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Screening of atrial fibrillation (AF) for high-risk patients including all patients aged 65 years and older is important for prevention of risk of stroke. Different technologies such as modified blood pressure monitor, single lead ECG-based finger-probe, and smart phone using plethysmogram signal have been emerging for this purpose. All these technologies use irregularity of heartbeat duration as...
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 finding local maxima-minima. This method needs...
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