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Sensors 2017, 17(3), 543; doi:10.3390/s17030543

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

1,†
,
2,†
,
3
and
1,*
1
Department of Biomedical Engineering, Fourth Military Medical University, Xi’an 710032, China
2
College of Control Engineering, Xijing University, Xi’an 710123, China
3
Center for Disease Control and Prevention of Guangzhou Military Region, Guangzhou 510507, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
Received: 9 December 2016 / Revised: 3 March 2017 / Accepted: 4 March 2017 / Published: 8 March 2017
(This article belongs to the Special Issue Non-Contact Sensing)
View Full-Text   |   Download PDF [7879 KB, uploaded 10 March 2017]   |  

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. View Full-Text
Keywords: radar measurement; vocal folds; auto-correlation function; voice activity detection; coherence analysis; vibration signal detection radar measurement; vocal folds; auto-correlation function; voice activity detection; coherence analysis; vibration signal detection
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, F.; Li, S.; Zhang, Y.; Wang, J. Detection of the Vibration Signal from Human Vocal Folds Using a 94-GHz Millimeter-Wave Radar. Sensors 2017, 17, 543.

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