PLESINGER, F., J. HALAMEK, Jan CHLÁDEK, P. JURAK, Irena DOLEŽALOVÁ, Jan CHRASTINA and Milan BRÁZDIL. Response to Vagal Stimulation by Heart-rate Features in Drug-resistant Epileptic Patients. Online. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). NEW YORK: IEEE, 2020, p. 46-49. ISBN 978-1-7281-1990-8. Available from: https://dx.doi.org/10.1109/EMBC44109.2020.9176326.
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Basic information
Original name Response to Vagal Stimulation by Heart-rate Features in Drug-resistant Epileptic Patients
Authors PLESINGER, F. (203 Czech Republic, guarantor), J. HALAMEK (203 Czech Republic), Jan CHLÁDEK (203 Czech Republic, belonging to the institution), P. JURAK (203 Czech Republic), Irena DOLEŽALOVÁ (203 Czech Republic, belonging to the institution), Jan CHRASTINA (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, belonging to the institution).
Edition NEW YORK, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), p. 46-49, 4 pp. 2020.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 30210 Clinical neurology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14110/20:00118651
Organization unit Faculty of Medicine
ISBN 978-1-7281-1990-8
ISSN 1557-170X
Doi http://dx.doi.org/10.1109/EMBC44109.2020.9176326
UT WoS 000621592200012
Keywords in English Vagal Stimulation; Heart-rate Features;Drug-resistant Epileptic Patients
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 7/4/2021 10:06.
Abstract
Vagal Nerve Stimulation (VNS) is an option in the treatment of drug-resistant epilepsy. However, approximately a quarter of VNS subjects does not respond to the therapy. In this retrospective study, we introduce heart-rate features to distinguish VNS responders and non-responders. Standard pre-implantation measurements of 66 patients were segmented in relation to specific stimuli (open/close eyes, photic stimulation, hyperventilation, and rests between). Median interbeat intervals were found for each segment and normalized (NMRR). Five NMRRs were significant; the strongest feature achieved significance with p=0.013 and AUC=0.66. Low mutual correlation and independence on EEG signals mean that presented features could be considered as an addition for models predicting VNS response using EEG.
Links
NV19-04-00343, research and development projectName: Predikce Efektu Stimulace u pacientů s Epilepsií (PRESEnCE) (Acronym: PRESEnCE)
Investor: Ministry of Health of the CR
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