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Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms.

Simons, S, Abásolo, D and Sauseng, P (2015) Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE.

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Abstract

The spurious increase in coherence of electroencephalogram (EEG) signals between distant electrode points has long been understood to be due to volume conduction of the EEG signal. Reducing the volume conduction components of EEG recordings in pre-processing attenuates this. However, the effect of volume conduction on non-linear signal processing of EEG signals is yet to be fully described. This pilot study aimed to investigate the impact of volume conduction on results calculated with a distance based, bivariate form of Lempel-Ziv Complexity (dLZC) by analyzing EEG signals from Alzheimer's disease (AD) patients and healthy age-matched controls with and without pre-processing with Current Source Density (CSD) transformation. Spurious statistically significant differences between AD patients and control's EEG signals seen without CSD pre-processing were not seen with CSD volume conduction mitigation. There was, however, overlap in the region of electrodes which were seen to hold this statistically significant information. These results show that, while previously published findings are still valid, volume conduction mitigation is required to ensure non-linear signal processing methods identify changes in signals only due to the purely local signal alone.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
AuthorsEmailORCID
Simons, SUNSPECIFIEDUNSPECIFIED
Abásolo, DUNSPECIFIEDUNSPECIFIED
Sauseng, PUNSPECIFIEDUNSPECIFIED
Date : 2015
Identification Number : 10.1109/EMBC.2015.7320105
Copyright Disclaimer : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Related URLs :
Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 17 Feb 2016 11:48
Last Modified : 17 Feb 2016 15:46
URI: http://epubs.surrey.ac.uk/id/eprint/809632

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