A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection
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| Format: | Artículo científico |
| Language: | en |
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Universidad Distrital Francisco José de Caldas
2024
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| author | Leandro Dorado-Romero |
| author_facet | Leandro Dorado-Romero |
| contents | A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection Leandro Dorado-Romero Maximiliano Bueno-López Jenny Alexandra Cifuentes-Quintero Ingeniería on epilepsy seizures nonlinear stationary Context: Epilepsy is a neurological disease that affects more than 50 million people worldwide, causing recurrent seizures, with a significant impact on patients’ quality of life due to abnormally synchronized neuronal activity.Method: This article discusses three methods used for signal analysis in patients diagnosed with epilepsy. Conventional signal decomposition methods, such as the fast Fourier transform, widely used in signal analysis based on time series techniques, have some issues when analyzing nonlinear and non-stationary signals, in addition to difficulties in detecting low-order frequencies.Results: To overcome these limitations, alternatives such as empirical mode decomposition and one of its variants, called ensemble empirical mode decomposition, have been developed.Conclusions: In this study, the results obtained through the aforementioned techniques were compared, revealing the impact of nonlinear methods on the reconstruction of brain activity. electroencephalogram, empirical mode decomposition, epilepsy, instantaneous frequency, intrinsic mode functions, methodology, nonlinear, non-stationary, oscillation modes, seizures. 2024 artículo científico 0121-750X https://www.redalyc.org/articulo.oa?id=498880092002 https://www.redalyc.org/journal/4988/498880092002/ https://www.redalyc.org/journal/4988/498880092002/html/ https://www.redalyc.org/journal/4988/498880092002/498880092002.epub https://www.redalyc.org/journal/4988/498880092002/movil 10.14483/23448393.21311 en http://www.redalyc.org/revista.oa?id=4988 Ingeniería application/pdf Universidad Distrital Francisco José de Caldas Ingeniería (Colombia) Num.2 Vol.29 |
| format | Artículo científico |
| id | redalyc_498880092002 |
| institution | Redalyc |
| language | en |
| publishDate | 2024 |
| publisher | Universidad Distrital Francisco José de Caldas |
| spellingShingle | A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection Leandro Dorado-Romero Ingeniería on epilepsy seizures nonlinear stationary A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection Leandro Dorado-Romero Maximiliano Bueno-López Jenny Alexandra Cifuentes-Quintero Ingeniería on epilepsy seizures nonlinear stationary Context: Epilepsy is a neurological disease that affects more than 50 million people worldwide, causing recurrent seizures, with a significant impact on patients’ quality of life due to abnormally synchronized neuronal activity.Method: This article discusses three methods used for signal analysis in patients diagnosed with epilepsy. Conventional signal decomposition methods, such as the fast Fourier transform, widely used in signal analysis based on time series techniques, have some issues when analyzing nonlinear and non-stationary signals, in addition to difficulties in detecting low-order frequencies.Results: To overcome these limitations, alternatives such as empirical mode decomposition and one of its variants, called ensemble empirical mode decomposition, have been developed.Conclusions: In this study, the results obtained through the aforementioned techniques were compared, revealing the impact of nonlinear methods on the reconstruction of brain activity. electroencephalogram, empirical mode decomposition, epilepsy, instantaneous frequency, intrinsic mode functions, methodology, nonlinear, non-stationary, oscillation modes, seizures. 2024 artículo científico 0121-750X https://www.redalyc.org/articulo.oa?id=498880092002 https://www.redalyc.org/journal/4988/498880092002/ https://www.redalyc.org/journal/4988/498880092002/html/ https://www.redalyc.org/journal/4988/498880092002/498880092002.epub https://www.redalyc.org/journal/4988/498880092002/movil 10.14483/23448393.21311 en http://www.redalyc.org/revista.oa?id=4988 Ingeniería application/pdf Universidad Distrital Francisco José de Caldas Ingeniería (Colombia) Num.2 Vol.29 |
| title | A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection |
| topic | Ingeniería on epilepsy seizures nonlinear stationary |
| url | https://www.redalyc.org/articulo.oa?id=498880092002 https://www.redalyc.org/journal/4988/498880092002/ https://www.redalyc.org/journal/4988/498880092002/html/ https://www.redalyc.org/journal/4988/498880092002/498880092002.epub https://www.redalyc.org/journal/4988/498880092002/movil |