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A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital
OBJECTIVES: To characterize the frequencies of breathing sounds signals (BS) in COVID-19 patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope. METHODS: Prospective cohort study conducted during the first COVID-19 wave (April-August 2020) in Israel. COVID-19 patie...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234039/ https://www.ncbi.nlm.nih.gov/pubmed/35785024 http://dx.doi.org/10.1016/j.bspc.2022.103920 |
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author | Kasim, Nour Bachner-Hinenzon, Noa Brikman, Shay Cheshin, Ori Adler, Doron Dori, Guy |
author_facet | Kasim, Nour Bachner-Hinenzon, Noa Brikman, Shay Cheshin, Ori Adler, Doron Dori, Guy |
author_sort | Kasim, Nour |
collection | PubMed |
description | OBJECTIVES: To characterize the frequencies of breathing sounds signals (BS) in COVID-19 patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope. METHODS: Prospective cohort study conducted during the first COVID-19 wave (April-August 2020) in Israel. COVID-19 patients (n = 19) were validated by SARS-Cov-2 PCR test. The healthy control group was composed of 153 volunteers who stated that they were healthy. Power of BS was calculated in the frequency ranges of 0–20, 0–200, and 0–2000 Hz. RESULTS: The power calculated over frequency ranges 0–20, 20–200, and 200–2000 Hz contributed approximately 45%, 45%, and 10% to the total power calculated over the range 0–2000 Hz, respectively. Total power calculated from the right side of the back showed an increase of 45–80% during peak disease compared with the healthy controls (p < 0.05). The power calculated over the back, in the infrasound range, 0–20 Hz, and not in the 20–2000 Hz range, was greater for the healthy controls than for patients. Using all 3 ranges of frequencies for distinguishing peak disease from healthy controls resulted in sensitivity and specificity of 84% and 91%, respectively. Omitting the 0–20 Hz range resulted in sensitivity and specificity of 74% and 67%, respectively. DISCUSSION: The BS power acquired from COVID-19 patients at peak disease was significantly greater than that at pre-discharge from the hospital. The infrasound range had a significant contribution to the total power. Although the source of the infrasound is not presently clear, it may serve as an automated diagnostic tool when more clinical experience is gained with this method. |
format | Online Article Text |
id | pubmed-9234039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92340392022-06-27 A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital Kasim, Nour Bachner-Hinenzon, Noa Brikman, Shay Cheshin, Ori Adler, Doron Dori, Guy Biomed Signal Process Control Article OBJECTIVES: To characterize the frequencies of breathing sounds signals (BS) in COVID-19 patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope. METHODS: Prospective cohort study conducted during the first COVID-19 wave (April-August 2020) in Israel. COVID-19 patients (n = 19) were validated by SARS-Cov-2 PCR test. The healthy control group was composed of 153 volunteers who stated that they were healthy. Power of BS was calculated in the frequency ranges of 0–20, 0–200, and 0–2000 Hz. RESULTS: The power calculated over frequency ranges 0–20, 20–200, and 200–2000 Hz contributed approximately 45%, 45%, and 10% to the total power calculated over the range 0–2000 Hz, respectively. Total power calculated from the right side of the back showed an increase of 45–80% during peak disease compared with the healthy controls (p < 0.05). The power calculated over the back, in the infrasound range, 0–20 Hz, and not in the 20–2000 Hz range, was greater for the healthy controls than for patients. Using all 3 ranges of frequencies for distinguishing peak disease from healthy controls resulted in sensitivity and specificity of 84% and 91%, respectively. Omitting the 0–20 Hz range resulted in sensitivity and specificity of 74% and 67%, respectively. DISCUSSION: The BS power acquired from COVID-19 patients at peak disease was significantly greater than that at pre-discharge from the hospital. The infrasound range had a significant contribution to the total power. Although the source of the infrasound is not presently clear, it may serve as an automated diagnostic tool when more clinical experience is gained with this method. The Author(s). Published by Elsevier Ltd. 2022-09 2022-06-27 /pmc/articles/PMC9234039/ /pubmed/35785024 http://dx.doi.org/10.1016/j.bspc.2022.103920 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kasim, Nour Bachner-Hinenzon, Noa Brikman, Shay Cheshin, Ori Adler, Doron Dori, Guy A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title | A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title_full | A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title_fullStr | A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title_full_unstemmed | A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title_short | A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
title_sort | comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of covid-19 patients at peak disease, and pre-discharge from the hospital |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234039/ https://www.ncbi.nlm.nih.gov/pubmed/35785024 http://dx.doi.org/10.1016/j.bspc.2022.103920 |
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