Prediction and detection of human epileptic seizures based on SIFT-MS chemometric data.
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ABSTRACT:
SUBMITTER: Catala A
PROVIDER: S-EPMC7591930 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
Prediction and detection of human epileptic seizures based on SIFT-MS chemometric data.
Catala Amélie A Levasseur-Garcia Cecile C Pagès Marielle M Schaff Jean-Luc JL Till Ugo U Vitola Pasetto Leticia L Hausberger Martine M Cousillas Hugo H Violleau Frederic F Grandgeorge Marine M
Scientific reports 20201027 1
Although epilepsy is considered a public health issue, the burden imposed by the unpredictability of seizures is mainly borne by the patients. Predicting seizures based on electroencephalography has had mixed success, and the idiosyncratic character of epilepsy makes a single method of detection or prediction for all patients almost impossible. To address this problem, we demonstrate herein that epileptic seizures can not only be detected by global chemometric analysis of data from selected ion ...[more]
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