2018
DOI: 10.1016/j.bspc.2018.04.007
|View full text |Cite
|
Sign up to set email alerts
|

Classification of ictal and interictal EEG using RMS frequency, dominant frequency, root mean instantaneous frequency square and their parameters ratio

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(1 citation statement)
references
References 41 publications
0
1
0
Order By: Relevance
“…In this study, we employed the Root-Mean-Square (RMS) analysis, a statistical measure commonly used to quantify the magnitude or intensity of a varying signal or data set. The application of RMS analysis in EEG research has a long-standing history, and it has been utilized in numerous studies [ 32 ], [ 33 ], [ 34 ] utilizing this technique to explore brain dynamics and related phenomena based on EEG data.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, we employed the Root-Mean-Square (RMS) analysis, a statistical measure commonly used to quantify the magnitude or intensity of a varying signal or data set. The application of RMS analysis in EEG research has a long-standing history, and it has been utilized in numerous studies [ 32 ], [ 33 ], [ 34 ] utilizing this technique to explore brain dynamics and related phenomena based on EEG data.…”
Section: Methodsmentioning
confidence: 99%