A-B M. Salem

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Electroencephalography (EEG) is the recording of electrical activity occurring in the brain, which is recorded from the scalp through placement of voltage sensitive electrodes. It has been repeatedly demonstrated that the brain emits voltage fluctuations on a continuous basis. These fluctuations are a reflection of the on-going brain dynamics, which present(More)
This paper provides a comprehensive survey of the deployment of the electrocardiogram (ECG) as a biometric authentication system. The paper begins with an overview of the ECG, some of the features that have been extracted for use in biometric authentication, followed by a series of case studies. The conclusion reached in this survey indicates that the ECG(More)
In this study, a SPECT dataset containing the records of 267 patients with a variety of heart diseases was analysed using a combined rough sets and neural network approach. The dataset consists of a collection of binary features representing thresholded intensity levels (perfusion levels measured via <sup>201</sup>Tl radiography) from SPECT images of the(More)
In the last two decades, the Electrocardiogram (ECG) was introduced as a powerful biometric tool for personal identification. The vast majority of publications in the ECG based biometrics domain have focused on extracting fiducial based features for use in the identification task. Fiducial based features refer to the landscape of an ECG, which encompasses(More)
In this paper, an electrocardiogram (ECG) based biometric system is proposed. A QT correction step is introduced to obviate the impact of heart rate variability, instead of just normalizing the features by the corresponding RR duration. Consequently, both approaches were examined in this work. Two sets of fiducial features were investigated: a super set of(More)
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