Dataplore

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Dataplore

Dataploresmall.jpg
Basic data

developer ixellence GmbH
Current  version 2.2-3
(2007)
operating system Windows , Linux
category Statistics software
License proprietary
German speaking No
www.dataplore.com

Dataplore is a universal software for the analysis of signals and time series of any kind. A special feature is the integrated data interface to patient monitors. It is used for PC data acquisition and data analysis of medical signals and is thus a useful tool for intensive care medicine and medical research.

history

Dataplore has been developed since 1995 in cooperation with various research institutes ( RWTH Aachen , TFH Wildau , ixellence GmbH , telematics institute at TFH-Wildau) and by computer scientists, physicists, mathematicians and medical professionals . Dataplore originated from the Institute for Physiology at RWTH Aachen University. The following guidelines were decisive for the design of the software:

  • State-of-the-art functionality for modern system analysis
  • easy to use graphical user interface
  • highest degree of integration of a comprehensive range of signal processing functions in a common interface
  • Support of all common hardware and software platforms

Procedure, functions and scope

  • Histogram plot, 2D or 3D delay plots and phase plot of signals
  • Calculations of signal statistics (mean, standard deviation, higher order moments, median, linear regression coefficients, etc.), non-linear regression methods and various statistical hypothesis tests
  • Signal manipulation (subsampling, DC elimination, linear compensation)
  • Generation of surrogate data and noise signals (fractal, Gaussian and Poisson distributed noise etc.)
  • Arithmetic operations and mathematical functions (sin, cos, exp, sinh, log, asin, erf etc.)
  • Analytical operations (amplitude derivation, integration, autocorrelation , cross-correlation , analytical phase, Hilbert transformation )
  • Fourier transformation , amplitude, power density and phase spectrum with optional windowing, cross spectrum, chirp z transformation , cepstrum , coherence, Hilbert transformation, etc.
  • Linear filters ( FIR filters , IIR filters , filtering in the frequency domain)
  • Wavelet transformations (decomposition and reconstruction with orthogonal and biorthogonal wavelets, approximation and detailed calculation), wavelet packet decomposition, transient reconstruction
  • Methods of nonlinear dynamics (recurrence plots, peak-to-peak intervals, correlation integral and dimension, global and local Lyapunov exponents, global and local transinformation of two time series, point-wise coupling divergence, delta test, etc.)
  • advanced noise reduction methods ("wavelet shrinking" and non-linear noise reduction methods)
  • Numerous standard functions (such as file input / output, printing options, etc.)
  • Support of various file formats (Dataplore binary and ASCII formats, MegaWave, WAVE audio files, ASCII raw data)
  • Signal handling (mouse-assisted clipping, editing of signal properties)

particularities

  • Serial interface to Philips Medical Systems CMS devices (patient monitors)

The CMS data interface is used for PC data acquisition and data analysis of medical signals. In addition to recording the data recorded on the patient monitor, the doctor can also use it to determine characteristic parameters and interactions of interesting physiological parameters. The tool becomes an important aid for B. for diagnostic support, for long-term studies and for the publication of research results. The monitor data (ECG, blood pressure, pulse, respiration, etc.) are transmitted via the serial interface and can be stored on the PC and processed further. Both data of the type WAVE and of the type NUMERIC are supported. Regardless of this, the processing of data from other sources is of course still possible.

Signal window ECG
  • Extended handling of non-equidistant x / y data
  • complex signals, two-dimensional signals and 3D plots
Screen 3D plot
  • Macro programming and batch mode execution
  • Time-frequency spectra and contour plots
  • adaptive filters and estimation methods
  • statistical tests and regression methods
  • ARMA, ARIMA, ARMAX and NARMA modeling
  • Tools for coupling analysis of complex systems
  • Methods for the analysis of transient processes and time series
  • "Multi-threading" and "job control"
  • Fitting (curve fitting) for numerous mathematical models

commitment

Possible areas of application are e.g. B. the analysis of biological and physiological systems, mechanical vibrations, electromagnetic signals, epidemiological studies, time series in geology, finance, economics and many more.

Alternatives

Alternatives to Dataplore are Stata , SAS , RATS or WinRATS, Limdep and EViews , GNU R and gretl .

swell

  • Ralf Vandenhouten : Analysis of non-stationary time series of complex systems and applications in physiology (Non-stationary Time Series Analysis of Complex Systems and Applications in Physiology). Shaker Verlag , Aachen 1998, ISBN 3-8265-3814-5 .
  • V. Perlitz, B. Cotuk, M. Lambertz, R. Grebe, G. Schiepek, ER Petzold, H. Schmid-Schönbein , G. Flatten: Coordination dynamics of circulatory and respiratory rhythms during psychomotor drive reduction. In: Autonomic Neuroscience. 115, 1-2, 2004, pp. 82-93. doi : 10.1016 / j.autneu.2004.07.007
  • V. Perlitz, M. Lambertz, B. Cotuk, R. Grebe, R. Vandenhouten, G. Flatten, ER Petzold, H. Schmid-Schönbein, P. Langhorst: Cardiovascular rhythms in the 0.15 Hz band: common origin of identical phenomena in man and dog in the reticular formation of the brain stem? In: Pflügers Archive - European Journal of Physiology . 448, 6, 2004, pp. 579-591. doi : 10.1007 / s00424-004-1291-4
  • M. Lambertz, R. Vandenhouten, P. Langhorst: Transient couplings of brain stem neurons with breathing, cardiovascular system and EEG: their importance for transitions in psychotherapy. In: G. Schiepek (Ed.): Neurobiology of Psychotherapy. Schattauer, Stuttgart / New York 2003, pp. 302-324.
  • Günter Schiepek, Canan Başar-Eroglu: Neurobiology of Psychotherapy. Schattauer Verlag, 2004, ISBN 3-7945-2363-6 .
  • R. Vandenhouten, R. Grebe: SANTIS (Signal ANalysis and Time Series processing) - a tool for the analysis of biosignals. In: Biomedical Engineering. Vol. 41, 1996. doi : 10.1515 / bnte.1996.41.s1.364
  • R. Vandenhouten, F. Roessler, R. Grebe: Online system analysis for circulatory monitoring in the OR. In: Biomedical Engineering. Vol. 41, 1996. doi : 10.1515 / bnte.1996.41.s1.538
  • Online tutorial

Web links