TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Troncoso, Ángela
A1  - Ortega, Juan Antonio
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
T1  - Non-invasive devices for respiratory sound monitoring
T2  - Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021, 8 - 10 September 2021, Szczecin, Poland, (Procedia Computer Science)
N2  - 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.
KW  - Respiratory sounds
KW  - Wearable
KW  - Internet of Things
KW  - Non-invasive
KW  - Stethoscope
Y1  - 2021
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2021.09.076
DO  - https://doi.org/10.1016/j.procs.2021.09.076
VL  - 192
SP  - 3040
EP  - 3048
PB  - Elsevier
ER  -