Analysis of Magnetoencephalography in Depression Based on DFA

DOI

10.2991/ammsa-18.2018.15How to use a DOI?

Keywords

DFA; MEG signals; depression; scaling exponent

Abstract

In this paper, we used the method of detrended fluctuation analysis (DFA ) to study the self-similarity of MEG signals in the healthy subjects and the patients with depression. In the same negative emotional image stimulation, the DFA algorithm was used to calculate the scaling exponent of MEG signals in the patients with depression and the healthy subjects, respectively. The result show: Under the same stimulation, the scaling exponent of the patients with depression is higher than that of the healthy subjects. As a general phenomenon, the scaling exponent is used as a discriminant basis for identifying MEG signals in the healthy subjects and the patients with depression, and in the experiment obtained a more satisfactory results, this is an important indication of clinical diagnosis.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rui Yan
AU  - Chuchu Ding
AU  - Wei Yan
AU  - Jun Wang
AU  - Jin Li
AU  - Fengzhen Hou
PY  - 2018/05
DA  - 2018/05
TI  - Analysis of Magnetoencephalography in Depression Based on DFA
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 72
EP  - 75
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.15
DO  - 10.2991/ammsa-18.2018.15
ID  - Yan2018/05
ER  -