Feature selection methods for accelerometry-based seizure detection in children-Reference-Cited by-同舟云学术

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Feature selection methods for accelerometry-based seizure detection in children

Published:2016-04-22 Issue:1 Volume:55 Page:151-165
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Milošević Milica,Van de Vel Anouk,Cuppens Kris,Bonroy Bert,Ceulemans Berten,Lagae Lieven,Vanrumste Bart,Van Huffel Sabine

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-016-1506-9.pdf

Reference31 articles.

1. Becq G, Bonnet S, Minotti L, Antonakios M, Guillemaud R, Kahane P (2011) Classification of epileptic motor manifestations using inertial and magnetic sensors. Comput Biol Med 41(1):46–55

2. Berg AT, Berkovic SF, Brodie MJ, Buchhalter J, Cross JH, Van Emde Boas W, Engel J, French J, Glauser TA, Mathern GW et al (2010) Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia 51(4):676–685

3. Botev Z, Grotowski J, Kroese D et al (2010) Kernel density estimation via diffusion. Ann Stat 38(5):2916–2957

4. Carlson C, Arnedo V, Cahill M, Devinsky O (2009) Detecting nocturnal convulsions: efficacy of the MP5 monitor. Seizure 18(3):225–227

5. Conradsen I, Beniczky S, Hoppe K, Wolf P, Sorensen HB (2012) Automated algorithm for generalized tonic–clonic epileptic seizure onset detection based on sEMG zero-crossing rate. IEEE Trans Biomed Eng 59(2):579–585

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