Feasibility of seizure risk prediction using intracranial EEG measurements in dogs

Farid Yaghouby; Behrouz Madahian; Hossein Mirinejad; Sridhar Sunderam

doi:10.1109/NEBEC.2015.7117179

Feasibility of seizure risk prediction using intracranial EEG measurements in dogs

Farid Yaghouby
, Behrouz Madahian
, Hossein Mirinejad
, Sridhar Sunderam

Biomedical Engineering

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

Patients with refractory epilepsy would greatly benefit from an accurate seizure forecasting system. This paper introduces a seizure prediction algorithm based on a random forest classifier that uses features computed from continuous intracranial electroencephalographic (iEEG) measurements in dogs with naturally occurring epilepsy. Results suggest that the proposed model can distinguish between interictal (baseline) and preictal (pre-seizure) periods and provide an intuitive measure of seizure risk that may have practical utility.

Idioma original	English
Título de la publicación alojada	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
ISBN (versión digital)	9781479983605
DOI	https://doi.org/10.1109/NEBEC.2015.7117179
Estado	Published - jun 2 2015
Evento	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States Duración: abr 17 2015 → abr 19 2015

Serie de la publicación

Nombre	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Conference

Conference	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
País/Territorio	United States
Ciudad	Troy
Período	4/17/15 → 4/19/15

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Good health and well being

ASJC Scopus subject areas

Biotechnology
Cancer Research
Cell Biology
Molecular Medicine
Biomedical Engineering
Control and Systems Engineering

Acceder al documento

10.1109/NEBEC.2015.7117179

Otros archivos y enlaces

Citar esto

@inproceedings{9d9b60748e4148dc82918d2be84f913e,

title = "Feasibility of seizure risk prediction using intracranial EEG measurements in dogs",

abstract = "Patients with refractory epilepsy would greatly benefit from an accurate seizure forecasting system. This paper introduces a seizure prediction algorithm based on a random forest classifier that uses features computed from continuous intracranial electroencephalographic (iEEG) measurements in dogs with naturally occurring epilepsy. Results suggest that the proposed model can distinguish between interictal (baseline) and preictal (pre-seizure) periods and provide an intuitive measure of seizure risk that may have practical utility.",

keywords = "EEG, Epilepsy, Random forest, Seizure prediction",

author = "Farid Yaghouby and Behrouz Madahian and Hossein Mirinejad and Sridhar Sunderam",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 ; Conference date: 17-04-2015 Through 19-04-2015",

year = "2015",

month = jun,

day = "2",

doi = "10.1109/NEBEC.2015.7117179",

language = "English",

series = "2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015",

booktitle = "2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015",

}

Yaghouby, F, Madahian, B, Mirinejad, H & Sunderam, S 2015, Feasibility of seizure risk prediction using intracranial EEG measurements in dogs. En 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015., 7117179, 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, Troy, United States, 4/17/15. https://doi.org/10.1109/NEBEC.2015.7117179

Feasibility of seizure risk prediction using intracranial EEG measurements in dogs. / Yaghouby, Farid; Madahian, Behrouz; Mirinejad, Hossein et al.
2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. 2015. 7117179 (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015).

Producción científica: Conference contribution › revisión exhaustiva

TY - GEN

T1 - Feasibility of seizure risk prediction using intracranial EEG measurements in dogs

AU - Yaghouby, Farid

AU - Madahian, Behrouz

AU - Mirinejad, Hossein

AU - Sunderam, Sridhar

PY - 2015/6/2

Y1 - 2015/6/2

N2 - Patients with refractory epilepsy would greatly benefit from an accurate seizure forecasting system. This paper introduces a seizure prediction algorithm based on a random forest classifier that uses features computed from continuous intracranial electroencephalographic (iEEG) measurements in dogs with naturally occurring epilepsy. Results suggest that the proposed model can distinguish between interictal (baseline) and preictal (pre-seizure) periods and provide an intuitive measure of seizure risk that may have practical utility.

AB - Patients with refractory epilepsy would greatly benefit from an accurate seizure forecasting system. This paper introduces a seizure prediction algorithm based on a random forest classifier that uses features computed from continuous intracranial electroencephalographic (iEEG) measurements in dogs with naturally occurring epilepsy. Results suggest that the proposed model can distinguish between interictal (baseline) and preictal (pre-seizure) periods and provide an intuitive measure of seizure risk that may have practical utility.

KW - EEG

KW - Epilepsy

KW - Random forest

KW - Seizure prediction

UR - https://www.scopus.com/pages/publications/84941072499

UR - https://www.scopus.com/pages/publications/84941072499#tab=citedBy

U2 - 10.1109/NEBEC.2015.7117179

DO - 10.1109/NEBEC.2015.7117179

M3 - Conference contribution

AN - SCOPUS:84941072499

T3 - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

BT - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

T2 - 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Y2 - 17 April 2015 through 19 April 2015

ER -

Feasibility of seizure risk prediction using intracranial EEG measurements in dogs

Resumen

Serie de la publicación

Conference

Nota bibliográfica

ODS de las Naciones Unidas

ASJC Scopus subject areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto