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The goal of this paper is to model and analyze the properties of the respiratory system by means of fractional calculus. A linear fractional order system of commensurate order is obtained using the real and the imaginary parts of the measured respiratory impedance through an identification technique. In this context, the features used for the classification of some respiratory diseases are the identified...
In the last years, the electrocardiogram signal has become an important biometric modality due essentially to the physiological or/and behavioral characteristics variation of the heart among different individuals. The aim of this paper is to present a human identification approach using some time and frequency features of the QRS complex of the ECG signal. These features are extracted from a fractional...
In this paper, a new approach to a finite impulse response (FIR) closed form design of the digital fractional forward filter is presented. The design is based on the approximation of the fractional order systems. First, closed form digital infinite impulse response (IIR) fractional forward filter implementation has been derived from the analog rational function approximation, in a given frequency...
The electrocardiogram (ECG) signal may contain useful information about the nature of the diseases afflicting the heart. However, the cardiac abnormalities information cannot be easily and directly monitored by the human eye for large amount of ECG data. Hence, computer assisted methods are very important to monitor cardiac health easily and accurately. In this paper, ECG Normal beats (N), Premature...
In this paper a simple and an efficient approach for approximating the fractional delay operator z-a (0 <; a <; 0.5) using digital infinite impulse response (IIR) filters is proposed. In this technique, the coefficients of the closed form digital IIR filter derived for the approximation of the fractional delay operator, in a given frequency band, are based on the approximation of fractional...
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