Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using...
Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Epilepsy is a brain disorder that affects about 50 million persons around the world and is characterized by generating recurrent seizures, which can put patients in permanent because of falls, drowning, burns, and prolonged seizures that they can suffer. Hence, it is of vital importance to propose a methodology with the capability of predicting a s...
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Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals
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TN_cdi_doaj_primary_oai_doaj_org_article_6105363d30d74ccc9ea146c0f3e5bb55
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6105363d30d74ccc9ea146c0f3e5bb55
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math8122125
