. 1-18.. (Unpublished) (Unpublished) |
| spellingShingle | QA76 Computer software Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid Epilepsy detection using EEG signals |
| title | Epilepsy detection using EEG signals |
| title_full | Epilepsy detection using EEG signals |
| title_fullStr | Epilepsy detection using EEG signals |
| title_full_unstemmed | Epilepsy detection using EEG signals |
| title_short | Epilepsy detection using EEG signals |
| title_sort | epilepsy detection using eeg signals |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf |
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