Ultrasonic non-invasive cerebrovascular autoregulation real-time monitoring


Project no.: 09.3.3-LMT-K-712-23-0196

Project description:

Cerebrovascular autoregulation (CA) is a process which regulates and maintains cerebral blood flow (CBF) constant across a range of blood pressures. Impaired Cerebral Autoregulation is associated with problem in patient’s memory and learning after surgery and with 1-month mortality and morbidity. The proposed technology based on the monitoring of CA status on ophthalmic artery (OA) by using a two-depth transcranial Doppler (TCD) ultrasonography on transorbital window. This innovative technique employs a Pearson correlation coefficient matrix to assess correlation coefficient between spontaneous slow changes in cerebral blood flow velocity (CBFV) in OA and mean arterial blood pressure (MAP). Thus, the proposed correlation coefficient, named ophthalmic artery velocity index (VORx). Multimodal bedside monitoring including CA status and ICP values can improve the outcome of each patient as precise medicine for brain neuroprotection. Therefore, patient specific physiological thresholds can be identified and used to minimize further secondary neurologic injury. Post-traumatic and postoperative (neurosurgical, cardiac surgery, organ transplantation) neurological brain injuries treatment costs billions of dollars in Europe and USA. The aim of this project is to develop and validate the novel method for monitoring of CA status on OA by using a two-depth TCD on transorbital window. The planned pilot study on healthy subjects will be carried out for validation of the developed method for the multimodal bedside monitoring options. The development of non-invasive CA status monitoring based on VORx can contribute to the non-invasive multimodal bedside monitoring field and could decrease social and financial burden in precise medicine field for brain neuroprotection. The research results obtained in the proposed project will contribute to the advancement of precise medicine for brain neuroprotection for early diagnosis and treatment.

Project funding:

This research project is funded by the European Social Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 09.3.3-LMT-K-712 activity “Promotion of postdoctoral fellowships studies”.

Period of project implementation: 2021-07-01 - 2023-08-31

Project coordinator: Kaunas University of Technology

Yasin Hamarat

2021 - 2023

Health Telematics Science Institute, Laboratory of Technology for Human Non-invasive Physiological Measurement and Monitoring