The Acquisition and Short Time Fourier Transform of Lung Sounds

Feiba Chang; Jun Yin; Hehua Zhang; Anhai Wei; Zhenzhen Cao; Qinghua He; Yutian Bi

doi:doi:10.11648/j.ijics.20170204.13

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The Acquisition and Short Time Fourier Transform of Lung Sounds

Feiba Chang, Jun Yin, Hehua Zhang, Anhai Wei, Zhenzhen Cao, Qinghua He, Yutian Bi

Published in International Journal of Information and Communication Sciences (Volume 2, Issue 4)

Received: 12 September 2016 Accepted: 21 April 2017 Published: 23 October 2017

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Abstract

The paper designed a portable four-channel lung sounds acquisition system. The system first completed the lung sound signal amplifying, filtering and other pretreatment, then the lung sound signals of the pretreatment were sent to the external A/D chip for sampling, the acquisition of lung sound signals were saved as the. WAV audio file stored in the SD card, finally, using the short time Fourier transform to complete the time-frequency domain analysis of lung sound signals. Through the system can accurately detect the patient's lung sound signals, and using the stereo headphones can realize synchronous auscultation of the patient.

Published in	International Journal of Information and Communication Sciences (Volume 2, Issue 4)
DOI	10.11648/j.ijics.20170204.13
Page(s)	49-53
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Portable, Lung Sounds Acquisition, Short Time Fourier Transform, Time and Frequency Domain Analysis

References

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[2]	Murphy R. Computerized multichannel lung sound analysis. Development of acoustic instruments for diagnosis and management of medical conditions [J]. IEEE Engineering in Medicine & Biology Magazine, 2007, 26(1):16-19.
[3]	Noman Qaid Abdullah A. L. Naggar. Development of Computerized Recording Channel of Lung Sound [J]. Journal of Medical and Bioengineering (JOMB), 2012, 1(1): 52-55
[4]	Kandaswamy A, Kumar C S, Ramanathan R P, et al. Neural Classification Of Lung Sounds Using Wavelet Coefficients [J]. Computers in Biology & Medicine, 2004, 34(6):523-537.
[5]	Spieth P M, Zhang H. Analyzing lung crackle sounds: stethoscopes and beyond [J]. European Journal of Intensive Care Medicine, 2011, 37(8):1238-1239.
[6]	Pasterkamp H, Kraman S S, Wodicka G R. Respiratory sounds. Advances beyond the stethoscope [J]. American Journal of Respiratory & Critical Care Medicine, 1997, 156(3):974-87.
[7]	Sathesh K, Muniraj N J R. REAL TIME HEART AND LUNG SOUND SEPARATION USING ADAPTIVE LINE ENHANCER WITH NLMS [J]. Journal of Theoretical & Applied Information Technology, 2014.65(2):559-564
[8]	Inan Guler, Polat H, Ergun U. Combining neural network and genetic algorithm for prediction of lung sounds [J]. Journal of Medical Systems, 2005, 29(3):217-231.
[9]	Sathesh K, Muniraj N J R. Separation of Real Time Heart Sound Signal from Lung Sound Signal Using Neural Network [M] // Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2014:284-291.
[10]	Sathesh K, Muniraj N J. Heart sound signal separation from lung sound signal at real time using radial basis function network [J]. International Journal of Applied Engineering Research, 2015, 10(8):20509-20516.
[11]	Sathesh K, Muniraj N J. Heart sound signal separation from lung sound signal at real time using radial basis function network [J]. International Journal of Applied Engineering Research, 2015, 10(8):20509-20516.

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APA Style

Feiba Chang, Jun Yin, Hehua Zhang, Anhai Wei, Zhenzhen Cao, et al. (2017). The Acquisition and Short Time Fourier Transform of Lung Sounds. International Journal of Information and Communication Sciences, 2(4), 49-53. https://doi.org/10.11648/j.ijics.20170204.13

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ACS Style

Feiba Chang; Jun Yin; Hehua Zhang; Anhai Wei; Zhenzhen Cao, et al. The Acquisition and Short Time Fourier Transform of Lung Sounds. Int. J. Inf. Commun. Sci. 2017, 2(4), 49-53. doi: 10.11648/j.ijics.20170204.13

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AMA Style

Feiba Chang, Jun Yin, Hehua Zhang, Anhai Wei, Zhenzhen Cao, et al. The Acquisition and Short Time Fourier Transform of Lung Sounds. Int J Inf Commun Sci. 2017;2(4):49-53. doi: 10.11648/j.ijics.20170204.13

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@article{10.11648/j.ijics.20170204.13,
  author = {Feiba Chang and Jun Yin and Hehua Zhang and Anhai Wei and Zhenzhen Cao and Qinghua He and Yutian Bi},
  title = {The Acquisition and Short Time Fourier Transform of Lung Sounds},
  journal = {International Journal of Information and Communication Sciences},
  volume = {2},
  number = {4},
  pages = {49-53},
  doi = {10.11648/j.ijics.20170204.13},
  url = {https://doi.org/10.11648/j.ijics.20170204.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20170204.13},
  abstract = {The paper designed a portable four-channel lung sounds acquisition system. The system first completed the lung sound signal amplifying, filtering and other pretreatment, then the lung sound signals of the pretreatment were sent to the external A/D chip for sampling, the acquisition of lung sound signals were saved as the. WAV audio file stored in the SD card, finally, using the short time Fourier transform to complete the time-frequency domain analysis of lung sound signals. Through the system can accurately detect the patient's lung sound signals, and using the stereo headphones can realize synchronous auscultation of the patient.},
 year = {2017}
}

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TY  - JOUR
T1  - The Acquisition and Short Time Fourier Transform of Lung Sounds
AU  - Feiba Chang
AU  - Jun Yin
AU  - Hehua Zhang
AU  - Anhai Wei
AU  - Zhenzhen Cao
AU  - Qinghua He
AU  - Yutian Bi
Y1  - 2017/10/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ijics.20170204.13
DO  - 10.11648/j.ijics.20170204.13
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 49
EP  - 53
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20170204.13
AB  - The paper designed a portable four-channel lung sounds acquisition system. The system first completed the lung sound signal amplifying, filtering and other pretreatment, then the lung sound signals of the pretreatment were sent to the external A/D chip for sampling, the acquisition of lung sound signals were saved as the. WAV audio file stored in the SD card, finally, using the short time Fourier transform to complete the time-frequency domain analysis of lung sound signals. Through the system can accurately detect the patient's lung sound signals, and using the stereo headphones can realize synchronous auscultation of the patient.
VL  - 2
IS  - 4
ER  -

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Author Information

Feiba Chang

Medical Engineering Department, Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing, PR China
Jun Yin

Medical Engineering Department, Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing, PR China
Hehua Zhang

Medical Engineering Department, Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing, PR China
Anhai Wei

Medical Engineering Department, Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing, PR China
Zhenzhen Cao

Medical Engineering Department, Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing, PR China
Qinghua He

State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Surgery Institute of the Third Military Medical University, Chongqing, PR China
Yutian Bi

State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Surgery Institute of the Third Military Medical University, Chongqing, PR China

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Plain Text BibTeX RIS

APA Style

Feiba Chang, Jun Yin, Hehua Zhang, Anhai Wei, Zhenzhen Cao, et al. (2017). The Acquisition and Short Time Fourier Transform of Lung Sounds. International Journal of Information and Communication Sciences, 2(4), 49-53. https://doi.org/10.11648/j.ijics.20170204.13

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ACS Style

Feiba Chang; Jun Yin; Hehua Zhang; Anhai Wei; Zhenzhen Cao, et al. The Acquisition and Short Time Fourier Transform of Lung Sounds. Int. J. Inf. Commun. Sci. 2017, 2(4), 49-53. doi: 10.11648/j.ijics.20170204.13

Copy | Download

AMA Style

Feiba Chang, Jun Yin, Hehua Zhang, Anhai Wei, Zhenzhen Cao, et al. The Acquisition and Short Time Fourier Transform of Lung Sounds. Int J Inf Commun Sci. 2017;2(4):49-53. doi: 10.11648/j.ijics.20170204.13

Copy | Download

@article{10.11648/j.ijics.20170204.13,
  author = {Feiba Chang and Jun Yin and Hehua Zhang and Anhai Wei and Zhenzhen Cao and Qinghua He and Yutian Bi},
  title = {The Acquisition and Short Time Fourier Transform of Lung Sounds},
  journal = {International Journal of Information and Communication Sciences},
  volume = {2},
  number = {4},
  pages = {49-53},
  doi = {10.11648/j.ijics.20170204.13},
  url = {https://doi.org/10.11648/j.ijics.20170204.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20170204.13},
  abstract = {The paper designed a portable four-channel lung sounds acquisition system. The system first completed the lung sound signal amplifying, filtering and other pretreatment, then the lung sound signals of the pretreatment were sent to the external A/D chip for sampling, the acquisition of lung sound signals were saved as the. WAV audio file stored in the SD card, finally, using the short time Fourier transform to complete the time-frequency domain analysis of lung sound signals. Through the system can accurately detect the patient's lung sound signals, and using the stereo headphones can realize synchronous auscultation of the patient.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Acquisition and Short Time Fourier Transform of Lung Sounds
AU  - Feiba Chang
AU  - Jun Yin
AU  - Hehua Zhang
AU  - Anhai Wei
AU  - Zhenzhen Cao
AU  - Qinghua He
AU  - Yutian Bi
Y1  - 2017/10/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ijics.20170204.13
DO  - 10.11648/j.ijics.20170204.13
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 49
EP  - 53
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20170204.13
AB  - The paper designed a portable four-channel lung sounds acquisition system. The system first completed the lung sound signal amplifying, filtering and other pretreatment, then the lung sound signals of the pretreatment were sent to the external A/D chip for sampling, the acquisition of lung sound signals were saved as the. WAV audio file stored in the SD card, finally, using the short time Fourier transform to complete the time-frequency domain analysis of lung sound signals. Through the system can accurately detect the patient's lung sound signals, and using the stereo headphones can realize synchronous auscultation of the patient.
VL  - 2
IS  - 4
ER  -

Copy | Download