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Phasegram Analysis of Vocal Fold Vibration Documented With Laryngeal High-speed Video Endoscopy
CT. Herbst, J. Unger, H. Herzel, JG. Švec, J. Lohscheller,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, audiovizuální média
- MeSH
- audiovizuální záznam metody MeSH
- automatizace MeSH
- biomechanika MeSH
- časové faktory MeSH
- dospělí MeSH
- dysfonie diagnóza patofyziologie MeSH
- entropie MeSH
- fonace * MeSH
- hlasové řasy patofyziologie MeSH
- interpretace obrazu počítačem metody MeSH
- kvalita hlasu * MeSH
- laryngoskopie metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- nelineární dynamika MeSH
- ochrnutí hlasivek diagnóza patofyziologie MeSH
- periodicita MeSH
- prediktivní hodnota testů MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- vibrace MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- audiovizuální média MeSH
- časopisecké články MeSH
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 high-speed 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 (GAW) 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, thus significantly discriminating 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.
Department of Computer Science University of Applied Sciences Schneidershof 54293 Trier Germany
Institute for Theoretical Biology Humboldt University Berlin Invalidenstraße 43 10115 Berlin Germany
Citace poskytuje Crossref.org
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- $a Herbst, Christian T $u Voice Research Laboratory, Department of Biophysics, Faculty of Science, Palacký University Olomouc, Tr. 17. listopadu 12, 771 46 Olomouc, Czech Republic. Electronic address: herbst@ccrma.stanford.edu.
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- $a 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 high-speed 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 (GAW) 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, thus significantly discriminating 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.
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