Pub Date : 2016-10-01DOI: 10.1109/ICICPI.2016.7859711
S. Sarkar, P. Kundu, G. Sarkar
Differential Code Shift Keying (DCSK) communication scheme a modified version of spread spectrum technology meant for power line carrier communication (PLCC). In power line conditions, this modulation scheme has its own advantages over other conventional modulation techniques. Development of DCSK scheme in MATLAB environment to transmit character string suffers with longer superchirp length particularly for increased string length. This problem is eliminated by compressing the data string by employing Basic Arithmetic Coding and Huffman Coding based compression before transferring the information employing DCSK. In this paper, the performances for all the developed algorithms are compared to determine the advantages and drawbacks of algorithms.
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Pub Date : 2016-10-01DOI: 10.1109/ICICPI.2016.7859674
Subhajit Bhowmick, P. Kundu, G. Sarkar
Modeling of ECG signal is of much importance as the outcome of it is needed for compression of ECG waveform for remote transmission by wireless link, reconstruction of both normal and abnormal ECG waveform without patient, studying the performance of cardiovascular system or heart. The present work proposes a novel method to design a model of heart according to functions of electrical activity of major parts inside heart. Each individual major part generates potential wave w.r.t. time of its own nature due to depolarization and repolarization processes. The individual potential waves have been modeled using Fourier analysis method. In this paper modeling P-R interval wave, QRS interval wave, S-T interval wave and ECG wave for one cycle using MATLAB Simulink. The proper utilization of MATLAB functions (PR Segment block, QRS Segment block, ST Segment block), MATLAB curve fit GUI-TOOLBOX and MATLAB Simulink tool can lead us to work with ECG signals for processing. The Simulink model major parts have been realized by interval generator blocks, ramp function blocks, product blocks, segment generation blocks and adder thereby generating P-R interval wave, QRS interval wave and S-T interval wave within different time ranges of one cycle of ECG wave. The individuals waves as obtained from PR segment block, QRS segment block, ST segment block are synthesized to produce a typical composite ECG wave.
{"title":"Synthesis of ECG waveform using Simulink model","authors":"Subhajit Bhowmick, P. Kundu, G. Sarkar","doi":"10.1109/ICICPI.2016.7859674","DOIUrl":"https://doi.org/10.1109/ICICPI.2016.7859674","url":null,"abstract":"Modeling of ECG signal is of much importance as the outcome of it is needed for compression of ECG waveform for remote transmission by wireless link, reconstruction of both normal and abnormal ECG waveform without patient, studying the performance of cardiovascular system or heart. The present work proposes a novel method to design a model of heart according to functions of electrical activity of major parts inside heart. Each individual major part generates potential wave w.r.t. time of its own nature due to depolarization and repolarization processes. The individual potential waves have been modeled using Fourier analysis method. In this paper modeling P-R interval wave, QRS interval wave, S-T interval wave and ECG wave for one cycle using MATLAB Simulink. The proper utilization of MATLAB functions (PR Segment block, QRS Segment block, ST Segment block), MATLAB curve fit GUI-TOOLBOX and MATLAB Simulink tool can lead us to work with ECG signals for processing. The Simulink model major parts have been realized by interval generator blocks, ramp function blocks, product blocks, segment generation blocks and adder thereby generating P-R interval wave, QRS interval wave and S-T interval wave within different time ranges of one cycle of ECG wave. The individuals waves as obtained from PR segment block, QRS segment block, ST segment block are synthesized to produce a typical composite ECG wave.","PeriodicalId":6501,"journal":{"name":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","volume":"2 1","pages":"61-64"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82653722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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