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

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

doi:10.1109/ECBIOS57802.2023.10218442

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

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

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-26
Number of pages	6
ISBN (Electronic)	9798350320978
DOIs	https://doi.org/10.1109/ECBIOS57802.2023.10218442
State	Published - 2023
Event	5th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023 - Tainan, Taiwan, Province of China Duration: Jun 2 2023 → Jun 4 2023

Publication series

Name	2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023

Conference

Conference	5th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023
Country/Territory	Taiwan, Province of China
City	Tainan
Period	6/2/23 → 6/4/23

ASJC Scopus Subject Areas

Information Systems and Management
Renewable Energy, Sustainability and the Environment
Automotive Engineering
Health Informatics
Pharmaceutical Science
Health(social science)

Keywords

LSTM
automated lung auscultation
edge impulse
lung sound classification
pulmonary monitoring
recurrent neural network

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ECBIOS57802.2023.10218442

Cite this

Avila, K. A. V., Cabrera, B. C. R., Reyes, R. S. J., & Oppus, C. M. (2023). Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse. In T.-H. Meen (Ed.), 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023 (pp. 21-26). (2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECBIOS57802.2023.10218442

Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse. / Avila, Kaye Antoinette V.; Cabrera, Beatrice Corine R.; Reyes, Rosula S.J. et al.
2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2023. p. 21-26 (2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Avila, KAV, Cabrera, BCR, Reyes, RSJ & Oppus, CM 2023, Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse. in T-H Meen (ed.), 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023. 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 21-26, 5th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023, Tainan, Taiwan, Province of China, 6/2/23. https://doi.org/10.1109/ECBIOS57802.2023.10218442

Avila KAV, Cabrera BCR, Reyes RSJ , Oppus CM. Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse. In Meen TH, editor, 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 21-26. (2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023). doi: 10.1109/ECBIOS57802.2023.10218442

Avila, Kaye Antoinette V. ; Cabrera, Beatrice Corine R. ; Reyes, Rosula S.J. et al. / Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse. 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 21-26 (2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023).

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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

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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