An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems - Archive ouverte HAL
Conference Papers Year : 2021

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

Abstract

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.
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Dates and versions

hal-03362268 , version 1 (01-10-2021)

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Cite

Victory Elias, A. Rabih, S. Bin, H. Aziz, Georges Nassar. An autonomous acoustic collar to quantify the severity of covid-19 effects by analyzing the vibratory components of vocal and respiratory systems. 3rd IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2021, Jun 2021, Sfax, Tunisia. ⟨10.1109/DTS52014.2021.9498235⟩. ⟨hal-03362268⟩
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