Titre :

An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems

Auteur(s) :

Elias, Victory [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Rabih, A. [Auteur]
Bin, S. [Auteur]
Aziz, H. [Auteur]
Nassar, Georges [Auteur correspondant]
Matériaux et Acoustiques pour MIcro et NAno systèmes intégrés - IEMN [MAMINA - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Titre de la manifestation scientifique :

3rd IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2021

Ville :

Sfax

Pays :

Tunisie

Date de début de la manifestation scientifique :

2021-06-07

Éditeur :

Institute of Electrical and Electronics Engineers Inc.

Date de publication :

2021

Mot(s)-clé(s) en anglais :

Acoustic/ultrasound signal processing
Autonomous systems
Covid-19
Mechanical variables measurement
nano-wire sensors

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL