A sleep scoring application of ensemble learning algorithms in sleep patient scenario

WenJie Li; YaDong Liu; JinXia Zhou

doi:10.1117/12.2647475

7 September 2022 A sleep scoring application of ensemble learning algorithms in sleep patient scenario

WenJie Li, YaDong Liu, JinXia Zhou

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232928 (2022) https://doi.org/10.1117/12.2647475
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Sleep scoring is manually marked by professional neurophysicians, which is a time-consuming and subjective error prone work. An automatic classification algorithm dealing with this task is of great significance to auxiliary medical diagnose. In this paper, data set are collected from the clinical physiological signals of 7 patients from Xianga Hospital. Signal preprocessing and feature extraction algorithm combines the advantages of principal component analysis and wavelet decomposition in only single EEG channel. In result, the five fold cross validation on the data set of all 7 patients has achieved an average accuracy of 77.18% and the highest accuracy of 83.24%. In addition, it is also found that the stable and optimal EEG channel is C3-M2, and the extracted 41 wavelet statistical features are not sensitive to signal noise, and it is found that the random forest model has better classification performance.

Citation Download Citation

WenJie Li, YaDong Liu, and JinXia Zhou "A sleep scoring application of ensemble learning algorithms in sleep patient scenario", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232928 (7 September 2022); https://doi.org/10.1117/12.2647475

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available