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Innovations

Spectral trimming technique: a new approach for suppressing motion artefacts in stress electrocardiography

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Pages 338-345 | Received 13 Jan 2020, Accepted 06 Jul 2020, Published online: 06 Aug 2020

References

  • Romero FP, Romaguera LV, Vazquez-Seisdedos CR, et al. Baseline wander removal methods for ECG signals: a comparative study. 2019. [10 p.]. https://arxiv.org/abs/1807.11359.
  • Liu Z, Mi Y, Mao Y. An improved real-time denoising method based on lifting wavelet transform. Meas Sci Rev. 2014;14(3):152–159.
  • Lenis G, Pilia N, Loewe A, et al. Comparison of baseline wander removal techniques considering the preservation of ST changes in the ischemic ECG: a simulation study. Comput Math Methods Med. 2017;2017:1–13.
  • Diniz P. Adaptive filtering: algorithms and practical implementation. 3rd ed. New York (NY): Springer; 2008.
  • Widrow B, Glover JR, Mccool JM, et al. Adaptive noise cancelling: principles and applications. Proc IEEE. 1975;63(12):1692–1716.
  • Thakor NV, Zhu YS. Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection. IEEE Trans Biomed Eng. 1991;38(8):785–794.
  • Yoon SW, Min SD, Yun YH, et al. Adaptive motion artifacts reduction using 3-axis accelerometer in e-textile ECG measurement system. J Med Syst. 2008;32(2):101–106.
  • Liu SH. Motion artifact reduction in electrocardiogram using adaptive filter. J Med Biol Eng. 2011;31(1):67–72.
  • Lakhe A, Sodhi I, Warrier J, et al. Development of digital stethoscope for telemedicine. J Med Eng Technol. 2016;40(1):20–24.
  • Reddy KA, George B, Kumar VJ. Use of Fourier series analysis for motion artifact reduction and data compression of photoplethysmographic signals. IEEE Trans Instrum Meas. 2009;58(5):1706–1711.
  • Peterek T, Prauzek M, Penhakeret M. Baseline wander elimination by Fourier series. 2nd International Conference on Signal Processing Systems (ICSPS); 2010 Jul 5–7; Dalian (China): IEEE; 2010. p. V1-365–V1-367.
  • Sadhukhan D, Mitra M. ECG noise reduction using Fourier coefficient suppression. Proceedings of The 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC); 2014 31st Jan–2nd Feb; Calcutta (India): IEEE; 2014. p. 142–146.
  • Bahaz M, Benzid R. Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australas Phys Eng Sci Med. 2018;41(1):143–160.
  • Donoho DL. De-noising by soft-thresholding. IEEE Trans Inform Theory. 1995;41(3):613–627.
  • Widrow B, Kamenetsky M. Statistical efficiency of adaptive algorithms. Neural Netw. 2003;16(5–6):735–744.
  • Tang SA. Filters. In Tompkins WJ, editor. Biomedical digital signal processing: C-language examples and laboratory experiments for the IBM PC. Upper Saddle River (NJ): Prentice Hall; 2000. p. 174–183.
  • Douglas SC. Introduction to adaptive filters. In: Madisetti VK, Douglas BW, editors. Digital signal processing handbook. Boca Raton (FL): CRC Press LLC; 1999. Chapter 18.
  • Singh O, Sunkaria RK. ECG signal denoising via empirical wavelet transform. Australas Phys Eng Sci Med. 2017;40(1):219–229.

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