A review of significant research on epileptic seizure detection and prediction using heart rate variability
Epilepsy is a brain disorder that many people struggle with all over the world. Despite extensive research, epilepsy is still an important challenge without a clear solution. There may be confusion about providing a specific approach due to the variety of epileptic seizures and the effectiveness in...
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| Format: | Article |
| Language: | English |
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KARE Publishing
2018-07-01
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| Series: | Türk Kardiyoloji Derneği Arşivi |
| Subjects: | |
| Online Access: | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-64928 |
| _version_ | 1797922180781047808 |
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| author | Soroor Behbahani |
| author_facet | Soroor Behbahani |
| author_sort | Soroor Behbahani |
| collection | DOAJ |
| description | Epilepsy is a brain disorder that many people struggle with all over the world. Despite extensive research, epilepsy is still an important challenge without a clear solution. There may be confusion about providing a specific approach due to the variety of epileptic seizures and the effectiveness in different environmental conditions. Some patients with epilepsy undergo treatment through medication or surgery. Epileptic patients suffer from unpredictable conditions that may occur at any moment. Given the origins of these seizures, researchers have focused on predicting epileptic seizures via electroencephalogram (EEG). The results indicate some success in this regard. This success led to a focus on optimizing these methods and the evaluation of epilepsy seizure prediction through other vital signals. Both sympathetic and parasympathetic inhibitory effects are undeniable during epileptic seizures. This conflict is visible in the change in heart rate. In recent years several investigations have focused on a behavioral study of heart rate changes before the seizures. The results have led to the development of algorithms for classifying and predicting epileptic seizures using the electrocardiogram (ECG) and the more distinct heart rate variability (HRV). This article presents an overview of seizure detection and prediction methods and discusses their potential to improve the quality of life of epileptic patients. |
| first_indexed | 2024-04-10T14:27:24Z |
| format | Article |
| id | doaj.art-694836992b0549a2916d2d1721f7e364 |
| institution | Directory Open Access Journal |
| issn | 1016-5169 |
| language | English |
| last_indexed | 2024-04-10T14:27:24Z |
| publishDate | 2018-07-01 |
| publisher | KARE Publishing |
| record_format | Article |
| series | Türk Kardiyoloji Derneği Arşivi |
| spelling | doaj.art-694836992b0549a2916d2d1721f7e3642023-02-15T16:08:59ZengKARE PublishingTürk Kardiyoloji Derneği Arşivi1016-51692018-07-0146541442110.5543/tkda.2018.64928TKDA-64928A review of significant research on epileptic seizure detection and prediction using heart rate variabilitySoroor Behbahani0Department of Electrical Engineering, Garmsar Branch, Islamic Azad University, Garmsar, IranEpilepsy is a brain disorder that many people struggle with all over the world. Despite extensive research, epilepsy is still an important challenge without a clear solution. There may be confusion about providing a specific approach due to the variety of epileptic seizures and the effectiveness in different environmental conditions. Some patients with epilepsy undergo treatment through medication or surgery. Epileptic patients suffer from unpredictable conditions that may occur at any moment. Given the origins of these seizures, researchers have focused on predicting epileptic seizures via electroencephalogram (EEG). The results indicate some success in this regard. This success led to a focus on optimizing these methods and the evaluation of epilepsy seizure prediction through other vital signals. Both sympathetic and parasympathetic inhibitory effects are undeniable during epileptic seizures. This conflict is visible in the change in heart rate. In recent years several investigations have focused on a behavioral study of heart rate changes before the seizures. The results have led to the development of algorithms for classifying and predicting epileptic seizures using the electrocardiogram (ECG) and the more distinct heart rate variability (HRV). This article presents an overview of seizure detection and prediction methods and discusses their potential to improve the quality of life of epileptic patients.https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-64928detectionelectrocardiogram; epilepsy; heart rate variability; prediction. |
| spellingShingle | Soroor Behbahani A review of significant research on epileptic seizure detection and prediction using heart rate variability Türk Kardiyoloji Derneği Arşivi detection electrocardiogram; epilepsy; heart rate variability; prediction. |
| title | A review of significant research on epileptic seizure detection and prediction using heart rate variability |
| title_full | A review of significant research on epileptic seizure detection and prediction using heart rate variability |
| title_fullStr | A review of significant research on epileptic seizure detection and prediction using heart rate variability |
| title_full_unstemmed | A review of significant research on epileptic seizure detection and prediction using heart rate variability |
| title_short | A review of significant research on epileptic seizure detection and prediction using heart rate variability |
| title_sort | review of significant research on epileptic seizure detection and prediction using heart rate variability |
| topic | detection electrocardiogram; epilepsy; heart rate variability; prediction. |
| url | https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-64928 |
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