[Automation of calculations of immunoglobulin concentrations usingthe Elektronika B3-34, MK-54 and MK-56 microcomputers].
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EMG during diagnosis and treatment monitoring in orthodontics and gnatology has become widely used. The Authors describe the linking of a PC to an amplifier of EMG signals. The program is then reported and commented on.
A computer controlled equipment is described for computer analysis of isometric contractions of cardiac muscle by different modes of excitation. Both the method and the programme are presented. The following parameters are analysed: half and full contraction time, half relaxation time, maximum force developed during contraction, maximum rate of force development. The same computer is simultaneously used for controlling the stimulation.
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Constantly falling prices and increasing power combine to make the personal computer an attractive alternative to established recording devices for use in polysomnography. Apart from its price advantage, digital recording of psychophysiological signals offers the possibility of selective display (compression and zooming to parts of special interest), and also semi-automatic evaluation. In order to be able to feed the data acquired in the sleep laboratory into the computer, an interface for signal matching, an analog/digital converter, and suitable software, are required. In order to reduce the wealth of data to the clinically relevant (and, in the last resort, also manageable) amount, preprocessing hardware, such as EEG filters, snore detectors, etc., are required. The system we recommend comprises individual hardware, modules for the pickup of physiological signals, and flexibly combinable software routines that permit adaptation to any future expansions of changing medical problems.
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A specific programme elaborated for microcalculator "Electronika MK 61" can be applied by intensive care specialists to mathematical processing of the results of impedance plethysmography and phase analysis of the cardiac cycle.
We set up a software system which can store, retrieve and handle the data for cervical cancer. The data of 526 patients with cervical cancer have been stored. The correlation between various prognostic factors and 5-year survival was studied by means of stepwise analysis. It was found that such factors as macroscopic type of tumor, hemoglobin, peritumoral lymphocytic infiltration and age of the patients influenced prognosis significantly. The best regression equation to predict the 5-year survival of patients was established by this method. It was proved that the calculated survival rate in correspondence with the real 5-year survival rate was 83.6%-99.55%. This study was important to us. We could then take appropriate therapeutic measures in the treatment of patients with cervical cancer.
This report presents a new and well-tolerated technique that quickly tests the labyrinthic system by moving the head, via a helmet mounted on a servo controlled torque motor, with a sinusoidal stimulus small enough (10 to 15 degrees of amplitude) to avoid the triggering of quick phases. A personal PC (Olivetti M24) digitizes the amplified and filtered eye and head movement data for storage and analysis. Compared to the low frequency patterns of stimulation by the sinusoidal acceleration test (SHA), our procedure, because of the reduced mass of inertia, investigates the bandwidth of frequencies corresponding to those normally incurred during natural movements. For each of 14 normal persons, 1 patient with Ménière's disease and 2 with a history of labyrinthic trauma, the phase difference of the eye position relative to the head and the gain are computed. The mean phase lag of 180 degrees, from 0.1 Hz to 2.5 Hz, in the normal group maintains steady gaze during head rotation in significant opposition to the phase lag, varying at 1 Hz from 264 to 354 degrees, of the patients with vestibular disorders. The phase lag is the most reliable parameter in detecting vestibular dysfunction and its correct determination can be made in a few minutes, at physiological frequencies, by our low-cost simplified method.
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