Abstract

Data processing systems for non-invasive evaluation of cerebral autoregulation are time-consuming and take 2–3 hours to collect, convert and process the data. Development of systems of real-time evaluation of cerebral autoregulation seems to be critical to reduce the time of data processing, obtaining results and to monitor its parameters in functional tests and monitoring the treatment of patients in intensive care units. The developed software and hardware platform of real-time non-invasive evaluation of cerebral autoregulation based on continuous recording of the phase shift between the linear blood flow velocity in the arteries at the base of the brain and systemic arterial pressure uses Fourier and wavelet transform in the Mayer wave range. The hardware-software complex was shown to be effective and informative under standardized loads and can be used to real-time diagnose the state of cerebral autoregulation and to study the mechanisms of regulation of cerebral blood flow in healthy volunteers.

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