TY - GEN
T1 - EEG Signal-based Epileptic Seizure Detection
AU - Gokul, M.
AU - Jagasri, L.
AU - Sindhuja, M.
AU - Barkavi, R.
AU - Murugesan, Pradeep
AU - Arun Prasath, T.
N1 - Publisher Copyright:
© 2022 IEEE
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Epilepsy is a neurological condition marked by abnormal brain activity, which includes seizures. EEG data, which are recordings of brain activity, are frequently employed in a wide range of medical applications, including the identification of epileptic seizures. Neurologists used to draw conclusions by visual assessment. The findings, however, depended on the reader's level of skill and were frequently quite time-consuming. Thus, automatic epileptic seizure detection methods that can deliver accurate outcomes quickly are needed. Hence, this paper differentiates the normal and epileptic EEG waveforms with frequency estimation technique. Consequently, the frequency information of the non-epileptic and epileptic EEG is discovered, and the waveforms between them are easily distinguished.
AB - Epilepsy is a neurological condition marked by abnormal brain activity, which includes seizures. EEG data, which are recordings of brain activity, are frequently employed in a wide range of medical applications, including the identification of epileptic seizures. Neurologists used to draw conclusions by visual assessment. The findings, however, depended on the reader's level of skill and were frequently quite time-consuming. Thus, automatic epileptic seizure detection methods that can deliver accurate outcomes quickly are needed. Hence, this paper differentiates the normal and epileptic EEG waveforms with frequency estimation technique. Consequently, the frequency information of the non-epileptic and epileptic EEG is discovered, and the waveforms between them are easily distinguished.
KW - Electroencephalogram (EEG)
KW - Electroencephalogram signal database
KW - epileptic seizures
KW - time-frequency domain
UR - https://www.scopus.com/pages/publications/85148321076
U2 - 10.1109/ICACRS55517.2022.10029316
DO - 10.1109/ICACRS55517.2022.10029316
M3 - Conference contribution
AN - SCOPUS:85148321076
T3 - International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings
SP - 223
EP - 228
BT - International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 1st IEEE International Conference on Automation, Computing and Renewable Systems, ICACRS 2022
Y2 - 13 December 2022 through 15 December 2022
ER -