Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Sensing devices for detecting and processing acoustic signals in healthcare

Articolo
Data di Pubblicazione:
2022
Abstract:
Acoustic signals are important markers to monitor physiological and pathological conditions, e.g., heart and respiratory sounds. The employment of traditional devices, such as stethoscopes, has been progressively superseded by new miniaturized devices, usually identified as microelectromechanical systems (MEMS). These tools are able to better detect the vibrational content of acoustic signals in order to provide a more reliable description of their features (e.g., amplitude, frequency bandwidth). Starting from the description of the structure and working principles of MEMS, we provide a review of their emerging applications in the healthcare field, discussing the advantages and limitations of each framework. Finally, we deliver a discussion on the lessons learned from the literature, and the open questions and challenges in the field that the scientific community must address in the near future.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Healthcare; Accelerometers; Mems; Monitoring; Acoustic signals
Elenco autori:
LA ROSA, Davide; Crivello, Antonino
Autori di Ateneo:
CRIVELLO ANTONINO
LA ROSA DAVIDE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/414431
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/414431/71418/prod_471904-doc_191895.pdf
Pubblicato in:
BIOSENSORS (BASEL)
Journal
  • Dati Generali

Dati Generali

URL

https://www.mdpi.com/2079-6374/12/10/835
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)