loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Aleksandar Jeremic 1 and Dejan Nikolic 2

Affiliations: 1 Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada ; 2 Physical Medicine and Rehabilitation, University Childrens Hospital, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

Keyword(s): Seizure Detection, Information Fusion, Machine Learning.

Abstract: Recently there has been an increase in the number of long-term cot-bed EEG systems being implemented in clinical practice in order to monitor neurological development of neonatal patients. Consequently a significant research effort has been made in the development of automatic EEG data analysis tools including but not limited to seizure detection as seizure frequency and/or intensity are one of the most important indicators of brain development. In this paper we propose to evaluate time dependent power spectral density using short time Fourier transform and using Frechet distance measure to detect presence and/or absence of seizures. We propose to use three different distance measures as they capture different properties of the corresponding PSD matrices. We evaluate the performance of the proposed algorithms using real data set obtained in the NICU of the McMaster University Hospital. In order to benchmark performance of our proposed techniques we trained and tested a support vector machine (SVM) classifier. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.128.190.102

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Jeremic, A. and Nikolic, D. (2020). Detecting Neonatal Seizures using Short Time Fourier Transform and Frechet Distance. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 342-347. DOI: 10.5220/0009178703420347

@conference{biosignals20,
author={Aleksandar Jeremic. and Dejan Nikolic.},
title={Detecting Neonatal Seizures using Short Time Fourier Transform and Frechet Distance},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS},
year={2020},
pages={342-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009178703420347},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOSIGNALS
TI - Detecting Neonatal Seizures using Short Time Fourier Transform and Frechet Distance
SN - 978-989-758-398-8
IS - 2184-4305
AU - Jeremic, A.
AU - Nikolic, D.
PY - 2020
SP - 342
EP - 347
DO - 10.5220/0009178703420347
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic