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

Archive ouverte : Communication dans un congrès

Elias, V. | Rabih, A. | Bin, S. | Aziz, H. | Nassar, Georges

Edité par HAL CCSD ; Institute of Electrical and Electronics Engineers Inc.

International audience. 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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