DocumentCode :
1787281
Title :
Novel Technology of Non-invasive Cerebrovascular Autoregulation Monitoring
Author :
Petkus, Vytautas ; Krakauskaite, Solventa ; Chomskis, Romanas ; Bartusis, Laimonas ; Ragauskas, Arminas ; Preiksaitis, Aidanas ; Rocka, Saulius
Author_Institution :
Telematics Sci. Centre, Kaunas Univ. of Technol., Kaunas, Lithuania
fYear :
2014
fDate :
27-29 May 2014
Firstpage :
427
Lastpage :
430
Abstract :
A novel technology for non - invasive cerebrovascular auto regulation (CA) status monitoring is presented. This fully non-invasive CA monitor is based on ultrasonic time-of-flight (TOF) measurement of cerebral blood volume pulsations within the brain parenchyma, processing of volumetric waves, and calculation of CA estimation indexes without using any additional arterial blood pressure (ABP) measurements. The CA status is estimated by extracting informative and reference slow waves from non-invasively measured TOF signals and by calculating Pearson´s correlation coefficient between these waves as a CA index. The analysis of the signal extracted from the envelope of non-invasively measured pulse waves showed good agreement between this signal and ABP waves (r=0.68). Consequently, it shows that this signal might be used instead of ABP waves as a reference signal for calculation of the CA estimation indexes. Comparative invasive versus non-invasive CA monitoring study of 11 traumatic brain injury patients showed that correlation between invasively measured CA index and fully non-invasively measured CA index (no arterial line) was r=0.75. The proposed innovative CA real-time monitoring method gives us new possibilities to perform estimation of the CA status from intracranial waves only as well as to exclude the ABP line´s errors and artifacts from the measurement results.
Keywords :
biomedical ultrasonics; brain; haemodynamics; medical signal processing; patient monitoring; real-time systems; ABP waves; CA estimation index calculation; CA real-time monitoring method; CA status estimation; Pearson correlation coefficient calculation; arterial blood pressure; brain parenchyma; cerebral blood volume pulsations; fully noninvasively measured CA index; informative slow wave extraction; intracranial waves; invasively measured CA index; noninvasive CA status monitoring; noninvasive cerebrovascular autoregulation monitoring; noninvasively measured TOF signals; pulse waves; reference slow wave extraction; signal analysis; traumatic brain injury patients; ultrasonic TOF measurement; ultrasonic time-of-flight measurement; volumetric wave processing; Biomedical monitoring; Blood; Correlation coefficient; Estimation; Indexes; Iterative closest point algorithm; Monitoring; cerebrovascular autoregulation; intracranial waves; medical diagnosis; patient non-invasive monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/CBMS.2014.44
Filename :
6881919
Link To Document :
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