Distant auscultation system for detecting lung sounds of patients on ambulances

Bing Yuh Lu; Ming Kwen Tsai; Jhen Chen Wang; Meng Lun Hsueh; Huey Dong Wu; Jin Shin Lai; Ya Fen Wu; Tzer En Nee

doi:10.23919/ICACT.2017.7890137

Distant auscultation system for detecting lung sounds of patients on ambulances

Bing Yuh Lu, Ming Kwen Tsai, Jhen Chen Wang, Meng Lun Hsueh, Huey Dong Wu, Jin Shin Lai, Ya Fen Wu, Tzer En Nee

Graduate Institute of Electro-Optical Engineering

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

Abstract

The sound of the siren of the ambulance is for the safety of the road transportation, but interferes the auscultation of the lung and heart sounds. The system implementation is included by (1) ACER Aspire 17 notebook as a server in right side; (2) HwaWei Amazing A6 smart mobile as a hot point in the middle; and (3) ACER Aspire 5 notebook as a client which the settings include IP address of host computer, and client, read and, write privileges of the data sockets, and running of NI data socket manager, and data socket server. Therefore, the parameters in the real-time DAS are verified as the better ones to prepare for the services on the ambulance.

Original language	English
Title of host publication	19th International Conference on Advanced Communications Technology
Subtitle of host publication	Opening Era of Smart Society, ICACT 2017 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	488-492
Number of pages	5
ISBN (Electronic)	9788996865094
DOIs	https://doi.org/10.23919/ICACT.2017.7890137
State	Published - 29 03 2017
Event	19th International Conference on Advanced Communications Technology, ICACT 2017 - Pyeongchang, Korea, Republic of Duration: 19 02 2017 → 22 02 2017

Publication series

Name	International Conference on Advanced Communication Technology, ICACT
ISSN (Print)	1738-9445

Conference

Conference	19th International Conference on Advanced Communications Technology, ICACT 2017
Country/Territory	Korea, Republic of
City	Pyeongchang
Period	19/02/17 → 22/02/17

Bibliographical note

Publisher Copyright:
© 2017 Global IT Research Institute - GiRI.

Keywords

Adaptive filter
Ambulance
Distant healthcare
Lung sound
Respiration

Access to Document

10.23919/ICACT.2017.7890137

Cite this

Lu, B. Y., Tsai, M. K., Wang, J. C., Hsueh, M. L., Wu, H. D., Lai, J. S., Wu, Y. F., & Nee, T. E. (2017). Distant auscultation system for detecting lung sounds of patients on ambulances. In 19th International Conference on Advanced Communications Technology: Opening Era of Smart Society, ICACT 2017 - Proceeding (pp. 488-492). Article 7890137 (International Conference on Advanced Communication Technology, ICACT). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICACT.2017.7890137

Lu, Bing Yuh ; Tsai, Ming Kwen ; Wang, Jhen Chen et al. / Distant auscultation system for detecting lung sounds of patients on ambulances. 19th International Conference on Advanced Communications Technology: Opening Era of Smart Society, ICACT 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 488-492 (International Conference on Advanced Communication Technology, ICACT).

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title = "Distant auscultation system for detecting lung sounds of patients on ambulances",

abstract = "The sound of the siren of the ambulance is for the safety of the road transportation, but interferes the auscultation of the lung and heart sounds. The system implementation is included by (1) ACER Aspire 17 notebook as a server in right side; (2) HwaWei Amazing A6 smart mobile as a hot point in the middle; and (3) ACER Aspire 5 notebook as a client which the settings include IP address of host computer, and client, read and, write privileges of the data sockets, and running of NI data socket manager, and data socket server. Therefore, the parameters in the real-time DAS are verified as the better ones to prepare for the services on the ambulance.",

keywords = "Adaptive filter, Ambulance, Distant healthcare, Lung sound, Respiration",

author = "Lu, {Bing Yuh} and Tsai, {Ming Kwen} and Wang, {Jhen Chen} and Hsueh, {Meng Lun} and Wu, {Huey Dong} and Lai, {Jin Shin} and Wu, {Ya Fen} and Nee, {Tzer En}",

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day = "29",

doi = "10.23919/ICACT.2017.7890137",

language = "英语",

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Lu, BY, Tsai, MK, Wang, JC, Hsueh, ML, Wu, HD, Lai, JS, Wu, YF & Nee, TE 2017, Distant auscultation system for detecting lung sounds of patients on ambulances. in 19th International Conference on Advanced Communications Technology: Opening Era of Smart Society, ICACT 2017 - Proceeding., 7890137, International Conference on Advanced Communication Technology, ICACT, Institute of Electrical and Electronics Engineers Inc., pp. 488-492, 19th International Conference on Advanced Communications Technology, ICACT 2017, Pyeongchang, Korea, Republic of, 19/02/17. https://doi.org/10.23919/ICACT.2017.7890137

Distant auscultation system for detecting lung sounds of patients on ambulances. / Lu, Bing Yuh; Tsai, Ming Kwen; Wang, Jhen Chen et al.
19th International Conference on Advanced Communications Technology: Opening Era of Smart Society, ICACT 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. p. 488-492 7890137 (International Conference on Advanced Communication Technology, ICACT).

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

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AU - Lu, Bing Yuh

AU - Tsai, Ming Kwen

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AU - Lai, Jin Shin

AU - Wu, Ya Fen

AU - Nee, Tzer En

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AB - The sound of the siren of the ambulance is for the safety of the road transportation, but interferes the auscultation of the lung and heart sounds. The system implementation is included by (1) ACER Aspire 17 notebook as a server in right side; (2) HwaWei Amazing A6 smart mobile as a hot point in the middle; and (3) ACER Aspire 5 notebook as a client which the settings include IP address of host computer, and client, read and, write privileges of the data sockets, and running of NI data socket manager, and data socket server. Therefore, the parameters in the real-time DAS are verified as the better ones to prepare for the services on the ambulance.

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Lu BY, Tsai MK, Wang JC, Hsueh ML, Wu HD, Lai JS et al. Distant auscultation system for detecting lung sounds of patients on ambulances. In 19th International Conference on Advanced Communications Technology: Opening Era of Smart Society, ICACT 2017 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2017. p. 488-492. 7890137. (International Conference on Advanced Communication Technology, ICACT). doi: 10.23919/ICACT.2017.7890137

Distant auscultation system for detecting lung sounds of patients on ambulances

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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