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Contained local compression on peri-ascending aortic area for postoperative bleeding control:a case report 被引量:1
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作者 Su Young Yoon Si-Wook Kim +1 位作者 Dohun Kim Jong-Myeon Hong 《The Journal of Biomedical Research》 CAS CSCD 2021年第1期72-74,共3页
After type A acute aortic dissection(AAD)repair or modified Bentall procedure,uncontrollable bleeding from the anastomotic sites of the fragile dissected tissues or aortic root area is a critical situation to a cardia... After type A acute aortic dissection(AAD)repair or modified Bentall procedure,uncontrollable bleeding from the anastomotic sites of the fragile dissected tissues or aortic root area is a critical situation to a cardiac surgeon.For postoperative care,lots of blood transfusion with strict monitoring on the patient all night and subsequent reoperation for the bleeding control is usually needed.We managed to make contained local compression of upper half of the heart,from upper part of the right ventricle to just above the innominate vein,using bovine pericardium with closing both sides of transverse sinus in two cases of uncontrolled postoperative bleeding(bleeding from distal anastomotic site in type-A AAD and valve sitting site in modified Bentall procedure).Even though reoperations for the removal of packed gauges were done in both cases 2 days later,postoperative courses at intensive care unit were very smooth with little need for transfusion.This kind of contained local compression trial could be a useful strategy for dealing with the malignant uncontrollable bleeding from the fragile aortic tissue or root area after acute dissection or aortic root repair. 展开更多
关键词 uncontrollable bleeding contained local compression aortic dissection aortic root repair
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Source-Space Compressive Matched Field Processing for Source Localization
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作者 王好忠 王宁 +1 位作者 高大治 高博 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第4期60-63,共4页
Source localization by matched-field processing (MFP) can be accelerated by building a database of Green's functions which however requires a bulk-storage memory. According to the sparsity of the source locations i... Source localization by matched-field processing (MFP) can be accelerated by building a database of Green's functions which however requires a bulk-storage memory. According to the sparsity of the source locations in the search grids of MFP, compressed sensing inspires an approach to reduce the database by introducing a sensing matrix to compress the database. Compressed sensing is further used to estimate the source locations with higher resolution by solving the β -norm optimization problem of the compressed Green's function and the data received by a vertieal/horizontal line array. The method is validated by simulation and is verified with the experimental data. 展开更多
关键词 of SSC MFP in Source-Space Compressive Matched Field Processing for Source Localization for that IS
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