DECOMPOSITION OF SEIZURES IN EEG SIGNALS USING DISCRETE WAVELET TRANSFORMS (DWT)
| Autor: | N Shweta, Nagendra H |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.diagnostic_test
Computer science business.industry 0206 medical engineering Wavelet transform Pattern recognition 02 engineering and technology Electroencephalography 020601 biomedical engineering 0202 electrical engineering electronic engineering information engineering medicine Decomposition (computer science) 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH. :50-52 |
| DOI: | 10.36106/ijsr/4826974 |
| Popis: | An electroencephalogram (EEG) is a test that records electrical activity in the brain. Epileptic seizures affect approximately 50 million people worldwide, making it one of the most serious neurological disorders. Seizures cause a loss of consciousness, but there are no specic signs associated with epileptic seizures. analysing the brain's activity during seizures and locating the seizure duration in EEG recordings is difcult and time consuming. A discrete wavelet transform (DWT), which is an effective tool for decomposing EEG signals into delta, theta, alpha, beta, and gamma ( and ) frequency bands. For research, the db4 is used, which has a morphological d,q,a,b g structure that is different to that of EEG. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|