Nonlinear analysis of scalp EEGs from normal and brain tumour subjects-Reference-Cited by-同舟云学术

Nonlinear analysis of scalp EEGs from normal and brain tumour subjects

Published:2020-11-30 Issue:2 Volume:66 Page:115-123
ISSN:1862-278X
Container-title:Biomedical Engineering / Biomedizinische Technik
language:en
Short-container-title:

Author:

Selvam V. Salai¹,Devi S. Shenbaga¹

Affiliation:

1. Department of Electronics and Communication Engineering , College of Engineering, Guindy, Anna University , Chennai , 600 025 , Tamil Nadu , India

Abstract

Abstract Measurement of features from the chaos theory or as popularly known, the concept of nonlinear dynamics, as indicatives of several pathological conditions and cognition states using the electroencephalography (EEG) signal is very popular. In this paper, the analysis of scalp EEG signals of normal subjects and brain tumour patients using the nonlinear dynamic features has been presented. The nonlinear dynamic features that represent the dimensional and waveform complexities of the signal being analyzed have been considered. The statistical analysis of the selected nonlinear dynamic features has been presented. The results show that the nonlinear dynamic features significantly discriminate the brain tumour group from the normal group.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering

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