Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal
作者：
Highlights：
• ECG signals of 7 healthy subjects and 21 OSA patients were used to sleep staging.
• SVD, VMD, HHT and Morphological methods were used to extract features.
• The Wrapper Subset Evaluation system was used for feature selection process.
• The best performances were obtained as 87.11% (healthy) and 78.08% (patient).
• The best performances were obtained using Morphological method.
摘要
•ECG signals of 7 healthy subjects and 21 OSA patients were used to sleep staging.•SVD, VMD, HHT and Morphological methods were used to extract features.•The Wrapper Subset Evaluation system was used for feature selection process.•The best performances were obtained as 87.11% (healthy) and 78.08% (patient).•The best performances were obtained using Morphological method.
论文关键词：Automatic sleep staging,ECG,HHT,Morphological features,SVD,VMD
论文评审过程：Received 28 November 2017, Revised 23 February 2018, Accepted 26 February 2018, Available online 27 February 2018, Version of Record 19 March 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.02.034
