Conference proceeding
Reference Signal Impact on EEG Energy
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS, v 5553(3), pp 605-611
01 Jan 2009
Abstract
A reference is required to record electroencephalography (EEG) Signals, and therefore the reference signal can effect any quantitative EEG analysis. In this study, we investigate the impact of reference signal amplitude oil it commonly used quantitative measure of the EEG, the signal energy. We show that: (i) when the reference signal and the non-referential signal have negative correlation. the energy of the referential signal Will monotonically increase as the amplitude of the reference signal increases from 0 to infinity. (ii) When the reference signal and the non-referential signal have positive correlation, energy of the referential sinal first decreases to some nonnegative value and then increases as the amplitude of the reference signal increases from 0 to infinity. In general, the reference signal may decrease or increase energy values. But a reference signal with higher relative amplitude will surely increase energy V,values. In [1], We developed a method to identify and extract the reference signal contribution to EEG recordings. Here we apply this approach to referential EEG recorded from human Subjects and directly investigate the contribution of recording, reference oil energy and show that the reference signal may have a significant effect on energy values.
Metrics
Details
- Title
- Reference Signal Impact on EEG Energy
- Creators
- Sanqing Hu - Department of Neurology, Division of Epilepsy and Electroencephalography, Mayo Clinic, Rochester, USA MN 55905 and School of Biomedical Engineering, Drexel University, Philadelphia, USA PA 19104Matt Stead - Department of Neurology, Division of Epilepsy and Electroencephalography, Mayo Clinic, Rochester, USA MN 55905Hualou Liang - Drexel UniversityGregory A. Worrell - Department of Neurology, Division of Epilepsy and Electroencephalography, Mayo Clinic, Rochester, USA MN 55905
- Contributors
- W Yu (Editor)H B He (Editor)N Zhang (Editor)
- Publication Details
- ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS, v 5553(3), pp 605-611
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 3
- Grant note
- Epilepsy Therapy Development Program Mayo Clinic Discovery Translation Program 5K23NS047495 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000268029200066
- Scopus ID
- 2-s2.0-69849113105
- Other Identifier
- 991019170557004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods