Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review

Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review

Respiratory diseases represent a significant global burden, necessitating efficient diagnostic methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound from the upper and lower respiratory system, as well as the voice, have emerged as valuable indicators of respirator...

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Bibliographic Details
Main Authors: Panagiotis Kapetanidis, Fotios Kalioras, Constantinos Tsakonas, Pantelis Tzamalis, George Kontogiannis, Theodora Karamanidou, Thanos G. Stavropoulos, Sotiris Nikoletseas
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
respiratory symptoms
respiratory disease
audio analysis
signal processing
machine learning
digital biomarkers
Online Access:https://www.mdpi.com/1424-8220/24/4/1173

Internet

https://www.mdpi.com/1424-8220/24/4/1173

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