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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