The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Ronney B. Panerai - One of the best experts on this subject based on the ideXlab platform.
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network
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Transfer Function Analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.
Journal of Cerebral Blood Flow & Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) theCerebral Autoregulation Research Network(CARNet -www.car-net.org).
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical applicatio...
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transfer Function Analysis for the assessment of cerebral autoregulation using spontaneous oscillations in blood pressure and cerebral blood flow
Medical Engineering & Physics, 2014Co-Authors: Aisha Meelvan Den S S Abeelen, Ronney B. Panerai, Arenda H E A Van Beek, Cornelis H Slump, Jurgen A.h.r. ClaassenAbstract:Cerebral autoregulation (CA) is a key mechanism to protect the brain against excessive fluctuations in blood pressure (BP) and maintain cerebral blood flow. Analyzing the relationship between spontaneous BP and cerebral blood flow velocity (CBFV) using transfer Function Analysis is a widely used technique to quantify CA in a non-invasive way. The objective of this review was to provide an overview of transfer Function techniques used in the assessment of CA. 113 publications were included. This literature showed that there is no gold standard for the execution and implementation of the transfer Function. There is a high diversity in settings and criteria used for transfer Function Analysis. Notable is also the high number of studies which report little on the settings. This disparity makes it difficult to replicate or compare the results of the different studies and further hinders the opportunity to make a distinction between intact and impaired CA in different patient groups. More research on the effects of different implementation techniques on CA results and optimization of the transfer Function Analysis is urgently needed. Furthermore, international guidelines should be created to inform the minimal description of the applied technique and the interpretation of transfer Function outcomes in scientific research.
Jurgen A.h.r. Claassen - One of the best experts on this subject based on the ideXlab platform.
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network
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Transfer Function Analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.
Journal of Cerebral Blood Flow & Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) theCerebral Autoregulation Research Network(CARNet -www.car-net.org).
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical applicatio...
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transfer Function Analysis for the assessment of cerebral autoregulation using spontaneous oscillations in blood pressure and cerebral blood flow
Medical Engineering & Physics, 2014Co-Authors: Aisha Meelvan Den S S Abeelen, Ronney B. Panerai, Arenda H E A Van Beek, Cornelis H Slump, Jurgen A.h.r. ClaassenAbstract:Cerebral autoregulation (CA) is a key mechanism to protect the brain against excessive fluctuations in blood pressure (BP) and maintain cerebral blood flow. Analyzing the relationship between spontaneous BP and cerebral blood flow velocity (CBFV) using transfer Function Analysis is a widely used technique to quantify CA in a non-invasive way. The objective of this review was to provide an overview of transfer Function techniques used in the assessment of CA. 113 publications were included. This literature showed that there is no gold standard for the execution and implementation of the transfer Function. There is a high diversity in settings and criteria used for transfer Function Analysis. Notable is also the high number of studies which report little on the settings. This disparity makes it difficult to replicate or compare the results of the different studies and further hinders the opportunity to make a distinction between intact and impaired CA in different patient groups. More research on the effects of different implementation techniques on CA results and optimization of the transfer Function Analysis is urgently needed. Furthermore, international guidelines should be created to inform the minimal description of the applied technique and the interpretation of transfer Function outcomes in scientific research.
Armando Salazar - One of the best experts on this subject based on the ideXlab platform.
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synchronized phasor data based energy Function Analysis of dominant power transfer paths in large power systems
IEEE Transactions on Power Systems, 2007Co-Authors: Joe H Chow, Aranya Chakrabortty, Murat Arcak, B Bhargava, Armando SalazarAbstract:Many large interconnected power systems such as the U.S. eastern interconnection and the U.S. western power system are characterized by many power transfer paths or interfaces with high loading. Disruptions of these transfer paths frequently lead to increased loading on neighboring transfer paths, which themselves will become less secure and could cause further disruptions. State estimators have limited performance under large system disruptions, because of low sampling rates and potentially poor solution quality due to topology errors. Furthermore, disruptions in external power systems cannot be readily seen by control room operators because most state estimators only use reduced models for external systems. A system of well-placed phasor measurement units (PMUs) that provide voltage and current magnitude and phase at a high sampling rate can provide useful system dynamic security information. In this paper we apply energy Function Analysis using phasor data to monitor the dynamic status of power transfer paths. The ideas will be illustrated using actual data captured by several PMUs in the U.S. western power system
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synchronized phasor data based energy Function Analysis of power transfer paths
2006 IEEE Power Engineering Society General Meeting, 2006Co-Authors: Joe H Chow, Aranya Chakrabortty, Murat Arcak, B Bhargava, Armando SalazarAbstract:Many large interconnected power systems such as the US eastern interconnection and the US western power system are characterized by many power transfer paths with high loading. Disruptions of these transfer paths frequently lead to increased loading on neighboring transfer paths, which themselves become less secure and could cause further disruptions. State estimators have limited performance under large system disruptions, because of low sampling rates and potentially poor solution quality due to topology errors. Furthermore, disruptions in external power systems cannot be readily seen by control room operators because most state estimators only use reduced models for external systems. A system of well-placed phasor measurement units (PMUs) that provide voltage and current magnitude and phase at a high sampling rate can provide useful system dynamic security information. In this paper we apply energy Function Analysis using phasor data to monitor the dynamic status of power transfer paths. The ideas are illustrated for a power transfer path using actual PMU data in the US western power system.
Chizheng Chen - One of the best experts on this subject based on the ideXlab platform.
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significant crustal thinning beneath the baikal rift zone new constraints from receiver Function Analysis
Geophysical Research Letters, 2004Co-Authors: Stephen S Gao, Kelly H Liu, Chizheng ChenAbstract:[1] Thinning of the crust of more than 10 km is a major feature of typical continental rifts such as the East African (EAR) and Rio Grande (RGR) rifts. However, numerous previous studies across the Baikal rift zone (BRZ), which has similar surface expressions and tectonic history, and more active seismicity relative to EAR and RGR, have resulted in contradicting amount of thinning, ranging from almost none to more than 10 km. We measure crustal thickness by stacking teleseismic receiver Functions beneath 51 sites on the southern and central parts of the BRZ and adjacent Siberian Platform and Sayan-Baikal-Mongolian Foldbelt. Our measurements reveal that beneath the southern part of the Platform, the average crustal thickness is about 38 km, which is about 7 km thinner than that beneath the Foldbelt and the un-rifted part of the BRZ. The thinnest crust, 35 km, is found beneath the central part of the rift, and represents a significant thinning of about 10 km relative to the un-rifted parts of the BRZ. INDEX TERMS: 7200 Seismology; 7203 Seismology: Body wave propagation; 7205 Seismology: Continental crust (1242). Citation: Gao, S. S., K. H. Liu, and C. Chen (2004), Significant crustal thinning beneath the Baikal rift zone: New constraints from receiver Function Analysis, Geophys. Res. Lett., 31, L20610, doi:10.1029/2004GL020813.
Aisha Meelvan Den S S Abeelen - One of the best experts on this subject based on the ideXlab platform.
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network
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Transfer Function Analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.
Journal of Cerebral Blood Flow & Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer Function Analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) theCerebral Autoregulation Research Network(CARNet -www.car-net.org).
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transfer Function Analysis of dynamic cerebral autoregulation a white paper from the international cerebral autoregulation research network
Journal of Cerebral Blood Flow and Metabolism, 2016Co-Authors: Jurgen A.h.r. Claassen, Aisha Meelvan Den S S Abeelen, D. M. Simpson, Ronney B. PaneraiAbstract:Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer Function Analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer Function Analysis in practice, which has limited comparisons between studies and hindered progress towards clinical applicatio...
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transfer Function Analysis for the assessment of cerebral autoregulation using spontaneous oscillations in blood pressure and cerebral blood flow
Medical Engineering & Physics, 2014Co-Authors: Aisha Meelvan Den S S Abeelen, Ronney B. Panerai, Arenda H E A Van Beek, Cornelis H Slump, Jurgen A.h.r. ClaassenAbstract:Cerebral autoregulation (CA) is a key mechanism to protect the brain against excessive fluctuations in blood pressure (BP) and maintain cerebral blood flow. Analyzing the relationship between spontaneous BP and cerebral blood flow velocity (CBFV) using transfer Function Analysis is a widely used technique to quantify CA in a non-invasive way. The objective of this review was to provide an overview of transfer Function techniques used in the assessment of CA. 113 publications were included. This literature showed that there is no gold standard for the execution and implementation of the transfer Function. There is a high diversity in settings and criteria used for transfer Function Analysis. Notable is also the high number of studies which report little on the settings. This disparity makes it difficult to replicate or compare the results of the different studies and further hinders the opportunity to make a distinction between intact and impaired CA in different patient groups. More research on the effects of different implementation techniques on CA results and optimization of the transfer Function Analysis is urgently needed. Furthermore, international guidelines should be created to inform the minimal description of the applied technique and the interpretation of transfer Function outcomes in scientific research.
