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Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation

Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaiso 2390123, Chile
Institute for Research and Development on Bioengineering and Bioinformatics, Consejo Nacional de Investigaciones Científicas y Técnicas–Universidad Nacional de Entre Ríos, Oro Verde 3100, Argentina
Department of Biomedical Engineering, Universidad de Valparaíso, Valparaiso 2362905, Chile
Department of Sound, Universidad de Chile, Santiago 8340380, Chile
Massachusetts General Hospital, Boston, MA 02114, USA
Speech and Hearing Bioscience and Technology Program, Harvard Medical School, Boston, MA 02115, USA
MGH Institute of Health Professions, Boston, MA 02129, USA
Author to whom correspondence should be addressed.
Academic Editor: Francesc Alías
Appl. Sci. 2022, 12(1), 401;
Received: 4 November 2021 / Revised: 24 December 2021 / Accepted: 27 December 2021 / Published: 31 December 2021
Subglottal Impedance-Based Inverse Filtering (IBIF) allows for the continuous, non-invasive estimation of glottal airflow from a surface accelerometer placed over the anterior neck skin below the larynx. It has been shown to be advantageous for the ambulatory monitoring of vocal function, specifically in the use of high-order statistics to understand long-term vocal behavior. However, during long-term ambulatory recordings over several days, conditions may drift from the laboratory environment where the IBIF parameters were initially estimated due to sensor positioning, skin attachment, or temperature, among other factors. Observation uncertainties and model mismatch may result in significant deviations in the glottal airflow estimates; unfortunately, they are very difficult to quantify in ambulatory conditions due to a lack of a reference signal. To address this issue, we propose a Kalman filter implementation of the IBIF filter, which allows for both estimating the model uncertainty and adapting the airflow estimates to correct for signal deviations. One-way analysis of variance (ANOVA) results from laboratory experiments using the Rainbow Passage indicate an improvement using the modified Kalman filter on amplitude-based measures for phonotraumatic vocal hyperfunction (PVH) subjects compared to the standard IBIF; the latter showing a statistically difference (p-value =0.02, F=4.1) with respect to a reference glottal volume velocity signal estimated from a single notch filter used here as ground-truth in this work. In contrast, maximum flow declination rates from subjects with vocal phonotrauma exhibit a small but statistically difference between the ground-truth signal and the modified Kalman filter when using one-way ANOVA (p-value =0.04, F=3.3). Other measures did not have significant differences with either the modified Kalman filter or IBIF compared to ground-truth, with the exception of H1-H2, whose performance deteriorates for both methods. Overall, both methods (modified Kalman filter and IBIF) show similar glottal airflow measures, with the advantage of the modified Kalman filter to improve amplitude estimation. Moreover, Kalman filter deviations from the IBIF output airflow might suggest a better representation of some fine details in the ground-truth glottal airflow signal. Other applications may take more advantage from the adaptation offered by the modified Kalman filter implementation. View Full-Text
Keywords: vocal hyperfunction; inverse filtering; Kalman filter vocal hyperfunction; inverse filtering; Kalman filter
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MDPI and ACS Style

Cortés, J.P.; Alzamendi, G.A.; Weinstein, A.J.; Yuz, J.I.; Espinoza, V.M.; Mehta, D.D.; Hillman, R.E.; Zañartu, M. Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation. Appl. Sci. 2022, 12, 401.

AMA Style

Cortés JP, Alzamendi GA, Weinstein AJ, Yuz JI, Espinoza VM, Mehta DD, Hillman RE, Zañartu M. Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation. Applied Sciences. 2022; 12(1):401.

Chicago/Turabian Style

Cortés, Juan P., Gabriel A. Alzamendi, Alejandro J. Weinstein, Juan I. Yuz, Víctor M. Espinoza, Daryush D. Mehta, Robert E. Hillman, and Matías Zañartu. 2022. "Kalman Filter Implementation of Subglottal Impedance-Based Inverse Filtering to Estimate Glottal Airflow during Phonation" Applied Sciences 12, no. 1: 401.

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