AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software [version 2; referees: 2 approved]

AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software [version 2; referees: 2 approved]

Objective: To develop a novel software method (AR2) for reducing muscle contamination of ictal scalp electroencephalogram (EEG), and validate this method on the basis of its performance in comparison to a commercially available software method (AR1) to accurately depict seizure-onset location. Metho...

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Bibliographic Details
Main Authors: Shennan Aibel Weiss, Ali A Asadi-Pooya, Sitaram Vangala, Stephanie Moy, Dale H Wyeth, Iren Orosz, Michael Gibbs, Lara Schrader, Jason Lerner, Christopher K Cheng, Edward Chang, Rajsekar Rajaraman, Inna Keselman, Perdro Churchman, Christine Bower-Baca, Adam L Numis, Michael G Ho, Lekha Rao, Annapoorna Bhat, Joanna Suski, Marjan Asadollahi, Timothy Ambrose, Andres Fernandez, Maromi Nei, Christopher Skidmore, Scott Mintzer, Dawn S Eliashiv, Gary W Mathern, Marc R Nuwer, Michael Sperling, Jerome Engel Jr, John M Stern
Format: Article
Language:English
Published: F1000 Research Ltd 2017-04-01
Series:F1000Research
Subjects:
Neuroimaging
Online Access:https://f1000research.com/articles/6-30/v2

Internet

https://f1000research.com/articles/6-30/v2

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