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Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment

[Image: see text] Deglutition disorders (dysphagia) are common symptoms of a large number of diseases and can lead to severe deterioration of the patient’s quality of life. The clinical evaluation of this problem involves an invasive screening, whose results are subjective and do not provide a preci...

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Autores principales: Natta, Lara, Guido, Francesco, Algieri, Luciana, Mastronardi, Vincenzo M., Rizzi, Francesco, Scarpa, Elisa, Qualtieri, Antonio, Todaro, Maria T., Sallustio, Vincenzo, De Vittorio, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294609/
https://www.ncbi.nlm.nih.gov/pubmed/34010558
http://dx.doi.org/10.1021/acssensors.0c02339
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author Natta, Lara
Guido, Francesco
Algieri, Luciana
Mastronardi, Vincenzo M.
Rizzi, Francesco
Scarpa, Elisa
Qualtieri, Antonio
Todaro, Maria T.
Sallustio, Vincenzo
De Vittorio, Massimo
author_facet Natta, Lara
Guido, Francesco
Algieri, Luciana
Mastronardi, Vincenzo M.
Rizzi, Francesco
Scarpa, Elisa
Qualtieri, Antonio
Todaro, Maria T.
Sallustio, Vincenzo
De Vittorio, Massimo
author_sort Natta, Lara
collection PubMed
description [Image: see text] Deglutition disorders (dysphagia) are common symptoms of a large number of diseases and can lead to severe deterioration of the patient’s quality of life. The clinical evaluation of this problem involves an invasive screening, whose results are subjective and do not provide a precise and quantitative assessment. To overcome these issues, alternative possibilities based on wearable technologies have been proposed. We explore the use of ultrathin, compliant, and flexible piezoelectric patches that are able to convert the laryngeal movement into a well-defined electrical signal, with extremely low anatomical obstruction and high strain resolution. The sensor is based on an aluminum nitride thin film, grown on a soft Kapton substrate, integrated with an electrical charge amplifier and low-power, wireless connection to a smartphone. An ad-hoc designed laryngeal motion simulator (LMS), which is able to mimic the motions of the laryngeal prominence, was used to evaluate its performances. The physiological deglutition waveforms were then extrapolated on a healthy volunteer and compared with the sEMG (surface electromyography) of the submental muscles. Finally, different tests were conducted to assess the ability of the sensor to provide clinically relevant information. The reliability of these features permits an unbiased evaluation of the swallowing ability, paving the way to the creation of a system that is able to provide a point-of-care automatic, unobtrusive, and real-time extrapolation of the patient’s swallowing quality even during normal behavior.
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spelling pubmed-82946092021-07-22 Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment Natta, Lara Guido, Francesco Algieri, Luciana Mastronardi, Vincenzo M. Rizzi, Francesco Scarpa, Elisa Qualtieri, Antonio Todaro, Maria T. Sallustio, Vincenzo De Vittorio, Massimo ACS Sens [Image: see text] Deglutition disorders (dysphagia) are common symptoms of a large number of diseases and can lead to severe deterioration of the patient’s quality of life. The clinical evaluation of this problem involves an invasive screening, whose results are subjective and do not provide a precise and quantitative assessment. To overcome these issues, alternative possibilities based on wearable technologies have been proposed. We explore the use of ultrathin, compliant, and flexible piezoelectric patches that are able to convert the laryngeal movement into a well-defined electrical signal, with extremely low anatomical obstruction and high strain resolution. The sensor is based on an aluminum nitride thin film, grown on a soft Kapton substrate, integrated with an electrical charge amplifier and low-power, wireless connection to a smartphone. An ad-hoc designed laryngeal motion simulator (LMS), which is able to mimic the motions of the laryngeal prominence, was used to evaluate its performances. The physiological deglutition waveforms were then extrapolated on a healthy volunteer and compared with the sEMG (surface electromyography) of the submental muscles. Finally, different tests were conducted to assess the ability of the sensor to provide clinically relevant information. The reliability of these features permits an unbiased evaluation of the swallowing ability, paving the way to the creation of a system that is able to provide a point-of-care automatic, unobtrusive, and real-time extrapolation of the patient’s swallowing quality even during normal behavior. American Chemical Society 2021-05-19 2021-05-28 /pmc/articles/PMC8294609/ /pubmed/34010558 http://dx.doi.org/10.1021/acssensors.0c02339 Text en © 2021 The Authors. Published by American Chemical Society Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Natta, Lara
Guido, Francesco
Algieri, Luciana
Mastronardi, Vincenzo M.
Rizzi, Francesco
Scarpa, Elisa
Qualtieri, Antonio
Todaro, Maria T.
Sallustio, Vincenzo
De Vittorio, Massimo
Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title_full Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title_fullStr Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title_full_unstemmed Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title_short Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment
title_sort conformable aln piezoelectric sensors as a non-invasive approach for swallowing disorder assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294609/
https://www.ncbi.nlm.nih.gov/pubmed/34010558
http://dx.doi.org/10.1021/acssensors.0c02339
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