| Περίληψη: | This Msc Thesis deals with the design of a fractional-order differentiator-lowpass filter for reducing the noise from an ECG signal. This implementation is a fairly innovative idea, both in the fields of electronics and biomedicine, if we consider that this way of designing is proposed for the first time in terms of denoising such signals. Noise in typical ECG signals comes from both natural (muscle movement) and electrical (electrodes imperfections) causes. The use of ordinary integer-order circuits to reduce noise in such a signal is inadequate, as the signal is deformed significantly. A fairly innovative idea to achieve electrocardiogram filtration is introduced in this thesis, which provides for the design of a fractional-order differentiator-lowpass filter. The transfer function of the filter results from the use of integer-order transfer functions, which are implemented via multiple feedback topologies. This could be achieved by the construction of a fractional-order differentiator and an integer-order lowpass filter, whereby given their properties, the aim of extracting R-peaks in electrocardiograms will be achieved. The method of approximation that is used for this purpose is the 2nd -order Continued Function Expansion. The performance of the proposed scheme is verified through post-layout simulations using Cadence IC design suite and the Design Kit provided by the Austria Mikro Systeme (AMS) 0.35μm CMOS technology process.
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