Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/35280
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dc.contributor.authorPriya, L-
dc.contributor.authorKandaswamy, A-
dc.contributor.authorLakshmi, C D-
dc.date.accessioned2016-08-31T07:14:57Z-
dc.date.available2016-08-31T07:14:57Z-
dc.date.issued2016-09-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/35280-
dc.description547-551en_US
dc.description.abstractDirect transmission of Electrocardiogram (ECG) signal through wireless network is susceptible to Inter Symbol Interference (ISI). Transmission of ECG signal over a band limited channel or through a multipath propagation causes ISI. The proposed work mitigates the Inter symbol Interference using blind equalization algorithm and estimate the transmitted ECG signal without transmitter assistance. This paper discuss the importance of blind equalization for physiological signal transmission over existing wireless networks such as 3G mobile networks and Wireless Body Area Networks (WBAN’s).This method has been validated Swith existing conventional equalization techniques based on computational complexity, correlation coefficient, convergence rate and Mean Square Error (MSE). Results indicated that the performance of blind equalizer same as that of the non blind equalizer, but they do not rely on training signals is the major advantage for deploying this blind receiving scheme in biotelemetry applications.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.75(09) [September 2016]en_US
dc.subjectECGen_US
dc.subjectISIen_US
dc.subjectMSEen_US
dc.subjectCorrelation Coefficienten_US
dc.subjectConvergence Rateen_US
dc.subjectComputational Complexityen_US
dc.subjectBiotelemetryen_US
dc.subjectWBAN’sen_US
dc.titleBlind Signal Processing for Electrocardiogram Signal Transmissionen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.75(09) [September 2016]

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