Augmented-hilbert transform for detecting peaks of a finger-ECG signal

Abstract

Detection of peaks of different waves of a finger-ECG signal is important for biomedical and biometrics applications. We introduce the augmented-Hilbert transform of first derivative of signal to signify the peaks by suppressing the non-peaks and noisy peaks. We need two computationally simple steps for the detection of peaks: signal transformation and… (More)

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Cite this paper

@article{Islam2014AugmentedhilbertTF, title={Augmented-hilbert transform for detecting peaks of a finger-ECG signal}, author={Md Saiful Islam and Naif Alajlan}, journal={2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)}, year={2014}, pages={864-867} }