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

Autor:	Cortés JP; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaiso 2390123, Chile., Alzamendi GA; 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., Weinstein AJ; Department of Biomedical Engineering, Universidad de Valparaíso, Valparaiso 2362905, Chile., Yuz JI; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaiso 2390123, Chile., Espinoza VM; Department of Sound, Universidad de Chile, Santiago 8340380, Chile., Mehta DD; 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., Hillman RE; 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., Zañartu M; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaiso 2390123, Chile.
Jazyk:	angličtina
Zdroj:	Applied sciences (Basel, Switzerland) [Appl Sci (Basel)] 2022 Jan; Vol. 12 (1). Date of Electronic Publication: 2021 Dec 31.
DOI:	10.3390/app12010401
Abstrakt:	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. Competing Interests: Conflicts of Interest: Matías Zañartu has a financial interest in Lanek SPA, a company focused on developing and commercializing biomedical devices and technologies. Zañartu’s interests were reviewed and are managed by Universidad Técnica Federico Santa María in accordance with its conflict-of-interest-policies. Robert Hillman and Daryush Mehta have a financial interest in InnoVoyce LLC, a company focused on developing and commercializing technologies for the prevention, diagnosis, and treatment of voice-related disorders. Hillman’s and Mehta’s interests were reviewed and are managed by Massachusetts General Hospital and Mass General Brigham in accordance with their conflict-of-interest policies. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Databáze:	MEDLINE
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