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An autonomous acoustic collar to quantify ...
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Document type :
Communication dans un congrès avec actes
DOI :
10.1109/DTS52014.2021.9498235
Title :
An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems
Author(s) :
Elias, V. [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Rabih, A. [Auteur]
Bin, S. [Auteur]
Aziz, H. [Auteur]
Nassar, Georges []
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN [MAMINA - IEMN]
Conference title :
3rd IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2021
City :
Sfax
Country :
Tunisie
Start date of the conference :
2021-06-07
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Publication date :
2021
English keyword(s) :
Acoustic/ultrasound signal processing
Autonomous systems
Covid-19
Mechanical variables measurement
nano-wire sensors
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
In this work, an acoustic wide band devise based on a nano-wire electromechanical sensor has been designed to assess the pathophysiology state severity resulting from the effect of Covid-19 affectation. The system consists ...
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In this work, an acoustic wide band devise based on a nano-wire electromechanical sensor has been designed to assess the pathophysiology state severity resulting from the effect of Covid-19 affectation. The system consists of a flexible collar to which biocompatible acoustic and thermoelectric sensors associated at an Artificial Intelligence algorithm to provide an objective analysis regarding the effects of the infection disease. This devise able to offers multidimensional information and a decision support tool for determining a pathophysiological state representative of the symptoms explored. Having tested the device on 30 subjects, it was able to differentiate patients with mild symptoms from those who have developed acute signs of respiratory failure. With this potential, it contributes to the non-invasive assessment and dynamic observation of lesions in order to provide support for medical operators to improve an optimal clinical management in times of crisis.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
Source :
Harvested from HAL
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