Skip to main content

Towards an ARM based low cost and mobile biomedical device test bed for improved multi-channel pulmonary diagnosis

  • Conference paper
4th European Conference of the International Federation for Medical and Biological Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 22))

Abstract

In this paper, we present our research results towards developing an ARM9 based biomedical device for multi-channel pulmonary diagnosis. There is a vast literature on analysis of pulmonary sounds, and related diagnosis procedures. Most of the reported results are based on using either desktop sized or handheld sized computers. Compared to these, the system proposed in this paper has several advantages, which include being low cost, low power, mobile, and compact. The proposed ARM9 based system has analog and digital subsystems. Analog front end, including filtering stages, overall computer system architecture, and software development procedures are described in detail. To assess the computational capabilities of the system, FFT benchmark tests are done, and performance of the system is analyzed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. WARIS, M., HELISTÖ, P., HALTSONEN, S., SAARINEN, A., and SOVIJÄRVI, A.R.A., “A New Method for Automatic Wheeze Detection”, Technology and Health Care, 6, p 33–40, 1998.

    Google Scholar 

  2. JANÉ, R., SALVATELLA, D., FIZ, J.A., MORERA, J., “Spectral analysis of respiratory sounds to assess bronchodilator effect in asthmatic patients”, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol:20, n:6, 29 Oct.–1 Nov. 1998, p 3203–3206.

    Google Scholar 

  3. GROSS, V., DITTMAR, A., PENZEL, T., SCHÜTTLER, F., and VON WITCHERT, P., “Classification of Asthmatic Breath Sounds: Preliminary Results of the Classifying Capacity of Human Examiners Versus Artificial Neural Networks”, Am J Respir Crit Care Med., 162, p 905–909, 2000.

    Google Scholar 

  4. SANCHEZ, I., VIZCAYA, C., GARCIA, D., and CAMPOS, E., “Response to bronchodilator in infants with bronchiolitis can be predicted from wheeze characteristics”, Respirology, 10, p 603–608, 2005.

    Article  Google Scholar 

  5. PESU, L., HELISTÖ, P., ADEMOVIC, E., PESQUET, J.C., SAARINEN, A., and SOVIJÄRVI, A.R.A., “Classification of Respiratory Sounds Based on Wavelet Packet Decomposition and Learning Vector Quantization”, Technology and Health Care, 6, p 65–74, 1998.

    Google Scholar 

  6. SOVIJÄRVI, A.R.A., MALMBERG, P., PAAJANEN, E., PIIRILÄ, P., and KALLIO, K., “Averaged and Time-Gated Spectral Analysis of Respiratory Sounds. Repeatability of Spectral Parameters in Healthy Men and in Patients with Fibrosing Alveolitis”, Chest, 109, p 1283–1290, 1996.

    Article  Google Scholar 

  7. OUD, M., DOOIJES, E.H., and JARING, S., ZEE, V.D.,“Asthmatic Airways Obstruction Assessment Based on detailed analysis of respiratory sound spectra”, IEEE transactions on biomedical engineering, vol:47, no:11, p 1450–1455, 2000.

    Article  Google Scholar 

  8. HOMS-CORBERA, A., FIZ, J.A., MORERA, J., JANÉ, R, “Time-Frequency Detection and Analysis of Wheezes during Forced Exhalation, IEEE Transactions on Biomedical Engineering, vol:51, No:1, p 182–186, 2004.

    Article  Google Scholar 

  9. HOMS-CORBERA, A., JANÉ, R., FIZ, J.A., MORERA, J., “Algorithm for time-frequency detection and analysis of wheezes”, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol:4, 23–28 July 2000, p 2977–2980.

    Google Scholar 

  10. FIZ, J.A., JANÉ, R., HOMS-CORBERA, A., IZQUIERDO, J., GARCIA, M.A., MORERA, J., “Detection of Wheezing During Maximal Forced Exhalation in Patients with Obstructed Airways”, Chest, 122, p 186–191, 2002.

    Article  Google Scholar 

  11. CORTÉS, S., JANÉ, R., FIZ, J.A., MORERA, J., “Monitoring of wheeze duration during spontaneous respiration in asthmatic patients”, Proceedings of the 27th Annual International Conference of the IEEE-EMBS Engineering in Medicine and Biology Society, 01–04 Sept. 2005, Shanghai, China, p 6141–6144,.

    Google Scholar 

  12. FIZ, J.A., JANÉ, R., SALVATELLA, D., IZQUIERDO, J., LORES, L., CAMINAL, P., MORERA, J., “Analysis of Tracheal Sounds during Forced Exhalation in Asthma Patients and Normal Subjects: Bronchodilator Response Effect”, Chest, vol: 116, p 633–638, 1999.

    Article  Google Scholar 

  13. ADEMOVIC, E., PESQUET J.C., and CHARBONNEAU, G., “Wheezing lung sounds analysis with adaptive local trigonometric transform”, Technology and Health Care, 6, p 41–51, 1998.

    Google Scholar 

  14. MOUSSAVI, Z.; “Vocal noise cancellation from respiratory sounds”, Proceedings of the 23rd Annual International Conference of the IEEE-EMBS Engineering in Medicine and Biology Society, Vol:3, 25–28 Oct. 2001, İstanbul, Turkey, p 2201–2203.

    Article  Google Scholar 

  15. Analog Devices SSM2019 product data sheet.

    Google Scholar 

  16. Analog Devices AD1974 product data sheet.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Çatmakaş, Z., Köse, İ.H., Toker, O., Öz, H.R. (2009). Towards an ARM based low cost and mobile biomedical device test bed for improved multi-channel pulmonary diagnosis. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_265

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89208-3_265

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89207-6

  • Online ISBN: 978-3-540-89208-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics