ICA and Sparse ICA for Biomedical Signals & Images Denoising Based on Fractional Weibull Distribution

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CSTIT8ZA66

ICA and Sparse ICA for Biomedical Signals & Images Denoising Based on Fractional Weibull Distribution

Aamir Adam
Aamir Adam 1,3 Faculty of Science, Mansoura University, Egypt
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Abstract

Biomedical signs or bio signals are a wide range of signals obtained from the human body that can be at the cell, organ, or sub-atomic level. Electromyogram refers to electrical activity from muscle sound signals, electroencephalogram refers to electrical activity from the encephalon, electrocardiogram refers to electrical activity from the heart, electroretinogram refers to electrical activity from the eye, and so on. Monitoring and observing changes in these signals assist physicians whose work is related to this branch of medicine in covering, predicting, and curing various diseases. It can also assist physicians in examining, prognosticating, and curing numerous conditions.

ICA and Sparse ICA for Biomedical Signals & Images Denoising Based on Fractional Weibull Distribution

Biomedical signs or bio signals are a wide range of signals obtained from the human body that can be at the cell, organ, or sub-atomic level. Electromyogram refers to electrical activity from muscle sound signals, electroencephalogram refers to electrical activity from the encephalon, electrocardiogram refers to electrical activity from the heart, electroretinogram refers to electrical activity from the eye, and so on. Monitoring and observing changes in these signals assist physicians whose work is related to this branch of medicine in covering, predicting, and curing various diseases. It can also assist physicians in examining, prognosticating, and curing numerous conditions.

Aamir Adam
Aamir Adam 1,3 Faculty of Science, Mansoura University, Egypt

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Aamir Adam. 1970. “. Global Journal of Computer Science and Technology – H: Information & Technology GJCST-H Volume 23 (GJCST Volume 23 Issue H1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-H Classification: NLMC Code: 0903
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ICA and Sparse ICA for Biomedical Signals & Images Denoising Based on Fractional Weibull Distribution

Aamir Adam
Aamir Adam 1,3 Faculty of Science, Mansoura University, Egypt

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