[HTML][HTML] Chronic cough—the limitation and advances in assessment techniques
Accurate and consistent assessments of cough are essential to advance the understanding
of the mechanisms of cough and individualised the management of patients. Considerable …
of the mechanisms of cough and individualised the management of patients. Considerable …
The use of audio signals for detecting covid-19: A systematic review
A systematic review on the topic of automatic detection of COVID-19 using audio signals
was performed. A total of 48 papers were obtained after screening 659 records identified in …
was performed. A total of 48 papers were obtained after screening 659 records identified in …
Stay away from me: Coughing increases social distance even in a virtual environment
This study investigated whether the coughing behaviors of virtual agents encourage
infection avoidance behavior, ie, distancing behaviors. We hypothesized that the changes in …
infection avoidance behavior, ie, distancing behaviors. We hypothesized that the changes in …
Identifying unique spectral fingerprints in cough sounds for diagnosing respiratory ailments
Coughing, a prevalent symptom of many illnesses, including COVID-19, has led researchers
to explore the potential of cough sound signals for cost-effective disease diagnosis …
to explore the potential of cough sound signals for cost-effective disease diagnosis …
A review on lung disease recognition by acoustic signal analysis with deep learning networks
AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …
viable thanks in considerable portion to technologies like deep learning and machine …
Cough sounds in screening and diagnostics: a scoping review
S Hegde, S Sreeram, IL Alter, C Shor… - The …, 2024 - Wiley Online Library
Objective The aim of the study was to examine applications of cough sounds towards
screening tools and diagnostics in the biomedical and engineering literature, with particular …
screening tools and diagnostics in the biomedical and engineering literature, with particular …
Comparative analysis of deep learning models used in impact analysis of coronavirus chest X-ray imaging
MK Nallakaruppan, S Ramalingam, SRK Somayaji… - Biomedicines, 2022 - mdpi.com
The impact analysis of deep learning models for COVID-19-infected X-ray images is an
extremely challenging task. Every model has unique capabilities that can provide suitable …
extremely challenging task. Every model has unique capabilities that can provide suitable …
Classification of cough sounds using spectrogram methods and a parallel-stream one-dimensional deep convolutional neural network
Currently, a subjective method is used to diagnose cough sounds, particularly wet and dry
coughs, which can lead to incorrect diagnoses. In this study, novel emergent features were …
coughs, which can lead to incorrect diagnoses. In this study, novel emergent features were …
Dyspnea severity assessment based on vocalization behavior with deep learning on the telephone
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep
learning, is proposed. The method is based on modeling the spontaneous behavior of …
learning, is proposed. The method is based on modeling the spontaneous behavior of …
Smart devices are poised to revolutionize the usefulness of respiratory sounds
The association between breathing sounds and respiratory health or disease has been
exceptionally useful in the practice of medicine since the advent of the stethoscope. Remote …
exceptionally useful in the practice of medicine since the advent of the stethoscope. Remote …