HIGHLIGHTS
- who: Yabing Li from the Xi`an University of Science and Technology, China have published the research: A RUSBoosted tree method for k-complex detection using tunable Q-factor wavelet transform and multi-domain feature extraction, in the Journal: (JOURNAL)
- what: In this study, to develop and present a procedure of kcomplex detection in an epoch, a robust method for the imbalance dataset was proposed based on TQWT coupled with the RUSBoosted tree classifier. The multi-domain features based on the analysis of the EEG signals were employed to represent k-complex and non-kcomplex . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.