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International Conference on Biomedical and Health Informatics

ICBHI 2019: Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices pp 342–348Cite as

Noise Reduction for Continuous Positive Airway Pressure Machine

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Part of the IFMBE Proceedings book series (IFMBE,volume 74)

Abstract

Continuous Positive Airway Pressure (CPAP) machine is a form of positive airway pressure ventilator, which utilizes mild air pressure on a continuous basis to keep the airways continuously open in people who are not able to breathe spontaneously on their own. The CPAP machine is widely used for sleep apnea patients. This paper presents the development of active noise control (ANC) system for reducing the noise from CPAP machine. By integrating loudspeaker and microphones, we develop feedback ANC structure and filtered-X least mean square (FXLMS) algorithm using the Texas Instrument (TI) TMS320C6713 starter kit. Real-time experimental results show that the proposed method reduces the noise of CPAP machine and achieves global cancellation of the noise.

Keywords

  • CPAP machine
  • Noise
  • ANC
  • FXLMS

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  • DOI: 10.1007/978-3-030-30636-6_47
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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Chung Yuan Christian University, Jhongli, Taoyuan, Taiwan

    Cheng-Yuan Chang, Sen M. Kuo & Xiu-Wei Liu

Authors
  1. Cheng-Yuan Chang
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  2. Sen M. Kuo
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  3. Xiu-Wei Liu
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Corresponding author

Correspondence to Cheng-Yuan Chang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan

    Prof. Kang-Ping Lin

  2. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Prof. Ratko Magjarevic

  3. Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Prof. Dr. Paulo de Carvalho

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The authors declare that they have no conflict of interest.

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Chang, CY., Kuo, S.M., Liu, XW. (2020). Noise Reduction for Continuous Positive Airway Pressure Machine. In: Lin, KP., Magjarevic, R., de Carvalho, P. (eds) Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices. ICBHI 2019. IFMBE Proceedings, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-030-30636-6_47

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  • DOI: https://doi.org/10.1007/978-3-030-30636-6_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30635-9

  • Online ISBN: 978-3-030-30636-6

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