AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.
Weiss, Shennan Aibel; Asadi-Pooya, Ali A; Vangala, Sitaram; Moy, Stephanie; Wyeth, Dale H; Orosz, Iren; Gibbs, Michael; Schrader, Lara; Lerner, Jason; Cheng, Christopher K; Chang, Edward; Rajaraman, Rajsekar; Keselman, Inna; Churchman, Perdro; Bower-Baca, Christine; Numis, Adam L; Ho, Michael G; Rao, Lekha; Bhat, Annapoorna; Suski, Joanna; Asadollahi, Marjan; Ambrose, Timothy; Fernandez, Andres; Nei, Maromi; Skidmore, Christopher; Mintzer, Scott; Eliashiv, Dawn S; Mathern, Gary W; Nuwer, Marc R; Sperling, Michael; ... view all 32 authors
- Publisher: eScholarship, University of California
- Journal: volume 6eissn: 2046-1402
Related identifiers: , - Subject: independent component analysis | seizure | Software Tool Article | scalp EEG | muscle artifact | Articles | electroencephalogram | Neuroimaging
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... View more
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