Constrained extended Kalman filter for improving Bayesian inference of vocal function from laryngeal high-speed videoendoscopy

Emiro J. Ibarra; Gabriel A. Alzamendi; Matíaz Zañartu

doi:10.1117/12.2669812

6 March 2023 Constrained extended Kalman filter for improving Bayesian inference of vocal function from laryngeal high-speed videoendoscopy

Emiro J. Ibarra, Gabriel A. Alzamendi, Matíaz Zañartu

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Proceedings Volume 12567, 18th International Symposium on Medical Information Processing and Analysis; 125671E (2023) https://doi.org/10.1117/12.2669812
Event: 18th International Symposium on Medical Information Processing and Analysis, 2022, Valparaíso, Chile

Abstract

Bayesian estimation based on an extended Kalman filter and a muscle-controlled biomechanical model of the vocal folds has demonstrated a viable, appealing method for obtaining physiologically relevant measures of glottal function (e.g., subglottal pressure, activation of laryngeal muscles, and vocal fold collision pressure) from synchronized recordings of calibrated high-speed videoendoscopy and oral airflow. In practice, the simultaneous recording of these signals is a cumbersome, uncomfortable procedure for patients. To simplify the experimental procedure while maintaining sufficient accuracy, we introduce a constrained Bayesian scheme that suitably incorporates physiological information about the subglottal pressure and uses the glottal area waveform as the sole observation. The proposed constrained extended Kalman filter produces reliable glottal airflow estimates compared to in-lab obtained waveforms, yielding root-mean-square errors lower than 63 mL/s, a performance similar to previous studies. These initial results provide advancement for the clinical assessment of vocal function.

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Emiro J. Ibarra, Gabriel A. Alzamendi, and Matíaz Zañartu "Constrained extended Kalman filter for improving Bayesian inference of vocal function from laryngeal high-speed videoendoscopy", Proc. SPIE 12567, 18th International Symposium on Medical Information Processing and Analysis, 125671E (6 March 2023); https://doi.org/10.1117/12.2669812

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KEYWORDS

Data modeling

Muscles

RGB color model

Signal filtering

Bayesian inference

Covariance matrices

Statistical modeling

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