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Non-invasive devices for respiratory sound monitoring.
| Content Provider | Europe PMC |
|---|---|
| Author | Troncoso, Ángela Ortega, Juan A. Seepold, Ralf Madrid, Natividad Martínez |
| Copyright Year | 2021 |
| Abstract | Respiratory diseases are leading causes of death and disability in the world. The recent COVID-19 pandemic is also affecting the respiratory system. Detecting and diagnosing respiratory diseases requires both medical professionals and the clinical environment. Most of the techniques used up to date were also invasive or expensive.Some research groups are developing hardware devices and techniques to make possible a non-invasive or even remote respiratory sound acquisition. These sounds are then processed and analysed for clinical, scientific, or educational purposes.We present the literature review of non-invasive sound acquisition devices and techniques.The results are about a huge number of digital tools, like microphones, wearables, or Internet of Thing devices, that can be used in this scope.Some interesting applications have been found. Some devices make easier the sound acquisition in a clinic environment, but others make possible daily monitoring outside that ambient. We aim to use some of these devices and include the non-invasive recorded respiratory sounds in a Digital Twin system for personalized health. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8504165&blobtype=pdf |
| Journal | Procedia Computer Science [Procedia Comput Sci] |
| Volume Number | 192 |
| DOI | 10.1016/j.procs.2021.09.076 |
| PubMed Central reference number | PMC8504165 |
| PubMed reference number | 34659594 |
| e-ISSN | 18770509 |
| Language | English |
| Publisher | The Author(s). Published by Elsevier B.V. |
| Publisher Date | 2021-10-01 |
| Access Restriction | Open |
| Rights License | 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. © 2021 The Author(s). Published by Elsevier B.V. |
| Subject Keyword | respiratory sounds non-invasive acquisition stethoscope Internet of Things smartphone wearable |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
