Indian Journal of Science and Technology

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Deconvolution Methods for Biomedical Signals Analysis


Affiliations
1 Computer Research Institute, KACST P.O. Box 6080, Riyadh 11442, Saudi Arabia
 

In this paper, a deconvolution approach based on time frequency representation (TFR) methods is used for the estimation and analysis of biomedical signals. Chosen as examples are electroencephalogram (EEG) as well as the Electrocardiogram (ECG) signals for normal and abnormal patients. In particular, an iterative procedure is applied to calculate the required time-frequency distributions for the different types of cases under study. The deconvolution method can be defined as the process of recovering the input to some system from its output given information about that particular system. This kind of procedure is used in the field of time-frequency analysis for enhancing the resolutions of the signals under testing. These advantages are used in this paper for the biomedical applications area.

Keywords

Sleep Scoring, Electroencephalogram, Electrocardiogram, Deconvolution
User

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  • Deconvolution Methods for Biomedical Signals Analysis

Abstract Views: 498  |  PDF Views: 124

Authors

Mohammed A. Al-Manie
Computer Research Institute, KACST P.O. Box 6080, Riyadh 11442, Saudi Arabia

Abstract


In this paper, a deconvolution approach based on time frequency representation (TFR) methods is used for the estimation and analysis of biomedical signals. Chosen as examples are electroencephalogram (EEG) as well as the Electrocardiogram (ECG) signals for normal and abnormal patients. In particular, an iterative procedure is applied to calculate the required time-frequency distributions for the different types of cases under study. The deconvolution method can be defined as the process of recovering the input to some system from its output given information about that particular system. This kind of procedure is used in the field of time-frequency analysis for enhancing the resolutions of the signals under testing. These advantages are used in this paper for the biomedical applications area.

Keywords


Sleep Scoring, Electroencephalogram, Electrocardiogram, Deconvolution

References





DOI: https://doi.org/10.17485/ijst%2F2010%2Fv3i2%2F29658