# Software and Hardware Complex for Assessment of Cerebral Autoregulation in Real Time

## TL;DR

This paper introduces a real-time system to assess cerebral autoregulation using non-invasive measurements of blood flow and pressure oscillations.

## Contribution

A novel hardware and software system for real-time cerebral autoregulation assessment using transcranial Dopplerography and wavelet analysis.

## Key findings

- The system measures phase shifts between cerebral blood flow and systemic pressure oscillations in real time.
- Wavelet analysis of sensor signals confirms the system's feasibility for continuous monitoring.
- Testing on volunteers and patients with neurovascular issues validates the system's effectiveness.

## Abstract

The phase shift (PS) between spontaneous slow oscillations of cerebral and systemic hemodynamics reliably reflects the state of cerebral autoregulation (CA). However, CA measurements are performed retrospectively after studying the signals from the analysis sensors. At the same time, CA-oriented therapy is becoming increasingly important with the receipt of data on the state of CA in real time, especially in intensive care units. We offer a hardware and software complex for transcranial Dopplerography, which uses a non-invasive method and allows for continuous measurement of cerebral blood flow to assess the rate of CA in real time. The hardware and software complex uses sensors to measure the PS between spontaneous slow oscillations of blood flow velocity (BFV) in the middle cerebral arteries (MCAs) and systemic arterial pressure (BP) in the Mayer wave range and performs wavelet analysis of sensor signals. An examination of 30 volunteers, with an average age of 28 ± 8 years, and 15 patients, with an average age of 57 ± 16 years, with various neurovascular pathologies confirms the feasibility of using the developed hardware and software complex for continuous monitoring of PS in real time to study the mechanisms of cerebral blood flow regulation.