Dynamic Hilbert warping, a new measure of RR-interval signals evaluated in the cognitive load estimation

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• 作者：Peyvand Ghaderyan ^{peyvand.ghaderyan@gmail.com} ; Ataollah Abbasi ; ^{ata.abbasi@sut.ac.ir} ; ^{ata.abbasi@gmail.com} ;
• 关键词：Cognitive load estimation ; Empirical mode decomposition ; Dynamic Hilbert warping ; Phase spectra ; Entropy ; Amplitude envelope
• 刊名：Medical Engineering & Physics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：40
• 期：Complete
• 页码：103-109
• 全文大小：1155 K
• 卷排序：40

文摘

New dynamic measures of analytic IMFs are presented for cognitive load estimation. The measures characterize short-term variability in the RR interval signals. Phase information plays a major role in ECG analysis for cognitive load estimation.