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...
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 |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2017-04-01
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Series: | F1000Research |
Subjects: | |
Online Access: | https://f1000research.com/articles/6-30/v2 |
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