Deep neural network based cough detection using bed-mounted accelerometer measurements

M Pahar, I Miranda, A Diacon… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
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 …

Automatic non-invasive cough detection based on accelerometer and audio signals

M Pahar, I Miranda, A Diacon, T Niesler - Journal of Signal Processing …, 2022 - Springer
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 …

Investigating the relationship between cough detection and sampling frequency for wearable devices

M Abdelkhalek, J Qiu, M Hernandez… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Cough detection can provide an important marker to monitor chronic respiratory conditions.
However, manual techniques which require human expertise to count coughs are both …

Towards device-agnostic mobile cough detection with convolutional neural networks

F Barata, K Kipfer, M Weber, P Tinschert… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Ubiquitous mobile devices have the potential to reduce the financial burden of healthcare
systems by providing scalable and cost-efficient health monitoring applications. Coughing is …

A novel automatic cough frequency monitoring system combining a triaxial accelerometer and a stretchable strain sensor

T Otoshi, T Nagano, S Izumi, D Hazama… - Scientific Reports, 2021 - nature.com
Objective evaluations of cough frequency are considered important for assessing the clinical
state of patients with respiratory diseases. However, cough monitors with audio recordings …

Coughwatch: Real-world cough detection using smartwatches

D Liaqat, S Liaqat, JL Chen, T Sedaghat… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Continuous monitoring of cough may provide insights into the health of individuals as well
as the effectiveness of treatments. Smart-watches, in particular, are highly promising for such …

[HTML][HTML] Validation of a small cough detector

M Kuhn, E Nalbant, D Kohlbrenner, M Alge… - ERJ Open …, 2023 - Eur Respiratory Soc
Research question The assessment of cough frequency in clinical practice relies
predominantly on the patient9s history. Currently, objective evaluation of cough is feasible …

Towards a wearable cough detector based on neural networks

P Kadambi, A Mohanty, H Ren, J Smith… - … , Speech and Signal …, 2018 - ieeexplore.ieee.org
Persistent cough is a symptom common to a number of respiratory disorders; however,
reliable monitoring of cough frequency and cough severity over an extended period of time …

Coughbuddy: Multi-modal cough event detection using earbuds platform

E Nemati, S Zhang, T Ahmed… - 2021 IEEE 17th …, 2021 - ieeexplore.ieee.org
There has been an extensive amount of study on cough detection using acoustic features
captured from smartphones and smartwatches in the past decade. However, the specificity …

Can machine learning be used to recognize and diagnose coughs?

C Bales, M Nabeel, CN John, U Masood… - … Conference on e …, 2020 - ieeexplore.ieee.org
Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the
forefront, one of the most prominent being machine learning empowered health care. One of …