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Title: :  FPGA based ECG analysis system
PaperId: :  4427
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4427
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nivedha.BPanimalar engineering college
Sriranjani.DPanimalar engineering college
Janani.JPanimalar engineering college

Abstract

electronics and instrumentation engineering
Adaptive filter , FIR, Discrete Cosine Transform,Discrete Wavelet Transform,Neural Network
This paper presents a proposed design for analyzing electrocardiography (ECG) signals. This methodology employs adaptive filtering technique to filter out the baseline wander noise embedded in the input ECG signal to the system. Discrete Cosine Transform (DCT) was utilized as a feature extraction methodology to extract the reduced feature set from the input ECG signal. The design uses back propagation neural network classifier to classify the input ECG signal. The system is implemented on Xilinx Spartan 6 Field Programming Gate Array (FPGA) board. We have compared discrete wavelet transform (DWT) with discrete cosine transform (DCT) as feature extraction methodology in simulation. Adaptive filters self learn. As the signal into the filter continues, the adaptive filter coefficients adjust themselves to achieve the desired result, such as identifying an unknown filter or canceling noise in the input signal. Adaptive filter is mainly used for ECG since the signals are very feeble..We have simulated both the systems one using DCT and other using DWT and studied the area occupied in SYSTEM GENERATOR mat lab R2013a. .For the real time analysis we have dumped the DCT system coding done in ISE design suit 14.5.

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IJARIIE Nivedha.B, Sriranjani.D, and Janani.J. "FPGA based ECG analysis system" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 2116-2122
MLA Nivedha.B, Sriranjani.D, and Janani.J. "FPGA based ECG analysis system." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 2116-2122.
APA Nivedha.B, Sriranjani.D, & Janani.J. (2017). FPGA based ECG analysis system. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 2116-2122.
Chicago Nivedha.B, Sriranjani.D, and Janani.J. "FPGA based ECG analysis system." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 2116-2122.
Oxford Nivedha.B, Sriranjani.D, and Janani.J. 'FPGA based ECG analysis system', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 2116-2122. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/FPGA_based_ECG_analysis_system_ijariie4427.pdf (Accessed : 31 October 2019).
Harvard Nivedha.B, Sriranjani.D, and Janani.J. (2017) 'FPGA based ECG analysis system', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 2116-2122IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/FPGA_based_ECG_analysis_system_ijariie4427.pdf (Accessed : 31 October 2019)
IEEE Nivedha.B, Sriranjani.D, and Janani.J, "FPGA based ECG analysis system," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 2116-2122, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/FPGA_based_ECG_analysis_system_ijariie4427.pdf [Accessed : 31 October 2019].
Turabian Nivedha.B, Sriranjani.D, and Janani.J. "FPGA based ECG analysis system." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (31 October 2019).
Vancouver Nivedha.B, Sriranjani.D, and Janani.J. FPGA based ECG analysis system. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 31 October 2019]; 3(2) : 2116-2122. Available from: http://ijariie.com/AdminUploadPdf/FPGA_based_ECG_analysis_system_ijariie4427.pdf
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