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Open AccessArticle

Ranking Power Spectra: A Proof of Concept

by Xilin Yu 1, Zhenning Mei 1, Chen Chen 1,* and Wei Chen 1,2,*
Center for Intelligent Medical Electronics (CIME), Fudan University, Shanghai 200433, China
Human Phenome Institute, Fudan University, Shanghai 200433, China
Authors to whom correspondence should be addressed.
Entropy 2019, 21(11), 1057;
Received: 11 September 2019 / Revised: 18 October 2019 / Accepted: 25 October 2019 / Published: 29 October 2019
To characterize the irregularity of the spectrum of a signal, spectral entropy and its variants are widely adopted measures. However, spectral entropy is invariant under the permutation of the power spectrum estimations on a predefined grid. This erases the inherent order structure in the spectrum. To disentangle the order structure and extract meaningful information from raw digital signal, a novel analysis method is necessary. In this paper, we tried to unfold this order structure by defining descriptors mapping real- and vector-valued power spectrum estimation of a signal into a scalar value. The proposed descriptors showed its potential in diverse problems. Significant differences were observed from brain signals and surface electromyography of different pathological/physiological states. Drastic change accompanied by the alteration of the underlying process of signals enables it as a candidate feature for seizure detection and endpoint detection in speech signal. Since the order structure in the spectrum of physiological signal carries previously ignored information, which cannot be properly extracted by existing techniques, this paper takes one step forward along this direction by proposing computationally efficient descriptors with guaranteed information gain. To the best of our knowledge, this is the first work revealing the effectiveness of the order structure in the spectrum in physiological signal processing. View Full-Text
Keywords: biomedical signal processing; order structure; spectral entropy biomedical signal processing; order structure; spectral entropy
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Yu, X.; Mei, Z.; Chen, C.; Chen, W. Ranking Power Spectra: A Proof of Concept. Entropy 2019, 21, 1057.

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