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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Eminaga, Y.; Coskun, A.; Moschos, S.A.; Kale, I. (2015)
Publisher: IEEE
Languages: English
Types: Unknown
Subjects: UOWSAT

Classified by OpenAIRE into

ACM Ref: Data_CODINGANDINFORMATIONTHEORY
This paper presents a low complexity high efficiency decimation filter which can be employed in EletroCardioGram (ECG) acquisition systems. The decimation filter with a decimation ratio of 128 works along with a third order sigma delta modulator. It is designed in four stages to reduce cost and power consumption. The work reported here provides an efficient approach for the decimation process for high resolution biomedical data conversion applications by employing low complexity two-path all-pass based decimation filters. The performance of the proposed decimation chain was validated by using the MIT-BIH arrhythmia database and comparative simulations were conducted with the state of the art.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] X. Liu, Y. Zheng, M. W. Phyu, F. Endru, N. V and B. Zhao, "An ultra-low power ECG acquisition and monitoring ASIC system for WBAN applications," Emerging and Selected Topics in Circuits and Systems, IEEE Journal On, vol. 2, pp. 60-70, 2012.
    • [2] S. Ha, C. Kim, M. Chi, A. Akinin, C. Maier, A. Ueno and G. Cauwenberghs, "Integrated Circuits and Electrode Interfaces for NonInvasive Physiological Monitoring," 2014.
    • [3] S. Lee and C. Cheng, "A low-voltage and low-power adaptive switchedcurrent sigma-delta ADC for bio-acquisition microsystems," Circuits and Systems I: Regular Papers, IEEE Transactions On, vol. 53, pp. 2628-2636, 2006.
    • [4] K. Muthusamy, T. Hui Teo and Y. P. Xu, "A 1-V 32-µW 13-bit CMOS sigma-delta A/D converter for biomedical applications," in ASIC, 2009. ASICON'09. IEEE 8th International Conference On, pp. 207-210, 2009.
    • [5] T. H. Teo, X. Qian, P. Kumar Gopalakrishnan, Y. S. Hwan, K. Haridas, C. Y. Pang, H. Cha and M. Je, "A 700-W Wireless Sensor Node SoC for Continuous Real-Time Health Monitoring," Solid-State Circuits, IEEE Journal Of, vol. 45, pp. 2292-2299, 2010.
    • [6] S. Y. Lee, J. H. Hong, C. H. Hsieh, M. C. Liang, S. Y. Chang Chien and K. H. Lin, "Low-power wireless ECG acquisition and classification system for body sensor networks," IEEE J. Biomed. Health. Inform., vol. 19, pp. 236-246, Jan, 2015.
    • [7] I. Kale, R. C. Morling, A. Krukowski and D. A. Devine, "A high fidelity decimation filter for sigma-delta converters," 1994.
    • [8] R. Morling, I. Kale, C. Tsang, S. Morris, G. Hague and C. Foran, "The design of a sigma-delta codec for mobile telephone applications," 1994.
    • [9] S. Chang Chien, C. Hsieh, M. P. Lin, Q. Fang and S. Lee, "Implementation of a real-time ECG signal processor," in Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium On, pp. 1- 4, 2014.
    • [10] R. C. Morling, I. Kale, S. Morris and F. Custode, "DSP engine for ultralow-power audio applications [codec application]," in Circuits and Systems, 2003. ISCAS'03. Proceedings of the 2003 International Symposium On, pp. V-357-V-360 vol. 5, 2003.
    • [11] S. Cetinsel, R. C. Morling and I. Kale, "An FPGA based decimation filter processor design for real-time continuous-time Σ− Δ modulator performance measurement and evaluation," in Circuit Theory and Design (ECCTD), 2011 20th European Conference On, pp. 397-400, 2011.
    • [12] G. B. Moody and R. G. Mark, "The impact of the MIT-BIH arrhythmia database," Engineering in Medicine and Biology Magazine, IEEE, vol. 20, pp. 45-50, 2001.
    • [13] A. L. Goldberger, et al, "PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals," Circulation, vol. 101, pp. E215-20, Jun 13, 2000.
    • [14] P. Kligfield,et al. "Recommendations for the standardization and interpretation of the electrocardiogram: part I: the electrocardiogram and its technology a scientific statement from the AHA Electrocardiography and Arrhythmias Committee, CLCD; the ACC Foundation; and the HRS endorsed by the International Society for Computerized Electrocardiology," J. Am. Coll. Cardiol., vol. 49, pp. 1109-1127, 2007.
  • Inferred research data

    The results below are discovered through our pilot algorithms. Let us know how we are doing!

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