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Reducing the Ambulance Siren Noise for Distant Auscultation of the Lung Sound

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Abstract

Ambulance sirens sound very loud for transportation safety. However, loud sounds interfere with the auscultation of lung sounds. This study proposed an auscultation system that includes (1) an ACER Aspire 17 notebook as a server; (2) a smart mobile as a wireless hotspot (HwaWei Amazing A6); and (3) an ACER Aspire 5 notebook as a client. National Instruments data socket software gives read and write privileges to the IP addresses of the server and client. This real-world distant auscultation system works. The real-time adaptive filter reduced siren noise of 60 dB in power intensity. Surprisingly, a previous simulation of the adaptive filter had performed a noise reduction of 60 dB. Therefore, this real-time remote auscultation system is a reliable device for the ambulance service.

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Acknowledgements

The authors thank the reviewers for valuable comments, and Professor Gwo-Ching Chang (Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan, the Republic of China) for providing sound data. Furthermore, the authors appreciate the project numbers MOST 103-2221-E-236-001, Ministry of Science and Technology, Taiwan, Republic of China, for the supports of this study.

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Authors and Affiliations

  1. Department of Electronic Engineering, Tungnan University, New Taipei City, Taiwan, ROC

    Bing-Yuh Lu

  2. Department of Electronic Engineering, Hwa Hsia University of Technology, New Taipei City, Taiwan, ROC

    Meng-Lun Hsueh

  3. Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan, ROC

    Huey-Dong Wu

Authors
  1. Bing-Yuh Lu
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  2. Meng-Lun Hsueh
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  3. Huey-Dong Wu
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Correspondence to Bing-Yuh Lu.

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Lu, BY., Hsueh, ML. & Wu, HD. Reducing the Ambulance Siren Noise for Distant Auscultation of the Lung Sound. Acoust Aust 45, 381–387 (2017). https://doi.org/10.1007/s40857-017-0109-4

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  • DOI: https://doi.org/10.1007/s40857-017-0109-4

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