Automatic discrimination between cough and non-cough accelerometry signal artefacts-Reference-Cited by-同舟云学术

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Automatic discrimination between cough and non-cough accelerometry signal artefacts

Published:2019-07 Issue: Volume:52 Page:394-402
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Mohammadi Helia,Samadani Ali-Akbar,Steele Catriona,Chau Tom^ORCID

Funder

Natural Sciences & Engineering Research Council of Canada

J.L. (Allen) Yen Scholarship

Walter C. Sumner Memorial Fellowship

Ewing Rae Graduate Scholarship

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference46 articles.

1. Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions;Vizel;Cough,2010

2. Electronic cough monitor;Hassan;Am. J. Biomed. Eng.,2012

3. CICADA: Cough in Children and Adults: Diagnosis and Assessment. Australian Cough Guidelines summary statement;Gibson;Med. J. Aust.,2010

4. Cough and aspiration of food and liquids due to oral-pharyngeal dysphagia: ACCP evidence-based clinical practice guidelines;Hammond;Chest,2006

5. Clinical assessment of chronic cough severity;Raj;Pulm. Pharmacol. Ther.,2007

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1. Cough Detection Using Acceleration Signals and Deep Learning Techniques;Electronics;2024-06-20

2. Feature evaluation of accelerometry signals for cough detection;Frontiers in Digital Health;2024-03-22

3. An Accelerometer-Based Wearable Patch for Robust Respiratory Rate and Wheeze Detection Using Deep Learning;Biosensors;2024-02-22

4. Assessing the Feasibility of Cough Detection Using Statistical Features Extracted from Accelerometry Data;IFMBE Proceedings;2024

5. Machine Learning Based Approaches for Cough Detection From Acceleration Signal;2023 International Conference on Cyberworlds (CW);2023-10-03

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