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自制股尺在股动脉股静脉穿刺中的应用 被引量:2
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作者 杨玲玲 《右江民族医学院学报》 2012年第3期371-372,共2页
目的介绍股尺的制作方法,探讨股尺在股动脉、股静脉穿刺定位中的临床应用。方法选择住院患者37例,利用自制股尺测量出腹股沟韧带的长度,计算出腹股沟韧带的中点位置,同时触摸患者的股动脉搏动点,然后计算出腹股沟韧带中点与股动脉搏动... 目的介绍股尺的制作方法,探讨股尺在股动脉、股静脉穿刺定位中的临床应用。方法选择住院患者37例,利用自制股尺测量出腹股沟韧带的长度,计算出腹股沟韧带的中点位置,同时触摸患者的股动脉搏动点,然后计算出腹股沟韧带中点与股动脉搏动点的差值,寻找其规律。结果 37例患者,有2例因肥胖无法触摸到股动脉搏动点,其余35例腹股沟韧带中点与股动脉搏动点的差值在0~1.85cm之间波动,左右侧腹股沟无明显差别,平均值为0.85cm。结论股动脉穿刺点应为:腹股沟韧带中点下方靠内侧(0.85±0.14)cm,股动脉搏动最明显处。股尺在股动静脉定位时简便、安全,特别在无法触及股动脉搏动时能提高穿刺成功率。 展开更多
关键词 股尺 动脉 静脉 穿刺术 定位
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股尺定位穿刺法在危重患者股静脉穿刺中的应用
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作者 张益香 汪杏 丁生英 《医学信息(医学与计算机应用)》 2014年第15期248-249,共2页
目的探讨股静脉穿刺方法及效果。方法成立培训小组,制作股尺,拟定穿刺方法,运用示教、模拟穿刺,带班护士实战指导等方法进行穿刺培训及指导。结果培训后,危重患者股静脉穿刺时间、一次穿刺成功率,差异均有统计学意义(<O.05)。结论股... 目的探讨股静脉穿刺方法及效果。方法成立培训小组,制作股尺,拟定穿刺方法,运用示教、模拟穿刺,带班护士实战指导等方法进行穿刺培训及指导。结果培训后,危重患者股静脉穿刺时间、一次穿刺成功率,差异均有统计学意义(<O.05)。结论股尺定位穿刺法,可以提高护士股静脉穿刺成功率,减少穿刺时间。 展开更多
关键词 股尺定位穿刺 危重患者 静脉 效果
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自制股尺在股动静脉穿刺中的应用
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作者 王彤华 杨玲玲 +1 位作者 李献凤 周雄丽 《中华现代护理杂志》 2015年第10期1222-1224,共3页
目的:评价自制股尺在股动静脉穿刺中的应用效果。方法选取2012年12月—2013年11月收治的100例患者作为观察组,采取自制股尺对患者进行测量计算,再进行股动脉、股静脉穿刺,选取2011年12月—2012年11月收治的100例患者作为对照组,对照组... 目的:评价自制股尺在股动静脉穿刺中的应用效果。方法选取2012年12月—2013年11月收治的100例患者作为观察组,采取自制股尺对患者进行测量计算,再进行股动脉、股静脉穿刺,选取2011年12月—2012年11月收治的100例患者作为对照组,对照组未使用自制股尺,直接进行股动脉、股静脉穿刺。比较两组穿刺成功率、患者及患者家属对穿刺情况的满意度。结果观察组股动脉、股静脉穿刺一次成功率分别为92%,90%,分别高于对照组的78%,76%,差异有统计学意义(χ^2=7.686,6.945;P〈0.01)。观察组患者总满意度94%,高于对照组的78%,差异有统计学意义( Z =-4.237,P〈0.01)。结论自制股尺运用后可提升一次穿刺成功率,并提升患者满意度,具有较高的临床价值。 展开更多
关键词 自制股尺 动脉穿刺 静脉穿刺
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Effect of twine thickness on size-selectivity of driftnet for the yellow croaker Larimichthys polyactis in southwestern Sea of Korea
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作者 Seonghun KIM Jihyun LIM +1 位作者 Kyounghoon LEE Seongwook PARK 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2016年第6期1199-1208,共10页
In order to determine the effect of twine thickness on the size-selectivity of the driftnet used for the yellow croaker, size-selectivity tests were conducted with three different twine thicknesses(monofi lament diame... In order to determine the effect of twine thickness on the size-selectivity of the driftnet used for the yellow croaker, size-selectivity tests were conducted with three different twine thicknesses(monofi lament diameters of 0.279 mm(number's method; No. 3), 0.321 mm(No. 4), and 0.360 mm(No. 5)) of driftnets for the yellow croaker in the seas around Chooja-do, Jeju Islands. The selectivity curve was estimated by using Kitahara's method. In order to determine the physical properties of the twine used in the experimental fi shing nets, we measured the breaking load, elongation, and stiffness under both dry and wet conditions. In terms of physical properties, the thinnest twine(No. 3) had the strongest breaking strength per unit cross-sectional area, along with good elongation and excellent fl exibility. The thickest twine(No. 5) had the lowest fl exibility. In terms of selectivity, the net of No. 3 twine showed the broadest selection range and, thus, a relatively low selectivity compared with the other nets, while the less fl exible net of No. 5 twine showed the narrowest selectivity range and high selectivity. In addition, it was found that a thicker twine resulted in a smaller haul of small fi sh. Therefore, it can be inferred that the thickness of the twine affects the size of the catch and selectivity, and thus the size composition of the catch as well. 展开更多
关键词 yellow croaker driftnet size selectivity Kitahara's method twine thickness
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Statistics in Stock Day Trading
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作者 Yingqiong Gu 《Journal of Mathematics and System Science》 2013年第4期187-189,共3页
Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders' trading model. We are looking f... Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders' trading model. We are looking for the direction of the market in a given timeframe. High-frequency traders will consider the potential profile-out position in millisecond level. Long-term holder will look into month time scale. For most of average traders, the ideal timeframe will be on daily base. In this paper, for a non-news trading day, the author will introduce statistics method to predict the stock prices and bid-ask spread for day trading. 展开更多
关键词 Stock trading algorithm trading stock statistics in stock trading stock trading strategies
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