Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals
Measures of predictability in physiological signals based on entropy metrics have been widely used in the application domain of medical assessment and clinical diagnosis. In this paper, we propose a new entropy-based pattern learning by a combination of singular spectrum analysis (SSA) and entropy m...
Saved in:
| Main Authors: | Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Tasleem Kausar, Shixiong Chen, Ming Liu, Bo Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/4625218 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Microseismic Signals Based on Multiscale Singular Spectrum Entropy
by: Xingli Zhang, et al.
Published: (2020-01-01) -
Partial discharge pattern recognition based on EEMD singular value entropy
by: Luo Riping, et al.
Published: (2024-03-01) -
Singular spectrum analysis for the time-variable seasonal signals from GPS in Yunnan Province
by: Weijie Tan, et al.
Published: (2024-11-01) -
Remarks on complexities and entropies for singularity categories
by: Takahashi, Ryo
Published: (2023-11-01) -
Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
by: Yu He, et al.
Published: (2016-01-01)