Healthcare sensors represent a valid and non-invasive instrument to capture and analyse
physiological data. Several vital signals, such as voice signals, can be acquired anytime and …

Purpose: To verify the self-perception of vocal fatigue and associated factors in university
professors in remote teaching during the COVID-19 pandemic. Methods: Cross-sectional …

Background Regarding human coronavirus, the severe acute respiratory syndrome
coronavirus 2 pandemic, the novelty of disease, and consequently the lack of studies, the …

As we continue adjusting to our new COVID-19 reality of remote work and virtual learning,
one of the last things we may be thinking about is our voice. We're relying on our voices …

Background: Artificial intelligence (AI) based models are explored increasingly in the
medical field. The highly contagious pandemic of coronavirus disease 2019 (COVID-19) …

Among the symptoms presented by patients with SARS-Cov-2 infection, we can find various
otorhinolaryngological alterations. Dysphonia appears in up to 79% of infected patients …

Purpose Dysphonia is a common symptom due to the coronavirus disease of the 2019
(COVID-19) infection. Nonetheless, it is often underestimated for its impact on human's …

Introduction The main objective of this study is to estimate the prevalence of persistent
dysphonia in hospitalised COVID-19 patients. Methods Data were collected from those …

Objective COVID‐19 has radically changed medical practice. The main objective of this
study was to assess the impact of surgical mask (SM) on voice quality analyzes in a group of …

Background: In Japan, individuals with mild COVID-19 illness previously required to be
monitored in designated areas and were hospitalized only if their condition worsened to …