Online Ocular Artifact Detection and Rejection
نویسندگان
چکیده
منابع مشابه
Automatic online embolus detection and artifact rejection with the first multifrequency transcranial Doppler.
BACKGROUND AND PURPOSE The goal of this study was to assess the first multifrequency transcranial Doppler system specially developed for online automatic detection of cerebral microemboli. METHODS The multifrequency Doppler instrumentation insonates simultaneously with 2.0- and 2.5-MHz frequencies. The detection threshold for embolus detection used in this study was a relative Doppler energy ...
متن کاملArtifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis
This paper proposes a new framework to obtain quality respiratory variability signals from the raw breathing recorded in neonatal intensive care units (NICUs). It combines three consecutive blocks: an automatic rejection of artifacts, implemented by a logistic regression classifier, a two-step filtering process, and the identification of respiratory cycles, implemented by a peak detection algor...
متن کاملLocalized component filtering for electroencephalogram artifact rejection.
Blind source separation (BSS) based artifact rejection systems have been extensively studied in the electroencephalogram (EEG) literature. Although there have been advances in the development of techniques capable of dissociating neural and artifactual activity, these are still not perfect. As a result, a compromise between reduction of noise and leakage of neural activity has to be found. Here...
متن کاملAutomated Statistical Thresholding for EEG artifact Rejection
Electroencephalogram (EEG) data are typically contaminated with artifacts (e.g., by eye movements). The effect of artifacts can be attenuated by deleting data with amplitudes over a certain value, for example. Independent component analysis (ICA) separates EEG data into neural activity and artifact; once identified, artifactual components can be deleted from the data. Often, artifact rejection ...
متن کاملTowards human brain signal preprocessing and artifact rejection methods
In the brain computer interface (BCI) research field, a neurological occurrence is the only source of control in any BCI system. Artifacts are contrary signals that can affect with neurological phenomena. These artifacts may lead to the source of control in BCI systems. Electromyography (EMG) and electrooculography (EOG) artifacts are physiological artifacts that are carefully processed in BCI ...
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: Journal of Vision
سال: 2013
ISSN: 1534-7362
DOI: 10.1167/13.9.793