Paper Info
Title
Computation Of Surface Laplacian For Tri-Polar Ring Electrodes On High-Density Realistic Geometry Head Model
Abstract
Neural activity inside the human brain generate electrical signals that can be detected on the scalp. Electroencephalograph (EEG) is one of the most widely utilized techniques helping physicians and researchers to diagnose and understand various brain diseases. Due to its nature, EEG signals have very high temporal resolution but poor spatial resolution. To achieve higher spatial resolution, a novel tri-polar concentric ring electrode (TCRE) has been developed to directly measure Surface Laplacian (SL). The objective of the present study is to accurately calculate SL for TCRE based on a realistic geometry head model. A locally dense mesh was proposed to represent the head surface, where the local dense parts were to match the small structural components in TCRE. Other areas without dense mesh were used for the purpose of reducing computational load. We conducted computer simulations to evaluate the performance of the proposed mesh and evaluated possible numerical errors as compared with a low-density model. Finally, with achieved accuracy, we presented the computed forward lead field of SL for TCRE for the first time in a realistic geometry head model and demonstrated that it has better spatial resolution than computed SL from classic EEG recordings.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037640
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Signal,Concentric,Computer science,Artificial intelligence,Polar,Geometry,Temporal resolution,Image resolution,Electroencephalography,Computation,Laplace operator
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
1
0.37
References 
Authors
4
5
Name
Order
Citations
PageRank
Junwei Ma110.37
Han Yuan2928.55
Sridhar Sunderam323.10
Walter G. Besio45110.30
Lei Ding514226.77