[HTML][HTML] Home monitoring in interstitial lung diseases

MS Wijsenbeek, CC Moor, KA Johannson… - The Lancet …, 2023 - thelancet.com
The widespread use of smartphones and the internet has enabled self-monitoring and more
hybrid-care models. The COVID-19 pandemic has further accelerated remote monitoring …

[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey

A Ijaz, M Nabeel, U Masood, T Mahmood… - Informatics in Medicine …, 2022 - Elsevier
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

Past and trends in cough sound acquisition, automatic detection and automatic classification: A comparative review

A Serrurier, C Neuschaefer-Rube, R Röhrig - Sensors, 2022 - mdpi.com
Cough is a very common symptom and the most frequent reason for seeking medical advice.
Optimized care goes inevitably through an adapted recording of this symptom and automatic …

Making cough count in tuberculosis care

AJ Zimmer, C Ugarte-Gil, R Pathri, P Dewan… - Communications …, 2022 - nature.com
Cough assessment is central to the clinical management of respiratory diseases, including
tuberculosis (TB), but strategies to objectively and unobtrusively measure cough are lacking …

Deep learning and internet of things based lung ailment recognition through coughing spectrograms

A Kumar, K Abhishek, C Chakraborty… - IEEE Access, 2021 - ieeexplore.ieee.org
Coughing analysis stays a region that has gotten meager consideration from AI scientists.
This can be credited to a few factors, for example, wasteful auxiliary frameworks, high costs …

[HTML][HTML] The present and future of cough counting tools

JI Hall, M Lozano, L Estrada-Petrocelli… - Journal of thoracic …, 2020 - ncbi.nlm.nih.gov
The widespread use of cough counting tools has, to date, been limited by a reliance on
human input to determine cough frequency. However, over the last two decades advances …

Vocalsound: A dataset for improving human vocal sounds recognition

Y Gong, J Yu, J Glass - ICASSP 2022-2022 IEEE International …, 2022 - ieeexplore.ieee.org
Recognizing human non-speech vocalizations is an important task and has broad
applications such as automatic sound transcription and health condition monitoring …

Environment knowledge-driven generic models to detect coughs from audio recordings

S Vhaduri, SV Dibbo, Y Kim - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Goal: Millions of people are dying due to respiratory diseases, such as COVID-19 and
asthma, which are often characterized by some common symptoms, including coughing …

[HTML][HTML] Chronic cough—the limitation and advances in assessment techniques

M Zhang, DL Sykes, K Brindle… - Journal of Thoracic …, 2022 - ncbi.nlm.nih.gov
Accurate and consistent assessments of cough are essential to advance the understanding
of the mechanisms of cough and individualised the management of patients. Considerable …

Data mining on smartphones: An introduction and survey

D Yates, MZ Islam - ACM Computing Surveys, 2022 - dl.acm.org
Data mining is the science of extracting information or “knowledge” from data. It is a task
commonly executed on cloud computing resources, personal computers and laptops …