EEGg: Generating Synthetic EEG Signals in Matlab Environment (TECHNICAL NOTE)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Yektaeian Vaziri Ava; MAKKIABADI BAHADOR; Samadzadehaghdam Nasser

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: FRONTIERS IN BIOMEDICAL TECHNOLOGIES Year:2023 | Volume:10 | Issue:3 Page(s): 370-381

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

EEGg: Generating Synthetic EEG Signals in Matlab Environment (TECHNICAL NOTE)

Author(s)

Yektaeian Vaziri Ava | MAKKIABADI BAHADOR | Samadzadehaghdam Nasser | Issue Writer Certificate

Keywords

Simulated Neuro-Electrical Data

Ground-Truth Networks

Electroencephalography

Simulation

Evaluation

Brain-Computer Interface

Abstract

Purpose: Utilizing Electroencephalogram (EEG) is more than at any time in history, therefore we have introduced an open-source MATLAB function to provide simulated EEG which is as equivalent as viable to empirical EEG in a user-friendly way with ground truth that is not accessible in real EEG records. This function should be versatile due to the requirements such as the number and orientation of sources, various noises, mode of activation function, and different anatomical structures. Materials and Methods: We indicate all phases, modes, and formulas which constitute EEGg, EEG generator. This function supports selecting main sources locations and orientation, choosing SNR with white Gaussian noise, electrode numbers, and mode of activation functions. Also, users have the option to use automatic or partly automatic, or fully automatic EEG construction in EEGg. This function is ready to use at https: //github. com/Avayekta/EEG. Results: EEGg is designed with several parameters that users have chosen. Hence, users can choose different variables to inspect the time and frequency aspects of synthetic EEG. Conclusion: EEGg is a multi-purpose and comprehensive function to mimic EEG but with ground-truth EEG data and adjustable parameters.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Yektaeian Vaziri, Ava, MAKKIABADI, BAHADOR, & Samadzadehaghdam, Nasser. (2023). EEGg: Generating Synthetic EEG Signals in Matlab Environment (TECHNICAL NOTE). FRONTIERS IN BIOMEDICAL TECHNOLOGIES, 10(3), 370-381. SID. https://sid.ir/paper/1136382/en

Vancouver: Copy

Yektaeian Vaziri Ava, MAKKIABADI BAHADOR, Samadzadehaghdam Nasser. EEGg: Generating Synthetic EEG Signals in Matlab Environment (TECHNICAL NOTE). FRONTIERS IN BIOMEDICAL TECHNOLOGIES[Internet]. 2023;10(3):370-381. Available from: https://sid.ir/paper/1136382/en

IEEE: Copy

Ava Yektaeian Vaziri, BAHADOR MAKKIABADI, and Nasser Samadzadehaghdam, “EEGg: Generating Synthetic EEG Signals in Matlab Environment (TECHNICAL NOTE),” FRONTIERS IN BIOMEDICAL TECHNOLOGIES, vol. 10, no. 3, pp. 370–381, 2023, [Online]. Available: https://sid.ir/paper/1136382/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops