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How can we create and analyze ‘new signals’ using ICM+?

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Presentation on theme: "How can we create and analyze ‘new signals’ using ICM+?"— Presentation transcript:

1 How can we create and analyze ‘new signals’ using ICM+?
Magdalena Kasprowicz How can we create and analyze ‘new signals’ using ICM+? ICM+ user’s club meeting 12 September 2010, Tubingen

2 What ‘new signals’ can be analysed using ICM+?
Raw data: ABP and CBFV Cerebral arterial blood volume (CaBV) Cerebral arterial compliance (Ca) Cerebrovascular time constant of arterial bed () Raw data: ABP, CBFV and ICP Cerebrospinal + venous compliance (Ci) Intracranial compliance ceofficient (ICC)

3 Cerebral arterial inflow Cerebral venous outflow
R-R interval of ECG mean CBV + - CBFa(t) CBFv(t) Cerebral arterial blood volume (CaBV) Cerebral arterial inflow mean CBFa Cerebral venous outflow CBV(t) t t2 Cerebral blood volume Avezaat CJ, van Eijndhoven JH. (1986) The role of the pulsatile pressure variations in intracranial pressure monitoring. Neurosurg Rev 9:

4 Defining new virtual signals step by step

5 Cerebral arterial blood volume (CaBV)
Integrate(fv-MovingAvgFilter(fv,300)) Integrate() MovingAvgFilter(,)

6 CaBV- Response to changes in EtCO2

7 Compartmental compliances of brain
Cerebral arterial compliance (Ca) Cerebrospinal + venous compliance (Ci)

8 Cerebral arterial compliance (Ca)
Mean(AMP_CaBV) / Mean(Amp_ABP) FundAmp(CBV,’BPM&LWR&=40&UPR=120’ FundAmp FundAmp(ABP,’BPM&LWR&=40&UPR=120’ FundAmp Since we have already defined CBV as a new virtual signal, now we cam move to promary analysis and calculate compliance

9 Ca - Response to changes in EtCO2

10 Compartmental compliances (Ca, Ci)

11 Intracranial compliance coefficient (ICC)
Correl (Ci, Ca) Correl

12 Intracranial compliance coefficient (ICC)

13 Cerebrovascular time constant ()
Mean(Ca) * Mean (CVR) Mean(ABP) / Mean (FV)

14 - Response to changes in EtCO2
[mmHg] [cm/s] [kPa] [s]

15 Conclusions ICM+ data analysis is simple! ICM+ software provides:
a graphical, user-friendly interface a comprehensive set of functions for data analysis basic operators (additon, substraction, etc) more complex time-domain function (mean, median, cross-correlation) frequency doamain function (power, fundamental frequency, coherence) a pipe-like data flow analysis virual signals (input)  primary analysis  secendary analysis  final anlysis number of ‘new signals’ which can be incorporated in the software ICM+ is unlimited

16 Cerebrovascular time constant in carotid artery occlusive disease
Monday, September 13, 2010 10:20–11:40 ICP and the Cerebrovascular System Changes in cerebral compartmental compliances during mild hypocapnia in patients with traumatic brain injury E. Carrera, L. A. Steiner , G. Castellani, P. Smielewski, C. Zweifel, C. Haubrich, J. D. Pickard, D. Menon, M. Czosnyka Cerebrovascular time constant in carotid artery occlusive disease M. Kasprowicz , C. Haubrich, P. Smielewski, J. Diedler, E. Carrera, E. Sorrentino, Z. Czosnyka, J. D. Pickard, M. Czosnyka Wednesday, September 15, 2010 15:10–15:50 Severe TBI – Insights Continuous monitoring of Monro-Kellie doctrine in traumatic brain injury Dong-Joo Kim, M. Czosnyka, E. Carrera, C. Haubrich, Z. Czosnyka, M. Kasprowicz, P. Smielewski, M. Balestreri, A. Pena, O. Baledent, J. D. Pickard

17 Thank you


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