Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

Possible use of phytochemicals for recovery from COVID-19-induced anosmia and ageusia

S Koyama, K Kondo, R Ueha, H Kashiwadani… - International Journal of …, 2021 - mdpi.com
The year 2020 became the year of the outbreak of coronavirus, SARS-CoV-2, which
escalated into a worldwide pandemic and continued into 2021. One of the unique symptoms …

[PDF][PDF] Clinical management of COVID-19: living guideline, 13 January 2023

World Health Organization - 2023 - apps.who.int
Post COVID-19 condition occurs in individuals with a history of probable or confirmed SARS-
CoV-2 infection, usually 3 months from the onset of COVID-19 with symptoms that last for at …

[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19

R Islam, E Abdel-Raheem, M Tarique - Biomedical Engineering Advances, 2022 - Elsevier
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …

Exploring automatic COVID-19 diagnosis via voice and symptoms from crowdsourced data

J Han, C Brown, J Chauhan… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
The development of fast and accurate screening tools, which could facilitate testing and
prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this context …

Identifying individuals with recent COVID-19 through voice classification using deep learning

P Suppakitjanusant, S Sungkanuparph, T Wongsinin… - Scientific Reports, 2021 - nature.com
Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …

[HTML][HTML] The voice of COVID-19: Acoustic correlates of infection in sustained vowels

KD Bartl-Pokorny, FB Pokorny, A Batliner… - The Journal of the …, 2021 - pubs.aip.org
COVID-19 is a global health crisis that has been affecting our daily lives throughout the past
year. The symptomatology of COVID-19 is heterogeneous with a severity continuum. Many …

A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data

VP Jayachitra, S Nivetha, R Nivetha, R Harini - … Signal Processing and …, 2021 - Elsevier
The COVID-19 emerged at the end of 2019 and has become a global pandemic. There are
many methods for COVID-19 prediction using a single modality. However, none of them …

Prevalence of dysphonia due to COVID-19 at Salahaddin General Hospital, Tikrit City, Iraq

RM Al-Ani, RA Rashid - American Journal of Otolaryngology, 2021 - Elsevier
Background Dysphonia is a feature of the COVID-19 disease with different prevalence rates
of occurrence among various nations. Objectives To determine the prevalence of dysphonia …