1. Time Series and Batch Analysis Using ICM+
Philip M. Lewis
Scientific Research Officer
Dept of Neurosurgery
Alfred Hospital, Melbourne
Victoria, Australia

2. Typical Applications of ICM+
Continuous calculations of time-domain indices of autoregulation
Mx, PRx
Frequency-domain parameters
ABP/CBFV LF/HF cross spectral gain, phase
ICP fundamental amplitude
Time/Frequency domain combinations
RAP index

3. Example - FundFrq
Labels (Aliases)
Raw signals

10. A Word About Frequency-Domain Calculations
Efficient FFT calculation requires the input data of length N to conform to the rule N = 2x, where x = 1,2,3,4 etc.
In other words, the amount of data fed into the FFT algorithm needs to be a power-of-2 long!
E.g.:
1 sample = 20
2 samples = 21
4 samples =
16384 samples = 214
If the input data length does not conform to this rule, ICM+ will ‘pad out’ the data with zeroes to make it fit the required length
E.g.
3 samples will be increased to 4
500 samples will become 512
This is fine, but BUT…
16385 samples will become 32768!!
If you’re processing lots of large files, you may need extra cups of coffee…
Now we resume normal programming…

14. Example – ABP/CBFV respiratory phase shift

15. Example – ABP/CBFV respiratory phase shift`

17. Output

18. Signal Labels

22. All “renamed” or “aliased” to FV when analysing

24. Lots of Files…

26. Summary Spreadsheet

27. Batch Analysis

28. Batch Analysis Options

30. ICM+ Tools
Written to ease the pain of summarising large volumes of ICM+ batch analysis data
Allows for outputting summary measures of column data
Mean, Median, Std Dev, Max, Min, etc etc
Tabulates results by filename
More sophisticated summaries being developed

31. ICM+ Tools Demonstration