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The present and future of cough counting tools
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 …
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] Influence of cough airflow characteristics on respiratory mucus clearance
A cough is a respiratory reflex for respiratory mucus clearance. The cough airflow dynamics
can be characterized by three parameters, which are cough peak flow rate (CPFR), peak …
can be characterized by three parameters, which are cough peak flow rate (CPFR), peak …
[HTML][HTML] Advanced machine learning tools to monitor biomarkers of dysphagia: a wearable sensor proof-of-concept study
Introduction: Difficulty swallowing (dysphagia) occurs frequently in patients with neurological
disorders and can lead to aspiration, choking, and malnutrition. Dysphagia is typically …
disorders and can lead to aspiration, choking, and malnutrition. Dysphagia is typically …
[HTML][HTML] Automatic cough detection based on airflow signals for portable spirometry system
We give a short introduction to cough detection efforts that were undertaken during the last
decade and we describe the solution for automatic cough detection developed for the …
decade and we describe the solution for automatic cough detection developed for the …
Towards cough sound analysis using the internet of things and deep learning for pulmonary disease prediction
Cough is a symptom in over a hundred respiratory diseases. The audio features in cough
signals contain erudition about the predicament of the respiratory system. Using deep …
signals contain erudition about the predicament of the respiratory system. Using deep …
Automatic non-invasive cough detection based on accelerometer and audio signals
We present an automatic non-invasive way of detecting cough events based on both
accelerometer and audio signals. The acceleration signals are captured by a smartphone …
accelerometer and audio signals. The acceleration signals are captured by a smartphone …
An Accelerometer-Based Wearable Patch for Robust Respiratory Rate and Wheeze Detection Using Deep Learning
Wheezing is a critical indicator of various respiratory conditions, including asthma and
chronic obstructive pulmonary disease (COPD). Current diagnosis relies on subjective lung …
chronic obstructive pulmonary disease (COPD). Current diagnosis relies on subjective lung …
Deep neural network based cough detection using bed-mounted accelerometer measurements
We have performed cough detection based on measurements from an accelerometer
attached to the patient's bed. This form of monitoring is less intrusive than body-attached …
attached to the patient's bed. This form of monitoring is less intrusive than body-attached …
Statistical and machine learning-based recognition of coughing events using triaxial accelerometer sensor data from multiple wearable points
Recent studies have investigated the use of the accelerometer sensors in smartphones and
wearable devices for human activity recognition such as sitting, standing, walking, and …
wearable devices for human activity recognition such as sitting, standing, walking, and …