HIGHLIGHTS
- who: Automated Seizure Detection and collaborators from the The Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University have published the research: Redundancy Removed Dual-Tree Discrete Wavelet Transform to Construct Compact Representations for, in the Journal: (JOURNAL)
- what: The authors proposed a novel redundancy removed DTDWT (RR-DTDWT) framework for Energy and modified multi-scale entropy (MMSE) features in a dual tree wavelet domain were extracted to construct a complete picture of mental states. In the next step, the authors aimed to minimize the global redundancy, and meanwhile retain the . . .
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