Uab Vittamed

Uab Vittamed Technologijos

Kaunas University of Technology

Vytautas Petkus

Arminas Ragauskas

Gediminas Daubaris

Renaldas Raisutis

Mark A Moehring

Eugene A Saxon

Rolandas Zakelis

Alfonsas Vainoras

Zenonas Navickas

Mindaugas Balciunas

Kristina Berskiene

Rimtautas Ruseckas

Romanas Chomskis

Robert Giansiracusa

Steve Swedenburg

Renaidas Raisutis

Daubaris Gediminas

A method and system of predicting a hypotensive episode in a patient using one or more time varying hypotension specific biomarkers corresponding to physiological processes in the patient. Data derived from sensors or other measurement devices such as ECG sensors can be used to generate biomarkers. The biomarkers can then be used to generate an acute hypotension prediction classifier, or monitored factor, derived from a three dimensional temporal representation of two or more biomarkers. When the monitored factor exceeds a predetermined threshold the method and system trigger an alarm before an appearance of a hypotensive episode in the patient.

Method and system for predicting of acute hypotensive episodes

A method and apparatus for continuously measuring the absolute intracranial pressure in a non-invasive manner is described by using an ultrasonic Doppler device which detects the pulsatility indexes of the blood flow inside the eye artery for both intracranial and extracranial eye artery portions. The eye in which the blood flow is monitored is subjected to a small pressure, sufficient to equalize the pulsatility index measurements of the internal and external portions of the eye artery. The pressure at which such equalization occurs is used as a reference for autocalibration of the apparatus so that continuous absolute intracranial pressure measurements may be taken over a particular sampling period.

Method and apparatus for continuously monitoring intracranial pressure

A method and apparatus for obtaining the absolute value of intracranial pressure in a non-invasive manner is described by using an ultrasonic Doppler measuring device which detects the intracranial and extracranial blood flow velocities of the intracranial and extracranial segments of the ophthalmic artery. The eye in which the blood flow is monitored is subjected to an external pressure, sufficient to equalize the intracranial and extracranial angle-independent blood flow factors calculated from the intracranial velocity signal and extracranial velocity signal. The absolute value of the intracranial pressure is identified as that external pressure at which such equalization occur

Method and apparatus for determining the absolute value of intracranial pressure

A non-invasive method for monitoring of cerebrovascular blood flow autoregulation state includes sensing intracranial blood volume waves, filtering a slow wave, respiratory wave, and pulse wave informative components from said intracranial blood volume waves, filtering slow wave and respiratory wave reference components from the pulse wave envelope, calculating a first phase shift between said slow wave informative component and said slow wave reference component, calculating a second phase shift between said respiratory wave informative component and said respiratory wave reference component, and calculating the index of evaluation of the status of cerebral autoregulation state (ICAS) from said first phase shift and said second phase shift.

Apparatus and method of non-invasive cerebrovascular autoregulation monitoring

An ultrasonic method for indicating a characteristic of intracranial components' volume changes includes the transmission of broadband ultrasound from a transmitting transducer positioned on one side of a human head to a receiving transducer located on another side of the human head with decomposition of the received signal into narrowband components and determination therefrom of group delay, phase angle and attenuation as a basis for derivation of the characteristic of the intracranial media.

Ultrasonic method and apparatus for measuring intracranial contents volume change

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Kaunas, Lithuania

Vytautas Petkus