“You Have Reached Your Destination”: A Single Trial EEG Classification Study
نویسندگان
چکیده
منابع مشابه
Logistic Regression for Single Trial EEG Classification
We propose a novel framework for the classification of single trial ElectroEncephaloGraphy (EEG), based on regularized logistic regression. Framed in this robust statistical framework no prior feature extraction or outlier removal is required. We present two variations of parameterizing the regression function: (a) with a full rank symmetric matrix coefficient and (b) as a difference of two ran...
متن کاملA Simple Generative Model for Single-Trial EEG Classification
In this paper we present a simple and straightforward approach to the problem of single-trial classification of event-related potentials (ERP) in EEG. We exploit the well-known fact that event-related drifts in EEG potentials can well be observed if averaged over a sufficiently large number of trials. We propose to use the average signal and its variance as a generative model for each event cla...
متن کاملHave You Tested Your Goldmann Tonometer Today?
Intraocular pressure (IOP) is the only known modifiable risk factor for glaucoma. Besides being a cornerstone in glaucoma management, accurate measurement of IOP forms an important component of routine ophthalmic evaluation. Despite the innovation of various newer tonometers, Goldmann applanation tonometer is still considered the Gold standard for IOP measurement. However, there are several rep...
متن کاملHave you stress tested your assay?
OBJECTIVES When a clinical assay is stressed with extraordinarily high volume of specimens over a short period of time, extra caution may be needed to avoid systematic errors and biases. Here we report our experience with a HgbA1c assay used for high volume wellness screening purpose, to illustrate the importance of stress testing during assay validation. DESIGN AND METHODS Over 15,000 whole ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2020
ISSN: 1662-453X
DOI: 10.3389/fnins.2020.00066