Ponencia
Non-invasive devices for respiratory sound monitoring
Autor/es | Troncoso, Ángela
Ortega Ramírez, Juan Antonio Seepold, Ralf Martínez Madrid, Natividad |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2021 |
Fecha de depósito | 2022-06-27 |
Publicado en |
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ISBN/ISSN | 1877-0509 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Ciencia, Innovación y Universidades (MICINN). España |
Identificador del proyecto | PGC2018-102145-B-C21
PGC2018-102145-B-C22 |
Cita | Troncoso, Á., Ortega Ramírez, J.A., Seepold, R. y Martínez Madrid, N. (2021). Non-invasive devices for respiratory sound monitoring. En KES 2021: 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (3040-3048), Szczecin, Poland: Elsevier. |
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