We propose a new group-theoretical approach to the problem of alignment of time events in multichannel signal recordings. Such an alignment is an essential phase in the classification of transients in electroencephalogram/magnetoencephalogram (MEG) signals. A common reference frame is reconstructed applying a time translation transformation based on delayed mutual correlation functions of the individual events. The method is applied to MEG data sets recorded from epileptic patients showing paroxysmal interictal discharges.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/TBME.2002.802060 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hemodynamic cortical ripples through cyclicity analysis.
Netw Neurosci
December 2024
Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, Urbana, USA.
A fine-grained understanding of dynamics in cortical networks is crucial to unpacking brain function. Resting-state functional magnetic resonance imaging (fMRI) gives rise to time series recordings of the activity of different brain regions, which are aperiodic and lack a base frequency. Cyclicity analysis, a novel technique robust under time reparametrizations, is effective in recovering the temporal ordering of such time series, collectively considered components of a multidimensional trajectory.
View Article and Find Full Text PDFIdentifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study.
JMIR AI
April 2024
University of Virginia, Charlottesville, VA, United States.
Article Synopsis
- Biobehavioral rhythms are critical processes influencing health and have been linked to various issues like sleep disorders and depression.
- The study analyzed mobile data from 188 college students over 16 weeks to explore the relationship between these rhythms and self-reported productivity scores.
- Results showed that students with more stable biobehavioral rhythms tended to have higher productivity, suggesting that understanding these rhythms could enhance health and performance in future cyber-human systems.
Experimental demonstration of real-time cardiac physiology-based radiotherapy gating for improved cardiac radioablation on an MR-linac.
Med Phys
April 2024
Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Background: Cardiac radioablation is a noninvasive stereotactic body radiation therapy (SBRT) technique to treat patients with refractory ventricular tachycardia (VT) by delivering a single high-dose fraction to the VT isthmus. Cardiorespiratory motion induces position uncertainties resulting in decreased dose conformality. Electocardiograms (ECG) are typically used during cardiac MRI (CMR) to acquire images in a predefined cardiac phase, thus mitigating cardiac motion during image acquisition.
View Article and Find Full Text PDFMosaicism in -Related Neurodevelopmental Disorder: Report of Two Sisters and Literature Review.
Case Rep Genet
November 2023
Division of Medical Genetics and Genomics, The Stead Family Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Bromodomain and PHD finger containing 1 ()-related neurodevelopmental disorder is characterized by intellectual disability, developmental delay, hypotonia, dysmorphic facial features, ptosis, and blepharophimosis. Both and inherited pathogenic variants have been previously reported in association with this disorder. We report two affected female siblings with a novel variant in c.
View Article and Find Full Text PDFInference of Dynamic Growth Regulatory Network in Cancer Using High-Throughput Transcriptomic Data.
Methods Mol Biol
November 2023
Centre of Bioinformatics, Institute of Interdisciplinary Studies, University of Allahabad, Prayagraj, India.
Growth is regulated by gene expression variation at different developmental stages of biological processes such as cell differentiation, disease progression, or drug response. In cancer, a stage-specific regulatory model constructed to infer the dynamic expression changes in genes contributing to tissue growth or proliferation is referred as a dynamic growth regulatory network (dGRN). Over the past decade, gene expression data has been widely used for reconstructing dGRN by computing correlations between the differentially expressed genes (DEGs).
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!