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Objective Assessment of Covid-19 Severity Affecting the Vocal and Respiratory System Using a Wearable, Autonomous
1Electrical Engineering Department, University of Balamand (UOB), Balamand, Lebanon.
Cellular and Molecular Bioengineering
|November 15, 2021
Summary
A new soft collar with acoustic and thermal sensors can non-invasively assess respiratory conditions, including those caused by Covid-19. This wearable device aids in differentiating mild symptoms from severe respiratory failure, supporting early medical intervention.
Area of Science:
- Biomedical Engineering
- Medical Diagnostics
- Wearable Technology
Background:
- Covid-19 has caused a global health crisis, necessitating rapid and non-invasive diagnostic tools.
- Current Covid-19 detection methods involve lab analysis with significant time delays.
- Early identification of respiratory distress is crucial for effective patient management.
Purpose of the Study:
- To develop a soft collar-based sound device for objective evaluation of the pathophysiological state.
- To assess laryngeal or respiratory failure, particularly in the context of Covid-19.
- To provide a non-invasive tool for early detection and monitoring of respiratory conditions.
Main Methods:
- Utilized a soft collar equipped with biocompatible acoustic and thermal sensors.
- Collected vocal and respiratory system vibrations from 30 participants.
- Employed Short-Time Fourier Transform (STFT) for cross-data analysis in temporal and frequency domains.
Main Results:
- The device successfully differentiated patients with mild symptoms from those with acute respiratory failure.
- Multidimensional signal analysis provided a decision support tool for assessing pathophysiological states.
- Performance was evaluated on a severity scale of 1 to 10.
Conclusions:
- The passive listening technique offers a non-invasive method for assessing respiratory lesions.
- This technology can aid in the dynamic observation of patient conditions.
- Further research is warranted to integrate this device into clinical management workflows.
Keywords:
Autonomous sound systemsCovid-19Electromechanical sensorsMechanical variables measurementSound signal processingMore Related Videos
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