The Correlation between EEG Signals Varying with Distance for Datasets With and Without Medical Condition

Ronakben Bhavsar; Yi Sun; Na Helian; Neil Davey; David Mayor; Tony Steffert

doi:10.18745/pb.21692

The Correlation between EEG Signals Varying with Distance for Datasets With and Without Medical Condition

Ronakben Bhavsar, Yi Sun, Na Helian, Neil Davey, David Mayor, Tony Steffert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electroencephalogram (EEG) are time varying signal, and give different signals at the different position of electrodes. There might be a correlation between a pair of these signals; more likely related to the actual positions of electrodes. In this paper, we show that the correlation is related to the physical distance between electrodes as measured on the scalp for datasets without medical condition, but might not for datasets with medical conditions. This finding is independent of participants and brain hemisphere. Our results indicate that the EEG signal is not transmitted via neurons but through white matter in a brain

Original language	English
Title of host publication	Proceedings of Abstracts Engineering and Computer Science Research Conference 2019
Publisher	University of Hertfordshire
Pages	75
DOIs	https://doi.org/10.18745/pb.21692
Publication status	Published - 17 Apr 2019

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title = "The Correlation between EEG Signals Varying with Distance for Datasets With and Without Medical Condition",

abstract = "Electroencephalogram (EEG) are time varying signal, and give different signals at the different position of electrodes. There might be a correlation between a pair of these signals; more likely related to the actual positions of electrodes. In this paper, we show that the correlation is related to the physical distance between electrodes as measured on the scalp for datasets without medical condition, but might not for datasets with medical conditions. This finding is independent of participants and brain hemisphere. Our results indicate that the EEG signal is not transmitted via neurons but through white matter in a brain",

author = "Ronakben Bhavsar and Yi Sun and Na Helian and Neil Davey and David Mayor and Tony Steffert",

year = "2019",

month = apr,

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doi = "10.18745/pb.21692",

language = "English",

pages = "75",

booktitle = "Proceedings of Abstracts Engineering and Computer Science Research Conference 2019",

publisher = "University of Hertfordshire",

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T1 - The Correlation between EEG Signals Varying with Distance for Datasets With and Without Medical Condition

AU - Bhavsar, Ronakben

AU - Sun, Yi

AU - Helian, Na

AU - Davey, Neil

AU - Mayor, David

AU - Steffert, Tony

PY - 2019/4/17

Y1 - 2019/4/17

N2 - Electroencephalogram (EEG) are time varying signal, and give different signals at the different position of electrodes. There might be a correlation between a pair of these signals; more likely related to the actual positions of electrodes. In this paper, we show that the correlation is related to the physical distance between electrodes as measured on the scalp for datasets without medical condition, but might not for datasets with medical conditions. This finding is independent of participants and brain hemisphere. Our results indicate that the EEG signal is not transmitted via neurons but through white matter in a brain

AB - Electroencephalogram (EEG) are time varying signal, and give different signals at the different position of electrodes. There might be a correlation between a pair of these signals; more likely related to the actual positions of electrodes. In this paper, we show that the correlation is related to the physical distance between electrodes as measured on the scalp for datasets without medical condition, but might not for datasets with medical conditions. This finding is independent of participants and brain hemisphere. Our results indicate that the EEG signal is not transmitted via neurons but through white matter in a brain

U2 - 10.18745/pb.21692

DO - 10.18745/pb.21692

M3 - Conference contribution

SP - 75

BT - Proceedings of Abstracts Engineering and Computer Science Research Conference 2019

PB - University of Hertfordshire

ER -

The Correlation between EEG Signals Varying with Distance for Datasets With and Without Medical Condition

Abstract

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