MEASURING AND COMPUTING MODELS OF CEREBRAL AUTOREGULATION FOR DIGITAL PERSONALIZED MEDICINE

V. I. Antonov, G. F. Malykhina, V. B. Semenyutin
Abstract:
Development of personalized medicine is determined by the synergy of scientists from several fields of medicine, mathematics, computer science and instrumentation. Approaches based on modern methods of measuring, signal processing and machine learning complement the main methods for studying biological processes, make it possible to identify the mechanisms of the disease and personalize the treatment strategy. The article is devoted to the study of models and methods that characterize the processes of cerebral blood flow autoregulation for methodological support of measuring systems in the field of digital personalized medicine. Analysis of systemic arterial pressure and blood flow velocity in the arteries of the base of the brain signals, which characterize the cerebral blood flow autoregulation, makes it possible to determine the nature of the violation of cerebral autoregulation processes in patients. The article proposes to use fractal methods for signal analysis based on the calculation of the Hölder multifractal spectrum and the correlation dimension of signals. The advantage of fractal methods is that they can be applied to signals without a characteristic scale that are scale invariant.
Keywords:
Mayer waves, cerebral autoregulation, multifractal spectrum, correlation dimension.
Download:
IMEKO-TC6-2022-008.pdf
DOI:
10.21014/tc6-2022.008
Event details
Event name:
M4Dconf2022
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022
Event details
Event name:
Special session at M4Dconf2022
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022
Event details
Event name:
M4Dconf2022 (2)
Title:

First International IMEKO TC6 Conference on Metrology and Digital Transformation

Place:
Berlin, GERMANY
Time:
19 September 2022 - 21 September 2022