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Biomedical subjects

M Cesarelli

Publications and source records attributed to M Cesarelli.

3 recordsLinked to original sources

Pseudo velocity profiles in carotid artery through Doppler US signal processing.

In this paper a new method of obtaining hemodynamic information from spectral analysis of continuous wave Doppler ultrasound signals is presented. Some considerations of the evaluation of maximum and mean frequencies of the signal arising from scattering in the insonated volume are proposed. A new algorithm to compute the maximum frequency has been applied. Maximum and mean frequency are, respectively, proportional to the maximum and mean velocity in the insonated volume. Their application to mathematical models enables an estimate of velocity profiles into the vessels. The proposed method offers the possibility of matching an accurate evaluation of spectral broadening. In vitro tests and some clinical results involving healthy young people, arteriopathic and stenotic patients show the potential of the method in evaluating different hemodynamic conditions.

Blood Flow Velocity

A flexible FFT algorithm for processing biomedical signals using a personal computer.

The aim was to demonstrate the possibility of using personal computer PC-DOS (or generally MS-DOS) for real-time (or quasi real-time) biomedical signal processing by adding a simple A/D conversion card and the mathematical coprocessor XXX87. We have realized an assembly written fast Fourier transform (FFT) routine derived from a radix-4 algorithm, which is autogenerated, i.e. an algorithm modified by another algorithm running off-line according to the number of FFT points. The program is implemented as a subroutine to be called upon by high-level language in different procedures. This approach reduces the computational time, which is particularly useful when many Fourier transforms on different data arrays are required. Reported here are two different applications of the routine as applied to the spectral analysis of Doppler ultrasound velocimetry and surface electromyography.

Algorithms