Biomedical subjects

S Fioretti

Publications and source records attributed to S Fioretti.

5 recordsLinked to original sources

PubMed1990

A computer-aided movement analysis system.

Interaction with biomechanical data concerning human movement analysis implies the adoption of various experimental equipments and the choice of suitable models, data processing, and graphical data restitution techniques. The integration of measurement setups with the associated experimental protocols and the relative software procedures constitutes a computer-aided movement analysis (CAMA) system. In the present paper such integration is mapped onto the causes that limit the clinical acceptance of movement analysis methods. The structure of the system is presented. A specific CAMA system devoted to posture analysis is described in order to show the attainable features. Scientific results obtained with the support of the described system are also reported.

Biomechanical Phenomena↗

PubMed1990

Reliable in vivo estimation of the instantaneous helical axis in human segmental movements.

The assessment of the experimental setup and of the data processing methods for the in vivo kinematic investigation of the human joints is described here. The relative movement of contiguous body segments, supposed rigid, is described by means of the instantaneous helical axis (IHA). Great attention has been paid to the stereophotogrammetric aspects and to the filtering and numerical differentiation procedures, in order to obtain reliable estimation of IHA parameters. Their accuracy has been estimated in a simulation context. One experimental case relative to the metacarpophalangeal (MCP) joint is described in detail. The clinical application of the procedures and of the experimental protocol has been used in the entire work.

Algorithms↗

PubMed1987

Total systemic arterial compliance and aortic characteristic impedance in the dog as a function of pressure: a model based study.

Total arterial compliance and aortic characteristic impedance as a function of pressure in the anesthetized closed chest dog (n = 5) were studied. The three-element windkessel (consisting of a peripheral resistance, a total systemic arterial compliance, and an aortic characteristic impedance) was assumed as an arterial model. Aortic pressure was varied by pacing the heart at different rates after the production of atrioventricular block and by administration of Angiotensin and Hydralazine. Model parameters were estimated by two different methods. The first was based on a computerized optimization procedure using all the information contained in the aortic pressure and flow waveforms. The second method used the diastolic decay of aortic pressure to compute total arterial compliance and used the arterial input impedance spectrum to compute aortic characteristic impedance. Total arterial compliance and aortic characteristic impedance changed with pressure. The parameter optimization procedure yielded values of total arterial compliance ranging from 0.20 to 1.4 ml/mmHg and values of aortic characteristic impedance ranging from 0.05 to 0.42 mmHg sec/ml. Values of parameters estimated on the basis of the impedance spectrum and diastolic pressure decay were similar. Compliance values as a function of mean aortic pressure could be fitted with a bell-shaped curve similar to that found from in vitro studies of aortic segments. Characteristic impedance values as a function of mean aortic pressure could be fitted with a parabolic function the minimum of which was found in the range of control to high pressures (90-160 mmHg).

Animals↗

PubMed1985

A simple algorithm for defining the mean cardiac cycle of aortic flow and pressure during steady state.

A fast procedure for defining a cardiac cycle using simultaneously recorded and digitized aortic flow and pressure is presented. A simple algorithm, based on a double-threshold method, initially involves singling the dicrotic notch of flow in order to separate contiguous cardiac cycles during a given steady state. The individual cycles are carried back to a common origin of time, then they are normalized to the mean length and averaged. As a result of an averaging operation the algorithm gives a "mean cycle" of both pulsatile aortic pressure and flow. An "a posteriori" analysis of the noise components in the data has been carried out in order to justify the averaging operation. The "mean cycle" of aortic flow and pressure are suitable to be used as the input quantities of the automatic identification procedures recently assessed to estimate the parameters of simple models of the arterial input impedance. Our algorithm was defined and implemented as a FORTRAN program for a digital PDP 11/24 computer. This algorithm was tested by using pressure and flow data measured in the ascending aorta of dogs. About 26 sec were necessary to select 10 cardiac cycles (each one being about 200 samples long) of both flow and pressure in sequences of 2500 samples per signal and to compute the respective "mean cycles." Total peripheral resistance, total arterial compliance, and aortic characteristic impedance were estimated by aid of the simple three-element windkessel model. The results obtained by our method of determining parameters on the "mean cycle" of aortic pressure and flow were compared to the results obtained by averaging the parameters determined on each heart cycle.

Animals↗

PubMed1985

Stereometry in very close-range stereophotogrammetry with non-metric cameras for human movement analysis.

In this paper a stereophotogrammetric algorithm based on a black-box approach to the modelling of object to image spaces relationship is proposed. The algorithm is well suited for 'very close-range photogrammetry', with respect to experiments in which the measurement field is 0.5 X 0.5 X 0.5 m or smaller, as in the analysis of a few or small body segments movements. The attainable accuracy is high, better than 0.1% of the observation distance. Non-professional and even different cameras can be used. Consequently an inexpensive experimental set-up can be realized. A very simple, cheap and easily usable calibration object is needed. Computation time for the reconstruction of object-space co-ordinates of point body landmarks is one order of magnitude lower than in the case of the Direct Linear Transformation (DLT) (Abdel Aziz and Karara, Proceedings of the ASP/U1 Symposium on Close-Range Photogrammetry, pp. 1-18. American Society of Photogrammetry, 1971; Marzan and Karara, Proceedings of the Symposium on close-range Photogrammetric Systems, pp. 420-467. American Society of Photogrammetry, 1975). Computation time for calibration is two-fold in respect of the DLT. An example of application to the recording of the movements of the index finger with respect to the metacarpophalangeal joint is given.

Biomechanical Phenomena↗