RESUMEN
An inexpensive 32-channel data acquisition system has been constructed for use in acquiring neuroelectric data from a multiple element electrode array. Direct memory access (DMA) techniques allowed a maximum aggregate sampling rate of 652 ksamples/s, or 20.4 ksamples/s on 32 channels. The 8-bit analog-to-digital (A/D) conversion circuitry lies on a single plug-in card installed in an IBM PC-compatible AT & T 6300 Plus personal computer, although the card may be used in an IBM PC with no reduction in sampling performance. Data have been taken from 32 points on the surface of the rat hippocampal slice preparation. Assembly language graphics routines permitted rapid display of raw and processed data. Signal processing routines can be executed and results can be displayed to provide rapid feedback to an experimenter.
Asunto(s)
Procesamiento Automatizado de Datos/instrumentación , Electrónica/instrumentación , Hipocampo/fisiología , Microcomputadores/instrumentación , Potenciales de Acción , Animales , Procesamiento Automatizado de Datos/métodos , Epilepsia/fisiopatología , Técnicas In Vitro , RatasAsunto(s)
Computadores , Procesamiento de Imagen Asistido por Computador , Microcomputadores , Gráficos por Computador , Computadores/instrumentación , Presentación de Datos , Procesamiento de Imagen Asistido por Computador/instrumentación , Sistemas Hombre-Máquina , Microcomputadores/instrumentación , Programas InformáticosRESUMEN
A high resolution, time efficient method is described for determining the complex modulus of activated striated muscle. In this method the applied oscillation of muscle length takes the form of pseudo-random binary noise, PRBN. As a time-domain signal, PRBN is an extension of the double step approach to include n steps; as a frequency-domain signal, PRBN has the properties of quasi-white noise. Fourier analysis of the PRBN length oscillations and the resulting interrupted tension transients gives rise to the complex modulus values. PRBN provides a practical demonstration of the conceptual link between time and frequency domain descriptions of strain sensitive dynamics. The method is demonstrated with intact rat papillary muscle, and glycerol extracted rabbit psoas muscle.
Asunto(s)
Presentación de Datos , Contracción Muscular , Músculos/fisiología , Animales , Bario/farmacología , Calcio/farmacología , Matemática , Microcomputadores/instrumentación , Modelos Biológicos , Contracción Muscular/efectos de los fármacos , Conejos , RatasRESUMEN
During the last few years a number of systems for graphics generation and image processing have been developed by the authors. Depending on the application, one can consider many kinds of systems; for example for simple analysis of cellular images, a system that realizes the video mixing between a camera and graphics data from a microcomputer would be adequate. For a more elaborate analysis, such as angiographic and echographic images requiring a high level of interactivity, a semi-automatic acquisition system linked to a host computer would be necessary. Limits in precision and execution time of these semi-automatic systems leads to independent work-stations that realize digital acquisition, processing, and display of images.
Asunto(s)
Computadores/instrumentación , Diagnóstico , Microcomputadores/instrumentación , Presentación de Datos , Humanos , Programas Informáticos , Grabación en Video/instrumentaciónRESUMEN
A comprehensive summary report of quality-control data is of great value in monitoring the accuracy and precision of the clinical chemistry laboratory. This report allows a retrospective appraisal alerting laboratory personnel to possible test control material degradation or instrument malfunction. A microcomputer-based program package is described, designed to reduce the errors and lengthy preparation inherent in the manual generation of such a report. Quality-control summary data is automatically compared with a predefined set of statistical criteria, and any aberrant values are flagged, thus eliminating subjective and nonuniform data interpretation. Statistical comparisons include: number of control points, delta mean, delta standard deviation, standard deviation index, and F-ratio. The summary report is well accepted by the laboratory staff, and its incorporation into the decision-making process allows for an efficient, critical, and uniformly rigorous examination of analytic proficiency.