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The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions

Research output: Book/ReportDoctoral thesisCollection of Articles

Standard

The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions. / Wendel, Katrina.

Tampere : Tampere University of Technology, 2010. 60 p. (Tampere University of Technology. Publication; Vol. 900).

Research output: Book/ReportDoctoral thesisCollection of Articles

Harvard

Wendel, K 2010, The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions. Tampere University of Technology. Publication, vol. 900, Tampere University of Technology, Tampere.

APA

Wendel, K. (2010). The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions. (Tampere University of Technology. Publication; Vol. 900). Tampere: Tampere University of Technology.

Vancouver

Wendel K. The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions. Tampere: Tampere University of Technology, 2010. 60 p. (Tampere University of Technology. Publication).

Author

Wendel, Katrina. / The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions. Tampere : Tampere University of Technology, 2010. 60 p. (Tampere University of Technology. Publication).

Bibtex - Download

@book{607addb7c4744a6bb10c427dc190b93e,
title = "The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions",
abstract = "Electrical neuroimaging is a contemporary functional imaging method that evolves electroencephalography (EEG) beyond traditional signal analysis. It exploits the millisecond temporal resolution of EEG and integrates it with its spatial resolution, which is mapped according to the measurement sensitivity distribution of the measurement leads. This thesis assesses the EEG measurement sensitivity distribution according to the influence of tissue conductivities, electrode placement, electrode type, and geometries upon volume conductor head models. The conductivity of the skull is correlated with the age of the patient, recognizing that juveniles have higher spatial resolution than adults. Surface electrodes are compared with subdermal electrodes and are found to be non-interchangeable because the subdermal electrodes measure electric activity from one-eighth the volume of their surface-electrode counterparts. More accurate geometrical definitions naturally yield more precise forward and inverse calculations; however, a stochastically deformable generic head model based on anthropometric data addresses the void in imaged and segmented heads of different ages, genders and head shapes. Comprehensively, the investigation of these three key areas improves the knowledge of the EEG measurement sensitivity distributions, which will conceivably translate into clinical improvements in the diagnostics of brain functionality.",
author = "Katrina Wendel",
note = "Awarding institution:Tampere University of Technology",
year = "2010",
month = "6",
day = "18",
language = "English",
isbn = "978-952-15-2383-0",
series = "Tampere University of Technology. Publication",
publisher = "Tampere University of Technology",

}

RIS (suitable for import to EndNote) - Download

TY - BOOK

T1 - The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions

AU - Wendel, Katrina

N1 - Awarding institution:Tampere University of Technology

PY - 2010/6/18

Y1 - 2010/6/18

N2 - Electrical neuroimaging is a contemporary functional imaging method that evolves electroencephalography (EEG) beyond traditional signal analysis. It exploits the millisecond temporal resolution of EEG and integrates it with its spatial resolution, which is mapped according to the measurement sensitivity distribution of the measurement leads. This thesis assesses the EEG measurement sensitivity distribution according to the influence of tissue conductivities, electrode placement, electrode type, and geometries upon volume conductor head models. The conductivity of the skull is correlated with the age of the patient, recognizing that juveniles have higher spatial resolution than adults. Surface electrodes are compared with subdermal electrodes and are found to be non-interchangeable because the subdermal electrodes measure electric activity from one-eighth the volume of their surface-electrode counterparts. More accurate geometrical definitions naturally yield more precise forward and inverse calculations; however, a stochastically deformable generic head model based on anthropometric data addresses the void in imaged and segmented heads of different ages, genders and head shapes. Comprehensively, the investigation of these three key areas improves the knowledge of the EEG measurement sensitivity distributions, which will conceivably translate into clinical improvements in the diagnostics of brain functionality.

AB - Electrical neuroimaging is a contemporary functional imaging method that evolves electroencephalography (EEG) beyond traditional signal analysis. It exploits the millisecond temporal resolution of EEG and integrates it with its spatial resolution, which is mapped according to the measurement sensitivity distribution of the measurement leads. This thesis assesses the EEG measurement sensitivity distribution according to the influence of tissue conductivities, electrode placement, electrode type, and geometries upon volume conductor head models. The conductivity of the skull is correlated with the age of the patient, recognizing that juveniles have higher spatial resolution than adults. Surface electrodes are compared with subdermal electrodes and are found to be non-interchangeable because the subdermal electrodes measure electric activity from one-eighth the volume of their surface-electrode counterparts. More accurate geometrical definitions naturally yield more precise forward and inverse calculations; however, a stochastically deformable generic head model based on anthropometric data addresses the void in imaged and segmented heads of different ages, genders and head shapes. Comprehensively, the investigation of these three key areas improves the knowledge of the EEG measurement sensitivity distributions, which will conceivably translate into clinical improvements in the diagnostics of brain functionality.

M3 - Doctoral thesis

SN - 978-952-15-2383-0

T3 - Tampere University of Technology. Publication

BT - The influence of tissue conductivity and head geometry on EEG measurement sensitivity distributions

PB - Tampere University of Technology

CY - Tampere

ER -