[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 …
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
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
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 …
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 …
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
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 …
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 …
human input to determine cough frequency. However, over the last two decades advances …
Vocalsound: A dataset for improving human vocal sounds recognition
Recognizing human non-speech vocalizations is an important task and has broad
applications such as automatic sound transcription and health condition monitoring …
applications such as automatic sound transcription and health condition monitoring …
Environment knowledge-driven generic models to detect coughs from audio recordings
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 …
asthma, which are often characterized by some common symptoms, including coughing …
[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 …
Data mining on smartphones: An introduction and survey
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 …
commonly executed on cloud computing resources, personal computers and laptops …