journal article·2023-01-01

RETRACTED: Characteristics Analysis of Digital Broadcast BioSignal Based on Fuzzy Integral

Xi Yang

Journal of Testing and Evaluation· Volume 51· Issue 1
This record is marked as retracted by the source. Review the publisher’s notice before using its findings.
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Abstract

Abstract Following an investigation undertaken by the publisher, we have determined that this paper was accepted on the basis of a compromised peer review process. We hereby retract the paper. The corresponding author has been notified of the retraction. The retraction statement can be found here: https://doi.org/10.1520/JTE20269997. In this work, an analysis method based on fuzzy integral was proposed to analyze the features of digital broadcast bio-signals. First, the signal preemphasis and normalized was conducted. Second, the signal was decomposed into different subspaces with fuzzy integrals and features of each subspace were extracted. Then standardization, dimension reduction, and characteristics analysis are conducted on the eigenvectors of each digital broadcast subspace signal to realize the characteristic analysis of digital broadcast signals. The experiment results show that the response time of this method is between 20 and 30 min, the cost is less than 10,000 RMB, and the detection probability is greater than 97 %, which indicate that the proposed method can quickly and accurately analyze the characteristics of digital broadcast bio-signals.
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Research context

OpenAlex topics: Distributed Sensor Networks and Detection Algorithms · Fault Detection and Control Systems · Target Tracking and Data Fusion in Sensor Networks

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Affiliations

Information Management Center, College of Physical Education, Zhengzhou University 1 , No. 2 of Yinhe St., Huiji District, Zhengzhou 450000 ,

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