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Multivariate dynamic analysis of cerebral blood flow regulation in humans.

, , , , , and . IEEE Trans. Biomed. Eng., 47 (3): 419-423 (2000)

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Linear Modelling of Cerebral Autoregulation System Using Genetic Algorithms., , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 94-101. Springer, (2017)Detection of Blood CO2 Influences on Cerebral Hemodynamics Using Transfer Entropy., , , and . Entropy, 26 (1): 23 (January 2024)Superior Fitting of Arterial Resistance and Compliance Parameters With Genetic Algorithms in Models of Dynamic Cerebral Autoregulation., , , and . IEEE Trans. Biomed. Eng., 69 (1): 503-512 (2022)Multivariate dynamic analysis of cerebral blood flow regulation in humans., , , , , and . IEEE Trans. Biomed. Eng., 47 (3): 419-423 (2000)Assessing blood flow control through a bootstrap method., , , , , , and . IEEE Trans. Biomed. Eng., 51 (7): 1284-1286 (2004)Can we assess dynamic cerebral autoregulation in stroke patients with high rates of cardiac ectopicity?, , , , , , , , and . Medical Biol. Eng. Comput., 57 (12): 2731-2739 (2019)Machine learning techniques versus complexity theory in the cerebral haemodynamics of traumatic brain injury patients., , , and . LA-CCI, page 1-6. IEEE, (2021)Tracking instantaneous pressure-to-flow dynamics of cerebral autoregulation induced by CO2 reactivity., , , , , and . EMBC, page 3929-3932. IEEE, (2013)Assessing cerebral blood flow control from variability in blood pressure and arterial CO2 levels., , , and . EMBC, page 1785-1788. IEEE, (2015)Exploring Physiological Differences in Brain Areas Using Statistical Complexity Analysis of BOLD Signals., , and . Entropy, 26 (1): 81 (January 2024)