Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders
Abstract Monitoring pathological mechano-acoustic signals emanating from the lungs is critical for timely and cost-effective healthcare delivery. Adventitious lung sounds including crackles, wheezes, rhonchi, bronchial breath sounds, stridor or pleural rub and abnormal breathing patterns function as...
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2021
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oai:doaj.org-article:2ffd02e57e1a48e9a432fe4d2a1910862021-12-02T16:32:08ZDetection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders10.1038/s41598-021-92666-22045-2322https://doaj.org/article/2ffd02e57e1a48e9a432fe4d2a1910862021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92666-2https://doaj.org/toc/2045-2322Abstract Monitoring pathological mechano-acoustic signals emanating from the lungs is critical for timely and cost-effective healthcare delivery. Adventitious lung sounds including crackles, wheezes, rhonchi, bronchial breath sounds, stridor or pleural rub and abnormal breathing patterns function as essential clinical biomarkers for the early identification, accurate diagnosis and monitoring of pulmonary disorders. Here, we present a wearable sensor module comprising of a hermetically encapsulated, high precision accelerometer contact microphone (ACM) which enables both episodic and longitudinal assessment of lung sounds, breathing patterns and respiratory rates using a single integrated sensor. This enhanced ACM sensor leverages a nano-gap transduction mechanism to achieve high sensitivity to weak high frequency vibrations occurring on the surface of the skin due to underlying lung pathologies. The performance of the ACM sensor was compared to recordings from a state-of-art digital stethoscope, and the efficacy of the developed system is demonstrated by conducting an exploratory research study aimed at recording pathological mechano-acoustic signals from hospitalized patients with a chronic obstructive pulmonary disease (COPD) exacerbation, pneumonia, and acute decompensated heart failure. This unobtrusive wearable system can enable both episodic and longitudinal evaluation of lung sounds that allow for the early detection and/or ongoing monitoring of pulmonary disease.Pranav GuptaHaoran WenLorenzo Di FrancescoFarrokh AyaziNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Pranav Gupta Haoran Wen Lorenzo Di Francesco Farrokh Ayazi Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
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Abstract Monitoring pathological mechano-acoustic signals emanating from the lungs is critical for timely and cost-effective healthcare delivery. Adventitious lung sounds including crackles, wheezes, rhonchi, bronchial breath sounds, stridor or pleural rub and abnormal breathing patterns function as essential clinical biomarkers for the early identification, accurate diagnosis and monitoring of pulmonary disorders. Here, we present a wearable sensor module comprising of a hermetically encapsulated, high precision accelerometer contact microphone (ACM) which enables both episodic and longitudinal assessment of lung sounds, breathing patterns and respiratory rates using a single integrated sensor. This enhanced ACM sensor leverages a nano-gap transduction mechanism to achieve high sensitivity to weak high frequency vibrations occurring on the surface of the skin due to underlying lung pathologies. The performance of the ACM sensor was compared to recordings from a state-of-art digital stethoscope, and the efficacy of the developed system is demonstrated by conducting an exploratory research study aimed at recording pathological mechano-acoustic signals from hospitalized patients with a chronic obstructive pulmonary disease (COPD) exacerbation, pneumonia, and acute decompensated heart failure. This unobtrusive wearable system can enable both episodic and longitudinal evaluation of lung sounds that allow for the early detection and/or ongoing monitoring of pulmonary disease. |
format |
article |
author |
Pranav Gupta Haoran Wen Lorenzo Di Francesco Farrokh Ayazi |
author_facet |
Pranav Gupta Haoran Wen Lorenzo Di Francesco Farrokh Ayazi |
author_sort |
Pranav Gupta |
title |
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
title_short |
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
title_full |
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
title_fullStr |
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
title_full_unstemmed |
Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
title_sort |
detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/2ffd02e57e1a48e9a432fe4d2a191086 |
work_keys_str_mv |
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