Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

Anomaly detection for sleep EEG signal with Mahalanobis-Taguchi-Gram-Schmidt method

Authors
Xiaohong Peng, Rui Zheng, Jiufu Liu, Xiaobin Ding
Corresponding Author
Xiaohong Peng
Available Online May 2018.
DOI
https://doi.org/10.2991/iceesd-18.2018.118How to use a DOI?
Keywords
Anomaly detection, Electroencephalogram(EEG) signal,Mahalanobis-Taguchi-Gram-Schmidt, sleep stages, Signal to Noise ratio
Abstract

Considering the tedious steps, the poor accuracy and over-subjectivity of human sleep quality judgment artificially, this paper presents an automatic detection algorithm of sleep quality based on Mahalanobis-Taguchi system method. Based on the modeling and analysis of the human brain dual channel EEG signals, the normalized vector of each channel is obtained under different sleep stages. At the same time, the linear independent vector group is subjected to Gram-Schmidt orthogonalization, and the mean value of the signal-to-noise ratio of each sleep stage is calculated by using the Mahalanobis-Taguchi-Gram-Schmidt method. Through analyzing the waveform of the mean signal-to-noise ratio on different sleep stages, the normal and the abnormal sleep quality can be identified.

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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Volume Title
Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-503-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-18.2018.118How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiaohong Peng
AU  - Rui Zheng
AU  - Jiufu Liu
AU  - Xiaobin Ding
PY  - 2018/05
DA  - 2018/05
TI  - Anomaly detection for sleep EEG signal with Mahalanobis-Taguchi-Gram-Schmidt method
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 645
EP  - 650
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.118
DO  - https://doi.org/10.2991/iceesd-18.2018.118
ID  - Peng2018/05
ER  -