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AcqKnowledge 4.4 Demo

AcqKnowledge® 4.4 Demo software effectively simulates physiological data recording from a variety of systems and transducers and performs most full-feature functions. Sample data files include examples recorded using MP Research Systems, BioHarness, Mobita, B-Alert, Epoch, and Stellar systems, from a variety of human and animal subjects.

The Demo software highlights the main features of AcqKnowledge software using the included sample data files. You’ll examine specific sections, take readings, and perform analysis. Over 50 sample data files are included for: ECG data, EDA data, EEG data, EMG data, respiration data, and more. For use with the Automated Analysis Routines—Cardiac Output 1, EDA Events, RER, Cardiac Output 2, Noninvasive Blood Pressure, Impedance Cardiography, and more. Sample data files and pre-configured graph templates can be accessed via the AcqKnowledge Demo’s clear Startup Wizard interface.

Licensed Feature DemosSample files are provided to demo Licensed Features: Basic Scripting, Baroreflex Sensitivity (BRS) Analysis, Pressure-Volume (P/V) Loops, and Vibromyography (VMG) Analysis.

AcqKnowledge 4 demo Help menu The Demo installs support documents and Help menu links. For additional overview options…

Installation Instructions

  1. Download a self-extracting demo installer for the select OS from the Associated Files link below; login required.
  2. Double-click the downloaded demo installer to begin installation.
    • A Wizard will guide you through installation.
  3. Launch the AcqKnowledge 4.4 Demo by clicking the desktop icon or choosing “AcqKnowledge 4.4 Demo” from the Start > Programs menu.
Use the Windows Start menu to launch the AcqKnowledge 4 Demo program
  • Demo does not support saving files, opening non-demo files, printing, batch processes.
  • Do not attempt to launch the demo application by double-clicking a sample file icon; the program will crash.
  • Sample data files are installed to C:Documents and SettingsAll UsersBIOPAC Systems, IncAcqKnowledge 4.4 DemoSample Data

Associated Files

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Understand Human Emotions with Facial EMG

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