Alpha wave of sleep electroencephalogram analysis based on multiscale sign series entropy
Jianhui Jiang, Shitong Wang, Fengzhen Hou, Jin Li, Jun Wang
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.99How to use a DOI?
- Sleep Electroencephalogram; multiscale sign series entropy; clinical diagnosis
- Sleep Electroencephalogram (Sleep EEG) detection and treatment can provide the basis for clinical diagnosis and treatment. According to the non-stationary random character of EEG itself, the paper proposed multiscale sign series entropy (MSSE) method and applied it to the state of sleep EEG analysis. Numerical results showed that, MSSE method can effectively differentiate awake period wave and sleep stage wave even if under the influence of the noise. The results show that the algorithm can aid in clinical diagnosis of sleep EEG.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jianhui Jiang AU - Shitong Wang AU - Fengzhen Hou AU - Jin Li AU - Jun Wang PY - 2015/04 DA - 2015/04 TI - Alpha wave of sleep electroencephalogram analysis based on multiscale sign series entropy BT - 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SP - 501 EP - 505 SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.99 DO - https://doi.org/10.2991/icmra-15.2015.99 ID - Jiang2015/04 ER -