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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16778
Title: A computationally efficient approach for ECG signal denoising and data compression
Authors: Chandra S.
Sharma A.
Published in: Proceedings of 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings
Abstract: In this paper, a new approach to remove noise present in ECG signal is proposed. Baseline wander and high frequency noise is eliminated by using computationally efficient linear phase filter ie. interpolated finite impulse response (IFIR) filter. The IFIR filter is designed by using Kaiser window function to achieve high stop band attenuation. As compared to other methods, the technique presented could achieve a reduction in computational complexity by 80.14 percent. Data compression is also performed in this study using wavelet packet decomposition along with Run-length encoding. Run-length encoding is used to improve the compression performance. For evaluation of the performance of IFIR filter, computational cost reduction (CRC) parameter is used, which directly depended on multipliers and adders. Different fidelity factors are considered to evaluate the performance of the proposed data compression method, viz., compression ratio (CR), signal to noise ratio (SNR), retained energy (RE) and percent root mean square difference (PRD), their magnitude being 25.13, 38.93, 99.10 and 1.75, respectively. MIT-BIH arrhythmia database has been utilized to judge the entire set of computations mentioned above noise removal and ECG signal compression. This work also includes beat detection of original and reconstructed signals. Simulated results show that decompressed signal is a replica of the input signal. © 2017 IEEE.
Citation: Proceedings of 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings, (2017), 22- 27
URI: https://doi.org/10.1109/ICSGRC.2017.8070561
http://repository.iitr.ac.in/handle/123456789/16778
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Baseline wander
Beat detection
Data compression
ECG signal
High frequency noise
IFIR
Linear phase filter
Wavelet packet decomposition
ISBN: 9781538603802
Author Scopus IDs: 57200150419
55482822100
Author Affiliations: Chandra, S., Deptartment of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Sharma, A., Deptartment of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Funding Details: ACKNOWLEDGMENT The authors would like to express sincere thanks to grant support from Indian Institute of Technology (IIT) Rookee,
Appears in Collections:Conference Publications [EE]

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