Proceedings ArticleDOI
Joint reduction of baseline wander, PLI and its harmonics in ECG signal using Ramanujan Periodic Transform
Basheeruddin Shah Shaik,Vijay Kumar Chakka +1 more
- pp 1-5
TLDR
RPT is used for preprocessing, to reduce baseline wander noise, PLI and its harmonics, and the RPT is reducing the noise with minimum error (E), when compared with notch filter technique.Abstract:
Ramanujan Periodic Transform (RPT) is a newly emerging transformation technique in the field of signal processing. It uses an integer bases (obtained from Ramanujan sum) for transformation. A recorded ECG signal often contains artifacts (bioelectric signals) namely, baseline wander, muscle artifacts (EMG-Electromyogram), motion artifacts, powerline interference (PLI) and its harmonics. With certain precautions during signal recording we can avoid both muscle and motion artifacts. The other noises can be reduced by preprocessing of the recorded ECG signal. In this paper, RPT is used for preprocessing, to reduce baseline wander noise, PLI and its harmonics. The proposed methodology is tested on a record from MIT-BIH Arrhythmia database for different block sizes. A sum (E) of Euclidean errors per block (e i -ith block), is used as a measure to compare the results of RPT with notch filter technique. From the results, the RPT is reducing the noise with minimum error (E), when compared with notch filter technique.read more
Citations
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Journal ArticleDOI
Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings.
TL;DR: In this paper, an enhanced periodic mode decomposition (EPMD) method is proposed to extract the periodic impulse components from the composite fault signals, and the experimental results indicate that the EPMD is an effective method for composite fault diagnosis of rolling bearings.
Journal ArticleDOI
Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings
TL;DR: In this article , an enhanced periodic mode decomposition (EPMD) method is proposed to extract the periodic impulse components from the composite fault signals, and the experimental results indicate that the EPMD is an effective method for composite fault diagnosis of rolling bearings.
Proceedings ArticleDOI
Ramanujan and DFT mixed basis representation for removal of PLI in ECG signal
TL;DR: Using this mixed basis representation, the problem of removing Power Line Interference in ECG data is addressed and the methodology is tested on the MIT-BIH Arrhythmia database and the obtained results are competitive when compared with other techniques.
Journal ArticleDOI
A New Signal Representation Using Complex Conjugate Pair Sums
TL;DR: This letter introduces a real valued summation known as CCPS and compared CCPT with discrete Fourier transform (DFT) and Ramanujan periodic transform (RPT), it is shown that, using CCPT, it can estimate the period, hidden periods, and frequency information of a signal.
Journal ArticleDOI
On the Zeros of Ramanujan Filters
TL;DR: It is shown that increasing the number of periods of Ramanujan sums in the filter definition only increases zeros on the unit circle in $z$-plane.
References
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Journal ArticleDOI
Ramanujan Sums in the Context of Signal Processing—Part I: Fundamentals
TL;DR: In the companion paper (Part II), it is shown that arbitrary finite duration signals can be decomposed into a finite sum of orthogonal projections onto Ramanujan subspaces.
Proceedings ArticleDOI
ECG to Individual Identification
Yogendra Singh,Phalguni Gupta +1 more
TL;DR: This paper presents an individual identification system using single lead electrocardiogram (ECG) designed on template matching and adaptive thresholding, and shows the performance of P and T wave delineators is optimum and also stable in comparison to other published results.