Background Potentially useful information may exist in the morphological changes in intracranial pressure pulse therefore their extraction by automated methods is highly desirable.
Methods Long-term continuous recordings of intracranial pressure and electrocardiogram (ECG) signals were analyzed for four patients undergoing intracranial pressure (ICP) monitoring with their implanted shunts externalized and clamped. A novel clustering algorithm was invented to process hours of continuous ICP recordings such that a dominant ICP pulse was extracted every 5 min. Morphological characteristics of dominant ICP pulses were then extracted after detecting characteristics points of a dominant ICP pulse that include the locations of ICP pulse onset, the first (P1), the second (P2), and the third peaks (P3) (or inflection points in the absence of peaks).
Findings It was found that ratios of P2 amplitude to P1 amplitude and P3 amplitude to P1 amplitude showed a strong increasing trend for a patient whose lateral ventricles were significantly enlarged (bi-frontal distance was 33 cm on day 0 and 37 cm on day 2) while there were no consistent trends in these morphological features of ICP pulse for the three patients whose ventricles size was not altered during the monitoring period.
Conclusion The present work demonstrates the usefulness of this novel ICP pulse analysis algorithm in terms of its potential capabilities of extracting predictive pulse morphological features from long-term continuous ICP recordings that correlate with the development of ven-triculomegaly.
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References
Afonso VX, Tompkins WJ, Nguyen TQ, Luo S (1999) ECG beat detection using filter banks. IEEE Trans Biomed Eng 46(2):192–202
Chiu YC, Arand PW, Shroff SG, Feldman T, Carroll JD (1991) Determination of pulse wave velocities with computerized algorithms. Am Heart J 121(5):1460–1470
Contant CF Jr, Robertson CS, Crouch J, Gopinath SP, Narayan RK, Grossman RG (1995) Intracranial pressure waveform indices in transient and refractory intracranial hypertension. J Neurosci Methods 57(1):15–25
Eide PK (2006) A new method for processing of continuous intracranial pressure signals. Med Eng Phys 28(6):579–587
Ellis T, McNames J, Aboy M (2007) Pulse morphology visualization and analysis of intracranial pressure. IEEE Trans Biomed Eng 54(9):1552–1559
Kaufman L, Rousseeuw PJ (1990) Finding groups in data: an introduction to cluster analysis. Wiley series in probability and mathematical statistics. Applied probability and statistics. Wiley, New York (xiv, 342 p)
Kirkness CJ, Mitchell PH, Burr RL, March KS, Newell DW (2000) Intracranial pressure waveform analysis: clinical and research implications. J Neurosci Nurs 32(5):271
Piper IR, Chan KH, Whittle IR, Miller JD (1993) An experimental study of cerebrovascular resistance, pressure transmission, and craniospinal compliance. Neurosurgery 32(5):805–815 (discussion 815–816)
Piper IR, Miller JD, Dearden NM, Leggate JR, Robertson I (1990) Systems analysis of cerebrovascular pressure transmission: an observational study in head-injured patients. J Neurosurg 73(6):871–880
Portnoy HD, Chopp M (1981) Cerebrospinal fluid pulse wave form analysis during hypercapnia and hypoxia. Neurosurgery 9 (1):14–27
Portnoy HD, Chopp M, Branch C, Shannon MB (1982) Cerebrospinal fluid pulse waveform as an indicator of cerebral autoregulation. J Neurosurg 56(5):666–678
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Hu, X., Xu, P., Lee, D.J., Paul, V., Bergsneider, M. (2008). Morphological changes of intracranial pressure pulses are correlated with acute dilatation of ventricles. In: Steiger, H.J. (eds) Acta Neurochirurgica Supplements. Acta Neurochirurgica Supplementum, vol 102. Springer, Vienna. https://doi.org/10.1007/978-3-211-85578-2_27
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DOI: https://doi.org/10.1007/978-3-211-85578-2_27
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