<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The scalp electroencephalography (EEG) signal is an important clinical tool for the diagnosis of several brain disorders. The objective of the presented work is to analyze the feasibility of the spectral features extracted from the scalp EEG signals in detecting brain tumors. A set of 16 candidate features from frequency domain is considered. The significance on the mean values of these features between 100 brain tumor patients and 102 normal subjects is statistically evaluated. Nine of the candidate features significantly discriminate the brain tumor case from the normal one. The results encourage the use of (quantitative) scalp EEG for the diagnosis of brain tumors</p></abstract>

The scalp electroencephalography (EEG) signal is an important clinical tool for the diagnosis of several brain disorders. The objective of the presented work is to analyze the feasibility of the spectral features extracted from the scalp EEG signals in detecting brain tumors. A set of 16 candidate features from frequency domain is considered. The significance on the mean values of these features between 100 brain tumor patients and 102 normal subjects is statistically evaluated. Nine of the candidate features significantly discriminate the brain tumor case from the normal one. The results encourage the use of (quantitative) scalp EEG for the diagnosis of brain tumors

Analysis of Spectral Features of EEG signal in Brain Tumor Condition

Sriram Engineering College, Department of Electronics & Communication Engineering, Chennai – 602 024, India

College of Engineering, Department of Electronics & Communication Engineering, Faculty of Information & Communication, Anna University, Guindy, Chennai – 600 025

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Analysis of Spectral Features of EEG signal in Brain Tumor Condition"}

The scalp electroencephalography (EEG) signal is an important clinical tool for the diagnosis of several brain disorders. The objective of the presented work...

Analysis of Spectral Features of EEG signal in Brain Tumor Condition

Online veröffentlicht: 27. Aug. 2015

Seitenbereich: 219 - 225

Eingereicht: 09. Jan. 2015

Akzeptiert: 12. Aug. 2015

DOI: https://doi.org/10.1515/msr-2015-0030

© by V. Salai Selvam

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.