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1.
Archives of Health Science and Research ; 9(3):149-153, 2022.
Article in English | Scopus | ID: covidwho-2155639

ABSTRACT

The new coronavirus disease-2019 is clearly showing its effect in our country and around the world. Dizziness or balance disorder is defined as a clinical manifestation of COVID-19 as of 2020. Balance disorders should not be underestimated as they have been shown to be a notable clinical finding in coronavirus disea se-2019patients. Coronavirus disease-2019post-treatment and balance disorders should be thoroughly investigated. Non-specific symptoms, especially vestibular disorders, can be easily overlooked during evaluation. Therefore, this is a situation that requires attention in the clinic. The purpose of this review is to examine the studies in the literature on how the vestibular system is affected in people who are infected by coronavirus disease-2019. © 2022 AVES. All Rights Reserved.

2.
30th Signal Processing and Communications Applications Conference, SIU 2022 ; 2022.
Article in Turkish | Scopus | ID: covidwho-2052076

ABSTRACT

COVID-19 can directly or indirectly cause lung involvements by crossing the upper airways. It is essential to quickly detect the lung involvement condition and to follow up and treat these patients by early hospitalization. In recent COVID-19 diagnosis procedure, PCR testing is applied to the samples taken from the patients and a quarantine period is applied to the patient until the test results are received. As a complement to PCR tests and for faster diagnosis, thin-section lung computed tomography (CT) imaging is used in COVID-19 patients. In this study, it is aimed to develop a method that is as reliable as CT, and compared to CT, less risky, more accessible, and less costly for the diagnosis of COVID-19 disease. For this purpose, first speech and cough sounds from the oral, laryngeal and thoracic regions of COVID-19 patients and healthy individuals were obtained with the multi-channel voice recording system we proposed, the obtained data were processed with machine learning methods and their accuracies in COVID-19 diagnosis were presented comparatively. In our study, the best results were obtained with the features extracted from the cough sounds taken from the oral region. © 2022 IEEE.

3.
Archives of Health Science and Research ; 8(1):69-76, 2021.
Article in Turkish | Scopus | ID: covidwho-1733773

ABSTRACT

Social distance, quarantine measures, and the risk of infection during the new coronavirus pandemic have limited course of diagnosis, follow-up, and rehabilitation of patients with hearing loss. Audiologists are looking for innovative ways to meet the patients’ needs and to overcome these difficulties. Tele-audiology applications, supported by new technologies, can help reduce the risk of spreading the infection and maintain social distancing by avoiding direct patient contact. This review aims to examine the opportunities offered by tele-audiology applications to overcome the clinical difficulties caused by the need for social distancing and the pandemic. © 2022 Archives of Health Science and Research. All rights reserved.

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