AIMC Topic: Cough
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The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.
Journal of voice : official journal of the Voice Foundation
Jun 15, 2022
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up ...
HearCough: Enabling continuous cough event detection on edge computing hearables.
Methods (San Diego, Calif.)
May 13, 2022
Cough event detection is the foundation of any measurement associated with cough, one of the primary symptoms of pulmonary illnesses. This paper proposes HearCough, which enables continuous cough event detection on edge computing hearables, by levera...
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC bioinformatics
Apr 19, 2022
BACKGROUND: Chronic cough affects approximately 10% of adults. The lack of ICD codes for chronic cough makes it challenging to apply supervised learning methods to predict the characteristics of chronic cough patients, thereby requiring the identific...
Soft Exoskeleton Mimics Human Cough for Assisting the Expectoration Capability of SCI Patients.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 18, 2022
UNLABELLED: This paper describes the design of a bionic soft exoskeleton and demonstrates its feasibility for assisting the expectoration function rehabilitation of patients with spinal cord injury (SCI).
Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.
Journal of voice : official journal of the Voice Foundation
Nov 26, 2021
Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effe...
COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models.
Computers in biology and medicine
Nov 10, 2021
Deep Learning shows promising performance in diverse fields and has become an emerging technology in Artificial Intelligence. Recent visual recognition is based on the ranking of photographs and the finding of artefacts in those images. The aim of th...
Diagnosis of Pneumonia by Cough Sounds Analyzed with Statistical Features and AI.
Sensors (Basel, Switzerland)
Oct 23, 2021
Pneumonia is a serious disease often accompanied by complications, sometimes leading to death. Unfortunately, diagnosis of pneumonia is frequently delayed until physical and radiologic examinations are performed. Diagnosing pneumonia with cough sound...
Identifying individuals with recent COVID-19 through voice classification using deep learning.
Scientific reports
Sep 27, 2021
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration ...
Wearable RF Near-Field Cough Monitoring by Frequency-Time Deep Learning.
IEEE transactions on biomedical circuits and systems
Sep 15, 2021
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various sizes containing bacterial and viral pathogens. Mild coughs are usually overlooked in the early stage, not only because they are barely noticeable by the ...
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Computer methods and programs in biomedicine
Sep 4, 2021
BACKGROUND AND OBJECTIVE: Chronic cough (CC) affects approximately 10% of adults. Many disease states are associated with chronic cough, such as asthma, upper airway cough syndrome, bronchitis, and gastroesophageal reflux disease. The lack of an ICD ...
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