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Analysis of intracranial pressure during acute intracranial hypertension using Lempel–Ziv complexity: further evidence

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Abstract

We analyzed intracranial pressure (ICP) signals during periods of acute intracranial hypertension (ICH) using the Lempel–Ziv (LZ) complexity measure. Our results indicate the LZ complexity of ICP decreases during periods of ICH. The mean LZ complexity before ICH was 0.20 ± 0.04, while the mean LZ complexity during ICH was 0.16 ± 0.03 (p < 0.05). The mean decrease of the LZ complexity values during the ICH episodes was 19.5%. Additionally, we present preliminary evidence suggesting that periods of ICH may be detectable from non-invasive signals coupled with ICP, such as pulse oximetry (SpO2).

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Fig. 1
Fig. 2

Abbreviations

ApEn :

Approximate entropy

ABP:

Arterial blood pressure

CAR:

Cerebral auto-regulation

HRV:

Heart rate variability

ICH:

Intracranial hypertension

ICP:

Intracranial pressure

LZ :

Lempel–Ziv

TBI:

Traumatic brain injury

SpO2:

Pulse oximetry

References

  1. Aboy M, Hornero R, Abásolo D, Álvarez D (2006) Interpretation of the Lempel–Ziv complexity measure in the context of biomedical signal analysis. IEEE Trans Biomed Eng 53:2282–2288

    Article  Google Scholar 

  2. Balestreri M, Czosnyka M, Steiner L, Schmidt E, Smielewski P, Matta B, Pickard J (2004) Intracranial hypertension: what additional information can be derived from ICP waveform after head injury? Acta Neurochir (Wien) 146:131–141

    Article  Google Scholar 

  3. Contant C, Robertson C, Crouch J, Gopinath S, Narayan R, Grossman R (1995) Intracranial pressure waveform indices in transient and refractory intracranial hypertension. J Neurosci Methods 57:15–25

    Article  Google Scholar 

  4. Czosnyka M, Guazzo E, Whitehouse M, Smielewski P, Czosnyka Z, Kirkpatrick P, Piechnik S, Pickard J (1996) Significance of intracranial pressure waveform analysis after head injury. Acta Neurochir 138:531–541

    Article  Google Scholar 

  5. Czosnyka M, Pickard JD (2004) Monitoring and interpretation of intracranial pressure. J Neurol Neurosurg Psychiatry 75:813–821

    Article  Google Scholar 

  6. Goldstein B, McNames J, Ellenby M, Ibsen L, Jacques S, Aboy M, Thong T, Phillips C, Levitte G (2004) ICU monitoring of continuous physiologic signals. Engineering aspects, clinical interpretation, and future directions. In: Shanley TP (ed) Current concepts in pediatric critical care. Des Planes, IL, pp 201–229

    Google Scholar 

  7. Hornero R, Aboy M, Abasolo D, McNames J, Wakeland W, Goldstein B (2006) Complex analysis of intracranial hypertension using approximate entropy. Crit Care Med 34:87–95

    Article  Google Scholar 

  8. Hornero R, Aboy M, Abásolo D, McNames J, Goldstein B (2005) Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension. IEEE Trans Biomed Eng 52:1671–1680

    Article  Google Scholar 

  9. Lempel A, Ziv J (1976) On the complexity of finite sequences. IEEE Trans Inf Theory 22:75–81

    Article  MATH  MathSciNet  Google Scholar 

  10. Luerssen TG (1997) Intracranial pressure: current status in monitoring and management. Semin Pediatric Neurol 4:146–155

    Article  Google Scholar 

  11. Nagarajan R (2002) Quantifying physiological data with Lempel–Ziv complexity-certain issues. IEEE Trans Biomed Eng 49:1371–1373

    Article  Google Scholar 

  12. Portnoy HD, Chopp M, Branch C, Shannon MS (1982) Cerebrospinal fluid pulse waveform as an indicator of cerebral autoregulation. J Neurosurg 56:666–678

    Article  Google Scholar 

  13. Radhakrishnan N, Gangadhar BN (1998) Estimating regularity in epileptic seizure time-series data. A complexity-measure approach. IEEE Eng Med Biol 17:89–94

    Article  Google Scholar 

  14. Wu X, Xu J (1991) Complexity and brain functions. Acta Biophys Cínica 7:103–106

    MathSciNet  Google Scholar 

  15. Xu J, Liu ZR, Liu R, Yang QF (1997) Information transformation in human cerebral cortex. Physica D 106:363–374

    Article  Google Scholar 

  16. Zhang XS, Roy RJ, Jensen EW (2001) EEG complexity as a measure of depth of anesthesia for patients. IEEE Trans Biomed Eng 48:1424–1433

    Article  Google Scholar 

  17. Zhang XS, Zhu YS, Thakor NV, Wang ZZ (1999) Detecting ventricular tachycardia and fibrillation by complexity measure. IEEE Trans Biomed Eng 46:548–555

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported in part by the “Consejería de Educación de la Junta de Castilla y León” under the Grant VA108A06.

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Authors and Affiliations

  1. Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s/n°, 47011, Valladolid, Spain

    Roberto Hornero & Daniel Abásolo

  2. Electronics Engineering Technology Department, Oregon Institute of Technology, Portland, OR, USA

    Mateo Aboy

Authors
  1. Roberto Hornero
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  2. Mateo Aboy
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  3. Daniel Abásolo
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Correspondence to Roberto Hornero.

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Hornero, R., Aboy, M. & Abásolo, D. Analysis of intracranial pressure during acute intracranial hypertension using Lempel–Ziv complexity: further evidence. Med Bio Eng Comput 45, 617–620 (2007). https://doi.org/10.1007/s11517-007-0194-x

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  • DOI: https://doi.org/10.1007/s11517-007-0194-x

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