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2016 Sataloff Award to Christian T. Herbst

Herbst2015_smCongratulations to Christian Herbst, PhD

It is a great pleasure to announce that Christian T. Herbst, PhD, has been selected as the 8th Annual Sataloff Award for Young Investigators recipient. On behalf of Elsevier, the Sataloff Award Committee , Chairman, Robert T. Sataloff, Committee Chair Dr. Norman Hogikyan, Advisory Board Chair Dr. Michael Johns, and The Voice Foundation, congratulations!

Dr. Herbst was awarded the 2016 Sataloff Award by the unanimous decision of six judges for his paper Phasegram Analysis of Vocal Fold Vibration Documented With Laryngeal High-speed Video Endoscopy, currently an Article in Press at JVoice.org. The paper will be presented at the 45th Annual Symposium: Care of the Professional on Sunday, June 5th at 9:00 am in Medical Session IIB.

Awards will be given at the Symposium on Saturday, June 4th at 11:00 am by Dr. Robert Sataloff in the Grand Ballroom at the Westin Hotel Philadelphia.

*Christian T. Herbst, †Jakob Unger, ‡Hanspeter Herzel, *Jan G. Švec, and §Jörg Lohscheller, *Olomouc, Czech
Republic; †‡Berlin, Germany; and §Trier, Germany


Summary: Introduction. In a recent publication, the phasegram, a bifurcation diagram over time, has been introduced as an intuitive visualization tool for assessing the vibratory states of oscillating systems. Here, this nonlinear dynamics approach is augmented with quantitative analysis parameters, and it is applied to clinical laryngeal highspeed video (HSV) endoscopic recordings of healthy and pathological phonations.
Methods. HSV data from a total of 73 females diagnosed as healthy (n = 42), or with functional dysphonia (n = 15)
or with unilateral vocal fold paralysis (n = 16), were quantitatively analyzed. Glottal area waveforms (GAWs) and left
and right hemi-GAWs (hGAW) were extracted from the HSV recordings. Based on Poincaré sections through phase
space-embedded signals, two novel quantitative parameters were computed: the phasegram entropy (PE) and the phasegram complexity estimate (PCE), inspired by signal entropy and correlation dimension computation, respectively.
Results. Both PE and PCE assumed higher average values (suggesting more irregular vibrations) for the pathological
as compared with the healthy participants, significantly discriminating the healthy group from the paralysis group
(P = 0.02 for both PE and PCE). Comparisons of individual PE or PCE data for the left and the right hGAW within
each subject resulted in asymmetry measures for the regularity of vocal fold vibration. The PCE-based asymmetry measure revealed significant differences between the healthy group and the paralysis group (P = 0.03).
Conclusions. Quantitative phasegram analysis of GAW and hGAW data is a promising tool for the automated processing of HSV data in research and in clinical practice.
Keywords: phasegram–nonlinear analysis–periodicity–high-speed video endoscopy–glottal area waveform.

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