Aim Of The Study: A novel method for removal of artifacts from long-term EEGs was developed and evaluated. The method targets most types of artifacts and works without user interaction.
Materials And Methods: The method is based on a neurophysiological model and utilizes an iterative Bayesian estimation scheme. The performance was evaluated by two independent reviewers. From 48 consecutive epilepsy patients, 102 twenty-second seizure onset EEGs were used to evaluate artifacts before and after artifact removal and regarding the erroneous attenuation of true EEG patterns.
Results: The two reviewers found "major improvements" in 59% and 49% of the EEG epochs respectively, and "minor improvements" in 38% and 47% of the epochs, respectively. The answer "similar or worse" was chosen only in 0% and 4%, respectively. Neither of the reviewers found "major attenuations", i.e., a significant attenuation of significant EEG patterns. Most EEG epochs were found to be either "mostly preserved" or "all preserved". A "minor attenuation" was found only in 0% and 17%, respectively.
Conclusions: The proposed artifact removal algorithm effectively removes artifacts from EEGs and improves the readability of EEGs impaired by artifacts. Only in rare cases did the algorithm slightly attenuate EEG patterns, but the clear visibility of significant patterns was preserved in all cases of this study. Current artifact removal methods work either semi-automatically or with insufficient reliability for clinical use, whereas the "PureEEG" method works fully automatically and leaves true EEG patterns unchanged with a high reliability.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.neucli.2014.09.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Gel immersion in endoscopy: Exploring potential applications.
World J Gastroenterol
January 2025
Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan.
The challenge of effectively eliminating air during gastrointestinal endoscopy using ultrasound techniques is apparent. This difficulty arises from the intricacies of removing concealed air within the folds of the gastrointestinal tract, resulting in artifacts and compromised visualization. In addition, the overlap of folds with lesions can obscure their depth and size, presenting challenges for an accurate assessment.
View Article and Find Full Text PDFWe report a hybrid Brillouin optical frequency/correlation-domain analysis technique, capable of accurate and high spatial resolution Brillouin frequency shift (BFS) profile measurements in optical fibers. The method relies on a conventional Brillouin optical frequency domain analysis (BOFDA) configuration, with an additional sinusoidal frequency modulation (FM) applied to the pump and probe beams. Such frequency modulation synthetizes a sequence of narrow correlation peaks along the fiber, which are simultaneously interrogated through BOFDA.
View Article and Find Full Text PDFPhoton-counting computed tomography (PCCT) is superior in providing better CT image contrast than traditional CT technology. However, noticeable ring artifacts are more likely caused by the imperfect functioning of photon-counting detectors. This study proposes an efficient ring artifacts correction approach based on the unique characteristics of unwanted components in multi-domains.
View Article and Find Full Text PDFNanoscale visualization of crack tips inside molten corium-concrete interaction debris using 3D-FIB-SEM with multiphase positional misalignment correction.
Microscopy (Oxf)
January 2025
Faculty of Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Characterizing molten corium-concrete interaction (MCCI) fuel debris in Fukushima reactors is essential to develop efficient methods for its removal. To enhance the accuracy of microscopic observation and focused ion beam (FIB) microsampling of MCCI fuel debris, we developed a three-dimentional FIB scanning electron microscopy (SEM) technique with a multiphase positional misalignment (MPPM) correction method. This system automatically aligns voxel positions, corrects contrast, and removes artifacts from a series of over 500 SEM images.
View Article and Find Full Text PDFImproving MRI turbulence quantification by addressing the measurement errors caused by the derivatives of the turbulent velocity field - Sequence development and in-vitro validation.
Magn Reson Imaging
January 2025
Institute of Fluid Mechanics, University of Rostock, Rostock, Germany.
Purpose: To improve the current method for MRI turbulence quantification which is the intravoxel phase dispersion (IVPD) method. Turbulence is commonly characterized by the Reynolds stress tensor (RST) which describes the velocity covariance matrix. A major source for systematic errors in MRI is the sequence's sensitivity to the variance of the derivatives of velocity, such as the acceleration variance, which can lead to a substantial measurement bias.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!