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      Detection of the Vibration Signal from Human Vocal Folds Using a 94-GHz Millimeter-Wave Radar

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          Abstract

          The detection of the vibration signal from human vocal folds provides essential information for studying human phonation and diagnosing voice disorders. Doppler radar technology has enabled the noncontact measurement of the human-vocal-fold vibration. However, existing systems must be placed in close proximity to the human throat and detailed information may be lost because of the low operating frequency. In this paper, a long-distance detection method, involving the use of a 94-GHz millimeter-wave radar sensor, is proposed for detecting the vibration signals from human vocal folds. An algorithm that combines empirical mode decomposition (EMD) and the auto-correlation function (ACF) method is proposed for detecting the signal. First, the EMD method is employed to suppress the noise of the radar-detected signal. Further, the ratio of the energy and entropy is used to detect voice activity in the radar-detected signal, following which, a short-time ACF is employed to extract the vibration signal of the human vocal folds from the processed signal. For validating the method and assessing the performance of the radar system, a vibration measurement sensor and microphone system are additionally employed for comparison. The experimental results obtained from the spectrograms, the vibration frequency of the vocal folds, and coherence analysis demonstrate that the proposed method can effectively detect the vibration of human vocal folds from a long detection distance.

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          Most cited references 35

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                Author and article information

                Affiliations
                [1 ]Department of Biomedical Engineering, Fourth Military Medical University, Xi’an 710032, China; fumingfmmu@ 123456outlook.com
                [2 ]College of Control Engineering, Xijing University, Xi’an 710123, China; sheng@ 123456mail.xjtu.edu.cn
                [3 ]Center for Disease Control and Prevention of Guangzhou Military Region, Guangzhou 510507, China; zyfmmu@ 123456126.com
                Author notes
                [* ]Correspondence: wangjq@ 123456fmmu.edu.cn ; Tel.: +86-29-8477-4843; Fax: +86-29-8477-9259
                [†]

                These authors contributed equally to this work.

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                08 March 2017
                March 2017
                : 17
                : 3
                sensors-17-00543
                10.3390/s17030543
                5375829
                28282892
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

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