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Estimation of Instantaneous Bandwidth and Reconstruction of Noisy ECG Signal Measured by a 24- Hour Continuous Healthcare System for the Elderly and People with Disabilities

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Aging Friendly Technology for Health and Independence (ICOST 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6159))

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Abstract

In this manuscript, a case study is conducted on bio-signals of timevarying spectral content with the purpose of developing a quality of life engineering product. The study deals with noise reduction of electrocardiogram (ECG) for detecting abnormality of the heart system during daily life. Instantaneous bandwidth (IB) of ECG is estimated and is used adaptively as IB of variable bandwidth filter (VBF) for suppressing noise whose Fourier spectrum overlaps with that of ECG and estimating more accurately parameters such as onsets, ends, rates, intervals and durations on the six principal waves of ECG measured during daily life. The proposed method based on the VBF improves the SNR on the P, Q and T waves without damaging the QRS complex, different from, the methods based on the Fourier spectral analysis.

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References

  1. Otto, C., Milenkovic, A., Sanders, C., Jovanov, E.: System architecture of a wireless body area sensor network for ubiquitous health monitoring. J. Mobile Multimedia 1, 307–326 (2006)

    Google Scholar 

  2. Milenkovic, A., Otto, C., Jovanov, E.: Wireless sensor networks for personal health monitoring: issues and an implementation. Computer Communications 29, 2521–2533 (2006)

    Article  Google Scholar 

  3. Stridh, M., Sornmo, L., Meurling, C.J., Olsson, S.B.: Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties. IEEE Tr. on Biomedical Engineering 48, 19–27 (2001)

    Article  Google Scholar 

  4. Lee, H., Kim, Y., Jung, J.-W., Park, K.-H., Kim, D.-J., Bang, B., Bien, Z.: A 24-hour health monitoring system in a smart house. Gerontechnology 7, 22–35 (2008)

    Article  Google Scholar 

  5. Raskin, J.-P., Brown, A.R., Khuri-Yakub, B.T., Rebeiz, G.M.: A novel parametric-effect MEMS amplifier. J. Microelectromechanical Systems 9, 528–537 (2000)

    Article  Google Scholar 

  6. Girbau, D., Otegi, N., Pradell, L., Lazaro, A.: Study of intermodulation in RF MEMS variable capacitors. IEEE Tr. on Microwave Theory and Techniques 54, 1120–1130 (2006)

    Article  Google Scholar 

  7. Arfken, G.B., Weber, H.J.: Mathematical Methods for Physicists. Academic Press, London (1995)

    Google Scholar 

  8. Almeida, R., Gouveia, S., Rocha, A.P., Pueyo, E., Martinez, J.P., Laguna, P.: QT variability and HRV interactions in ECG: quantification and reliability. IEEE Tr. on Biomedical Engineering 53, 1317–1329 (2006)

    Article  Google Scholar 

  9. Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology, “Heart rate variability,”. European Heart Journal 17, 354–381 (1996)

    Google Scholar 

  10. Link, A., Endt, P., Steinhoff, U., Goedde, P., Trahms, L.: Analysis of QRS shape variability and short-term heart rate variability of CAD patients. Computers in Cardiology 25, 385–388 (1998)

    Google Scholar 

  11. Barros, A.K., Ohnishi, N.: Heart instantaneous frequency (HIF): an alternative approach to extract heart rate variability. IEEE Tr. on Biomedical Engineering 48, 850–855 (2001)

    Article  Google Scholar 

  12. Kotani, K., Hidaka, I., Yamamoto, Y., Ozono, S.: Analysis of respiratory sinus arrhythmia with respect to respiratory phase. Methods of Information in Medicine 39, 153–156 (2000)

    Google Scholar 

  13. Ziarani, A.K., Konrad, A.: A nonlinear adaptive method of elimination of power line interference in ECG signals. IEEE Tr. on Biomedical Engineering 49, 540–547 (2002)

    Article  Google Scholar 

  14. Hamilton, P.S., Curley, M.G., Aimi, R.M., Sae-Hau, C.: Comparison of methods for adaptive removal of motion artifact. Computers in Cardiology 27, 383–386 (2000)

    Google Scholar 

  15. Lee, H., Bien, Z.: On the eigenstructure of linear quasi-time-invariant systems. International Journal of Systems Science 29, 873–887 (1998)

    Article  MATH  Google Scholar 

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Lee, H., Bien, Z.Z. (2010). Estimation of Instantaneous Bandwidth and Reconstruction of Noisy ECG Signal Measured by a 24- Hour Continuous Healthcare System for the Elderly and People with Disabilities. In: Lee, Y., et al. Aging Friendly Technology for Health and Independence. ICOST 2010. Lecture Notes in Computer Science, vol 6159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13778-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-13778-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13777-8

  • Online ISBN: 978-3-642-13778-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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