Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse-Reference-Cited by-同舟云学术

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Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse

Published:2023-06-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
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Author:

Avila Kaye Antoinette V.¹,Cabrera Beatrice Corine R.¹,Reyes Rosula S. J.¹,Oppus Carlos M.¹

Affiliation:

1. Ateneo de Manila University,Department of Electronics, Computer and Communications Engineering,Quezon City,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218345/10218374/10218442.pdf?arnumber=10218442

Reference18 articles.

1. An Automatic Diagnosis of Arrhythmias Using a Combination of CNN and LSTM Technology

2. A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients

3. Early Pigs' Respiratory Disease Detection Using Edge Impulse;oduor;Arduino Project Hub,2022

4. Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks

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