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Koteswarao Rao, S.
- Distinguishing Normal and Abnormal ECG Signal
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Authors
Affiliations
1 Department of ECE, Vignan's Institute of Information Technology, Visakhapatnam - 530049, Andhra Pradesh, IN
2 Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, IN
1 Department of ECE, Vignan's Institute of Information Technology, Visakhapatnam - 530049, Andhra Pradesh, IN
2 Department of ECE, K L University, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 10 (2016), Pagination:Abstract
The problem of the heart are normally monitored by ECG. ECG waveform comes in the slope of P-Q-R-Spattern. Q-R-S is the most critical part of the waveform. In this study of ECG signals and examination of different conditions, two must required parameters are Q-R-S duration and heart rate. Abnormal condition results in artificial arrhythmia in which there will be a remarkable change in these parameters. The aim of this work is to determine whether arrhythmia exist are not. Extraction of Q-R-S complex is done by Pan–Tompkins algorithm. ECG signal is made to pass through a LPF and HPF filters. There the signal is made to pass through derivation squaring, integration to compare it with a set of slopes case of abnormality are studied. Thus, the method serves as easy technique for studying cardiac abnormality.Keywords
Abnormal, ECG Signals, High Pass Filter, Low Pass Filter, R-R Intervals, Q-R-S Pattern- Denoising and Detecting Discontinuities using Wavelets
Abstract Views :225 |
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Authors
Affiliations
1 Department of ECM, Vignan's Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
2 Department of ECE, K L University, Vaddeswaram - 522502, Guntur, Andhra Pradesh, IN
1 Department of ECM, Vignan's Institute of Information Technology, Visakhapatnam - 530046, Andhra Pradesh, IN
2 Department of ECE, K L University, Vaddeswaram - 522502, Guntur, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 19 (2016), Pagination:Abstract
Objective: Noise determination is an important part of any signal processing evaluation .It can influence the output and create faults in the system. Wavelet transforms are used for evaluate noise components in signal and imaging processing. Discrete wavelets are more suitable for denoising. Methods/Analysis: In this work it has been proposed to use DWT having their successive procedures such as signal decomposition, threshold of coefficient and signal reconstruction. Discontinuities are also detected by wavelets. Findings: Synthetic signals have been generated using MATLAB simulation. Attempt has been to reduce the noise in various cases using wavelet analysis. Corresponding results of LPF and HPF have been considered. Novelty/Improvement: Further work can be done by extended the procedure to higher number of filtering operations.Keywords
Denoising, Discontinuities, Discrete Wavelets, High Pass Filter, Lowpass Filter, Wavelet Transforms.- State Space Time Domain AR Signal Processing for Kalman Filter
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Authors
Affiliations
1 Department of ECE, Vignan’s Institute of Information Technology, Beside VSEZ, Duvvada, Gajuwaka, Visakhapatnam - 530046, Andhra Pradesh, IN
2 Department of ECE, KL University, Green Fields, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, IN
1 Department of ECE, Vignan’s Institute of Information Technology, Beside VSEZ, Duvvada, Gajuwaka, Visakhapatnam - 530046, Andhra Pradesh, IN
2 Department of ECE, KL University, Green Fields, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, IN