Now showing items 1-5 of 5
| Abstract: | Adaptive filter is a primary method to filter Electrocardiogram (ECG), because it does not need the signal statistical characteristics. In this paper, an adaptive filtering technique for denoising the ECG based on Genetic Algorithm (GA) tuned Sign-Data Least Mean Square (SD-LMS) algorithm is proposed. This technique minimizes the mean-squared error between the primary input, which is a noisy ECG, and a reference input which can be either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Noise is used as the reference signal in this work. The algorithm was applied to the records from the MIT -BIH Arrhythmia database for removing the baseline wander and 60Hz power line interference. The proposed algorithm gave an average signal to noise ratio improvement of 10.75 dB for baseline wander and 24.26 dB for power line interference which is better than the previous reported works |
| Description: | 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT) |
| URI: | http://dyuthi.cusat.ac.in/purl/4515 |
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| ECG Noise Remov ... Mean Square Algorithm.pdf | (1.174Mb) |
| Abstract: | Negative magnetic permeability media (NMPM) can be built up by using small resonant metallic particles like Split ring resonator (SRR) which has very high magnetic polarisability. A group of these particles shows a negative permeability region near and above the resonant frequency. The continuous medium parameters describing the SRR array can be predicted from their individual electromagnetic behavior near the resonances. The paper presents an optimizing software using Genetic Algorithm (GA) to design an edge coupled two ring SRR for a particular frequency |
| Description: | Recent Advances in Microwave Theory and Applications, 2008. MICROWAVE 2008. International Conference on |
| URI: | http://dyuthi.cusat.ac.in/purl/4345 |
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| Ga Optimized Srr Calculator.pdf | (1.052Mb) |
| Abstract: | This paper presents a new approach to the design of combinational digital circuits with multiplexers using Evolutionary techniques. Genetic Algorithm (GA) is used as the optimization tool. Several circuits are synthesized with this method and compared with two design techniques such as standard implementation of logic functions using multiplexers and implementation using Shannon’s decomposition technique using GA. With the proposed method complexity of the circuit and the associated delay can be reduced significantly |
| Description: | International Conference on Microelectronics, Communication and Renewable Energy (ICMiCR-2013) |
| URI: | http://dyuthi.cusat.ac.in/purl/4528 |
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| An Improved Des ... sing Genetic Algorithm.pdf | (252.7Kb) |
| Abstract: | A Multi-Objective Antenna Placement Genetic Algorithm (MO-APGA) has been proposed for the synthesis of matched antenna arrays on complex platforms. The total number of antennas required, their position on the platform, location of loads, loading circuit parameters, decoupling and matching network topology, matching network parameters and feed network parameters are optimized simultaneously. The optimization goal was to provide a given minimum gain, specific gain discrimination between the main and back lobes and broadband performance. This algorithm is developed based on the non-dominated sorting genetic algorithm (NSGA-II) and Minimum Spanning Tree (MST) technique for producing diverse solutions when the number of objectives is increased beyond two. The proposed method is validated through the design of a wideband airborne SAR |
| Description: | Communication Systems (ICCS), 2010 IEEE International Conference on,PP 109-112 |
| URI: | http://dyuthi.cusat.ac.in/purl/4520 |
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| A Multi-Objecti ... s on Complex Platforms.pdf | (719.4Kb) |
| Abstract: | In this paper an attempt has been made to determine the number of Premature Ventricular Contraction (PVC) cycles accurately from a given Electrocardiogram (ECG) using a wavelet constructed from multiple Gaussian functions. It is difficult to assess the ECGs of patients who are continuously monitored over a long period of time. Hence the proposed method of classification will be helpful to doctors to determine the severity of PVC in a patient. Principal Component Analysis (PCA) and a simple classifier have been used in addition to the specially developed wavelet transform. The proposed wavelet has been designed using multiple Gaussian functions which when summed up looks similar to that of a normal ECG. The number of Gaussians used depends on the number of peaks present in a normal ECG. The developed wavelet satisfied all the properties of a traditional continuous wavelet. The new wavelet was optimized using genetic algorithm (GA). ECG records from Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) database have been used for validation. Out of the 8694 ECG cycles used for evaluation, the classification algorithm responded with an accuracy of 97.77%. In order to compare the performance of the new wavelet, classification was also performed using the standard wavelets like morlet, meyer, bior3.9, db5, db3, sym3 and haar. The new wavelet outperforms the rest |
| Description: | Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on,pp 1-5 |
| URI: | http://dyuthi.cusat.ac.in/purl/4526 |
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| Towards the dev ... for ECG classification.pdf | (387.0Kb) |
Now showing items 1-5 of 5
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