NDLI: Biomedical Image Analysis in High-speed Laryngeal Imaging of Voice Production

Content Provider	IEEE Xplore Digital Library
Author	Yuling Yan Bless, D. Xin Chen
Copyright Year	2005
Description	Author affiliation: Dept. of Mech. Eng., Hawaii-Manoa Univ., Honolulu, HI (Yuling Yan)
Abstract	High-speed laryngeal imaging (HSLI) is emerging as a new clinical tool for the assessment of voice disorders. The analysis of high temporal resolution images of the vibrating vocal folds may provide new information on the mechanism of voice production and how altered vibratory properties relate to voice pathologies. An essential procedure in the HSLI data processing is tracing the vocal fold edges, an operation referred to as glottal edge detection. In this paper, we present an adaptive image segmentation method which facilitates fast and effective glottal edge detection operating on a frame-by-frame basis. The glottal area waveform traced from this process is then analyzed using an analytic signal approach we previously developed. In this approach, the analytic phase trace plot, or refereed to as Nyquist plot, is used to show patterns of the vocal fold vibration that correlate with voice quality and health condition. Several examples of clinical voice recordings are used to evaluate and test the effectiveness of our approach
Starting Page	7684
Ending Page	7687
File Size	279254
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616292
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical imaging Image analysis Speech analysis Production Image edge detection High-resolution imaging Signal analysis Information analysis Image resolution Mechanical factors
Content Type	Text
Resource Type	Article

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