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Comparison of FFT, DCT, DWT, WHT Compression Techniques on Electrocardiogram and Photoplethysmography Signals

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IJCA Special Issue on International Conference on Computing, Communication and Sensor Network
© 2013 by IJCA Journal
CCSN2012 - Number 4
Year of Publication: 2013
Authors:
Anamitra Bardhan Roy
Debasmita Dey
Devmalya Banerjee
Bidisha Mohanty

Anamitra Bardhan Roy, Debasmita Dey, Devmalya Banerjee and Bidisha Mohanty. Article: Comparison of FFT, DCT, DWT, WHT Compression Techniques on Electrocardiogram and Photoplethysmography Signals. IJCA Special Issue on International Conference on Computing, Communication and Sensor Network CCSN2012(4):6-11, March 2013. Full text available. BibTeX

@article{key:article,
	author = {Anamitra Bardhan Roy and Debasmita Dey and Devmalya Banerjee and Bidisha Mohanty},
	title = {Article: Comparison of FFT, DCT, DWT, WHT Compression Techniques on Electrocardiogram and Photoplethysmography Signals},
	journal = {IJCA Special Issue on International Conference on Computing, Communication and Sensor Network},
	year = {2013},
	volume = {CCSN2012},
	number = {4},
	pages = {6-11},
	month = {March},
	note = {Full text available}
}

Abstract

Compression technique plays an important role indiagnosis, prognosis and analysis of ischemic heart diseases. It is also preferable for its fast data sending capability in the field of telemedicine. Various techniques have been proposed over years for compression. Among those Discrete Cosine Transformation(DCT), Discrete Wavelet Transformation(DWT), Fast Fourier Transformation(FFT) andWalsh Hadamard Transformation(WHT) are mostly used. In this paper a comparative study of FFT, DCT, DWT, and WHT is proposed using ECG and PPG signal, whichshows a certain relation between them as discussed in previous papers[1]. Image processing depends on compression which helps in reduction of file size for large data transmission in a stipulated and reduced time. Wavelet analysis provides one of the common goals of image compression, i. e. the signal or image clearance and simplification, which are part of denoising or filtering. Wavelet analysis uses and thus provides long term intervals. In this modern era medicinal therapies has evolved drastically which requires transmission of medical data over long distances under high security with maintaining efficacy. This paper delivers a comparative study based on compression ratio and Peak-Signal-to-Noise-Ratio(PSNR) values of image qualities for corresponding techniques . This study alsoascertains the least distortion of PPG signal among 1D signals after retrieval and information extraction from it and ECG signal based on the intermittent relations among ECG and PPG signals as discussed in other papers.

References

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