ArticleThe Journal of the Acoustical Society of America2017
Automated setup for ex vivo larynx experiments.
Article in The Journal of the Acoustical Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Bilateral Functional Electrical Stimulation for the Treatment of Presbyphonia in a Sheep Model.The Laryngoscope · 2024Article
- Influence of flow rate and fiber tension on dynamical, mechanical and acoustical parameters in a synthetic larynx model with integrated fibers.Frontiers in physiology · 2024Article
- Neural network-based estimation of biomechanical vocal fold parameters.Frontiers in physiology · 2024Article
- Functional Analysis of Injectable Substance Treatment on Surgically Injured Rabbit Vocal Folds.Journal of voice : official journal of the Voice Foundation · 2023Article
- Effect of Ligament Fibers on Dynamics of Synthetic, Self-Oscillating Vocal Folds in a Biomimetic Larynx Model.Bioengineering (Basel, Switzerland) · 2023Article
- Synthetic mucus for an ex vivo phonation setup: Creation, application, and effect on excised porcine larynges.The Journal of the Acoustical Society of America · 2022Article
- Bioreactors for Vocal Fold Tissue Engineering.Tissue engineering. Part B, Reviews · 2022Review
- Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy.Journal of healthcare engineering · 2022Article
- Fluid-structure-acoustic interactions in an ex vivo porcine phonation model.The Journal of the Acoustical Society of America · 2021Article
- 3D-FV-FE Aeroacoustic Larynx Model for Investigation of Functional Based Voice Disorders.Frontiers in physiology · 2021Article
- Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings.Scientific reports · 2020Article
- Impact of Subharmonic and Aperiodic Laryngeal Dynamics on the Phonatory Process Analyzed in Ex Vivo Rabbit Models.Applied sciences (Basel, Switzerland) · 2019Article
- Juvenile Ovine Ex Vivo Larynges: Phonatory, Histologic, and Micro CT Based Anatomic Analyses.BioMed research international · 2019Article
- Laryngeal Pressure Estimation With a Recurrent Neural Network.IEEE journal of translational engineering in health and medicine · 2019Article
- Investigation of phonatory characteristics using ex vivo rabbit larynges.The Journal of the Acoustical Society of America · 2018Article
- Influence of glottal closure on the phonatory process in ex vivo porcine larynges.The Journal of the Acoustical Society of America · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Ex vivo larynx experiments are limited in time due to degeneration of the laryngeal tissues. In order to acquire a significant and comparable amount of data, automatization of current manual experimental procedures is desirable. A computer controlled, electro-mechanical setup was developed for time-dependent variation of specific physiological parameters, including adduction and elongation level of the vocal folds and glottal flow. The setup offers a standardized method to induce defined forces on the laryngeal cartilages. Furthermore, phonation onset is detected automatically and the subsequent measurement procedure is automated and standardized to improve the efficiency of the experimental process. The setup was validated using four ex vivo porcine larynges, whereas each validation measurement series was executed with one separate larynx. Altogether 31 single measurements were undertaken, which can be summed up to a total experimental time of about 4 min. Vocal fold elongation and adduction lead both to an increase in fundamental frequency and subglottal pressure. Measurement procedures like applying defined subglottal pressure steps and onset-offset detection were reliably executed. The setup allows for a computer-based parameter control, which enables fast experimental execution over a wide range of laryngeal configurations. This maximizes the number of measurements and reduces personal effort compared with manual procedures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.