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Outline Steps

1)  Look at Data from a Distance

         Mark Events and types of events

2)  Look at Data up close and use the analysis aspects

 

3)  Review Commands of the analysis

  • General Analysis
    • Histogram
    • Modeling
    • Power Spectral Density
    • AR Time-Frequency Analysis
    • FFT
    • DWT
    • Principal Component Analysis
    • Independent Component Analysis
  • Detect and Classify Heartbeats
  • Locale ECG Complex Boundaries
  • Heart Rate Variability
    • HRV Analysis, CH9, ECG

      Power in the very low frequency band:    0.000414456    sec^2

      Power in the low frequency band:    0.000334895    sec^2

      Power in the high frequency band:    0.000227338    sec^2

      Power in the very high frequency band:    2.0399e-05    sec^2

      Sympathetic:    0.595652

      Vagal:    0.404348

      Sympathetic-vagal balance:    1.47312

       

       

  • Gastric Wave Analysis/Coupling
  • Chaos
  • Correlation Coefficient
  • Electrodermal

 

 For next steps and decisions:

Acqknowledge--Visualizing groups of waveforms to clearly identify helpful challenges can be a challenge.    It is really designed to focus on one waveform at a time. 


Acqknowledge can help

     --process the functionality "for the analyses to be considered."

      --It can be used to create novel calculations between waveforms easily and export.  

       Create output for specific areas and/or calculations that can be imported into matlab or not. 


The next steps are to consider how to perform the steps between Acqknowledge and Matlab.

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