scholarly journals Synchronization of Wave Flows of Arterial and Venous Blood and Phases of the Cardiac Cycle with the Structure of the Peripheral Pulse Wave in Norm: Part 2

2018 ◽  
Vol 8 (3) ◽  
pp. 177-181
Author(s):  
Alexander Kruglov ◽  
◽  
Valery Utkin ◽  
Alexander Vasilyev ◽  
Andrey Kruglov ◽  
...  
2018 ◽  
Vol 8 (4) ◽  
pp. 288-291
Author(s):  
Alexander Kruglov ◽  
Valery Utkin ◽  
Alexander Vasilyev ◽  
Andrey Kruglov

2019 ◽  
Vol 9 (2) ◽  
pp. 106-110
Author(s):  
Alexander Kruglov ◽  
Valery Utkin ◽  
Alexander Vasilyev ◽  
Andrey Kruglov

2018 ◽  
Vol 8 (2) ◽  
pp. 123-128
Author(s):  
Alexander Kruglov ◽  
Valery Utkin ◽  
Alexander Vasilyev

Author(s):  
Bryn A. Martin ◽  
Francis Loth ◽  
Wojciech Kalata ◽  
John N. Oshinski

Non-invasive measurement of pulse wave velocity (PWV) in the cerebrospinal fluid (CSF) system is of interest as a potential indicator of subarachnoid space pressure and compliance, both of which play a role in the development of craniospinal diseases. However, measurement of PWV has eluded researchers primarily due to either a lack of access to CSF velocity measurements or to poor temporal resolution. Here, we present PWV measurements using a novel MR technique that acquires unsteady velocity measurements during the cardiac cycle with a time interval <10 ms. Axial CSF velocity measurements were obtained in the sagittal plane of the cervical spinal region on three patients without cranio-spinal disorders. PWV was estimated by using the time shift identified by the maximum temporal velocity gradient during the cardiac cycle. Based on the maximum velocity gradient, the mean PWV in the three cases was calculated to be 4.6 m/s (stdev 1.7 m/s, p<0.005) during systolic acceleration. The measurements of PWV agree with previously published values.


2003 ◽  
Vol 14 (4) ◽  
pp. 1-8 ◽  
Author(s):  
Patricia B. Raksin ◽  
Noam Alperin ◽  
Anusha Sivaramakrishnan ◽  
Sushma Surapaneni ◽  
Terry Lichtor

Current techniques for intracranial pressure (ICP) measurement are invasive. All require a surgical procedure for placement of a pressure probe in the central nervous system and, as such, are associated with risk and morbidity. These considerations have driven investigators to develop noninvasive techniques for pressure estimation. A recently developed magnetic resonance (MR) imaging–based method to measure intracranial compliance and pressure is described. In this method the small changes in intracranial volume and ICP that occur naturally with each cardiac cycle are considered. The pressure change during the cardiac cycle is derived from the cerebrospinal fluid (CSF) pressure gradient waveform calculated from the CSF velocities. The intracranial volume change is determined by the instantaneous differences between arterial blood inflow, venous blood outflow, and CSF volumetric flow rates into and out of the cranial vault. Elastance (the inverse of compliance) is derived from the ratio of the measured pressure and volume changes. A mean ICP value is then derived based on a linear relationship that exists between intracranial elastance and ICP. The method has been validated in baboons, flow phantoms, and computer simulations. To date studies in humans demonstrate good measurement reproducibility and reliability. Several other noninvasive approaches for ICP measurement, mostly nonimaging based, are also reviewed. Magnetic resonance imaging–based ICP measurement may prove valuable in the diagnosis and serial evaluation of patients with a variety of disorders associated with alterations in ICP.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Juan Torrado ◽  
Daniel Bia ◽  
Yanina Zócalo ◽  
Ignacio Farro ◽  
Federico Farro ◽  
...  

Carotid-to-radial pulse wave velocity (PWVcr) has been proposed to evaluate endothelial function. However, the measurement ofPWVcris not without limitations. A new simple approach could have wide application.Stiffness index(SI) is obtained by analysis of the peripheral pulse wave and gives reproducible information about stiffness of large arteries. This study assessed the effects of hyperemia on SI and compared it withPWVcrin 14 healthy subjects. Both were measured at rest and during 8 minutes after ischemia. SI temporal course was determined. At 1 minute, SI andPWVcrdecreased (5.58±0.24to5.34±0.23 m/s,P<0.05;7.8±1.0to7.2±0.9 m/s;P<0.05, resp.). SI was positively related toPWVcrin baseline (r=0.62,P<0.05), at 1 minute (r=0.79,P<0.05), and during the whole experimental session (r=0.52,P<0.05).Conclusion. Hyperemia significantly decreases SI in healthy subjects. SI was related toPWVcrand could be used to facilitate the evaluation of hyperemia-related changes in arterial stiffness.


2018 ◽  
Vol 24 (C) ◽  
pp. 100
Author(s):  
Ieva Slivovskaja ◽  
Jurate Balsyte ◽  
Ligita Ryliskyte ◽  
Jolita Badariene ◽  
Rokas Navickas ◽  
...  

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