Powerful, flexible segmentation options.

• Analyze specific time spans with millisecond precision
• Utilize events to quickly and consistently jump to points of interest (baseline, tasks, etc) in the file
  • Automatically read events from MindWare, AcqKnowledge, Brain Vision files
  • Import events from Mangold INTERACT, Noldus Observer, and more
  • Detect events from digital pulses
• Supports ECG data, and cardiac impedance signals Z0 and dZ/dt
  • Derive dZ/dt from Z0 if not available
• Supports MindWare data files (MWX/MWI, MW), AcqKnowledge 3 Graph (.acq), European Data Format (EDF), Biosemi Data Format (BDF), BrainVision data format (VHDR/EEG)
  • Import many other file formats using the ASCII-MW converter
• Automatically synchronize and playback up to 4 video files while viewing physiology data

• Know where your statistics come from – only published and peer reviewed algorithms are used throughout
• Visualize data with colorful, easy to understand graphs
• Automatic dual artifact detection algorithms help guide you to areas in the data that need further investigation/correction
• Ensemble averaging technique allows for noise rejection and visualization of key landmarks used to derive statistics
• Output popular, industry standard metrics of Cardiac Impedance with the press of a button – no configuration needed. Quantify systolic time intervals and volumetric measures using sophisticated, automated algorithms:
  • Heart Rate (HR)
  • Pre-Ejection Period (PEP)
  • Left Ventricular Ejection Time (LVET)
  • Stroke Volume
  • Cardiac Output
  • Total Peripheral Resistance (* requires Blood Pressure stats)
  • And more
• Write all statistics to an easy-to-read Excel file for further review/analysis

• The comprehensive graphical data editors allow you to easily clean your data by inserting/deleting detected peaks and landmarks
  • Automatically track edits and the distribution of peaks (good vs estimates vs artifact) to ensure you are staying within the acceptable bounds
  • Edit the ensemble average waveform to move landmarks to desired location (QRS on ECG, BZX on dZ/dt)
• Save time by re-using edits from HRV analysis, and automatically ignore estimated beats to exclude them from analysis
• Save multiple edit files to track editing techniques across many team members