ORCID Profile
0000-0002-9373-7065
Current Organisations
Aalborg University
,
Universidad Técnica Federico Santa María
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: MDPI AG
Date: 31-12-2021
DOI: 10.3390/APP12010401
Abstract: 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 litude-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 litude 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.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Publisher: Elsevier BV
Date: 02-2010
Publisher: Elsevier BV
Date: 08-2015
DOI: 10.1016/J.AENJ.2015.03.001
Abstract: It is generally accepted that nurses have insufficient knowledge about disaster preparedness due to a lack of acceptance of core competencies and the absence of disaster preparedness in nursing curricula. This study explored nurses' knowledge and sources of knowledge, and skills as they relate to disaster management in Saudi Arabia, where more than 4660 people have died, 32,000 people have been affected, and US$4.65 billion in damage has been caused by disaster since 1980. A quantitative, non-experimental, descriptive research design. Nurses in Saudi Arabia have moderate knowledge concerning disaster preparedness. However, nurses in military hospitals possess more knowledge than those who work in government hospitals. The majority of nurses gained their knowledge and skills from disaster drills. Nurses need more education in all areas of disaster management, most importantly in their roles during response to disasters. Nurses perceive themselves as not well-prepared but they are willing to improve their skills in disaster preparedness if educational opportunities are provided.
Publisher: Elsevier BV
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: AIP Publishing
Date: 11-2021
DOI: 10.1063/5.0067784
Abstract: In this manuscript, a general formulation of 3-dimensional compressible fluids based on the port-Hamiltonian framework is presented, both for isentropic and non-isentropic assumptions, describing the energy flux between the mechanical, chemical, and thermal domains, with an explicit characterization of the first and the second law of thermodynamics. For isentropic fluids, the conversion of kinetic energy into heat by viscous friction is considered as energy dissipation associated with the rotation and compression of the fluid. A dissipative port-Hamiltonian formulation is derived for this class of fluids, including vorticity boundary conditions in the port variables. For non-isentropic fluids, we consider a fluid mixture with multiple chemical reactions. To describe the energy fluxes, we propose a pseudo port-Hamiltonian formulation, which includes the rate of irreversible entropy creation by heat flux, chemical reaction, diffusion of matter, and viscous friction.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2012
Publisher: Informa UK Limited
Date: 24-07-2014
Publisher: MDPI AG
Date: 08-11-2021
DOI: 10.20944/PREPRINTS202111.0151.V1
Abstract: 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, which has been shown to be advantageous for the ambulatory monitoring of vocal function. 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, and temperature, among other factors. Observation uncertainties and model mismatch may result in significant deviations in the glottal airflow estimates, but 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 ANOVA results from laboratory experiments using the Rainbow Passage indicate a an improvement on litude-based measures for PVH subjects compared to IBIF which shows a statistically difference with respect to the reference oral airflow (p=0.02,F=4.1). MFDR from PVH subjects is slightly different to the oral airflow when compared to IBIF (p=0.04, F=3.3). Other measures did not have significant differences with either Kalman or IBIF, with the exception of H1H2, whose performance deteriorates for both methods. Overall, both methods show similar flottal airflow measures, with the advantage of Kalman by improving litude 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 Kalman filter implementation.
Publisher: Institution of Engineering and Technology (IET)
Date: 05-05-2011
Publisher: Elsevier BV
Date: 10-2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
Publisher: Informa UK Limited
Date: 18-12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2005
Publisher: Scientific Research Publishing, Inc.
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Publisher: Informa UK Limited
Date: 26-03-2014
Publisher: Elsevier BV
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2013
Publisher: Elsevier BV
Date: 10-2008
Publisher: Springer Science and Business Media LLC
Date: 10-02-2011
Publisher: Institution of Engineering and Technology (IET)
Date: 05-05-2011
Publisher: Universitat Politecnica de Valencia
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Publisher: Informa UK Limited
Date: 06-03-2014
No related grants have been discovered for Juan Yuz.