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跌倒

与 跌倒 相关的网络例句 [注:此内容来源于网络,仅供参考]

We tumble most of the time for our advantage but not for our disadvantage,Because disadvantage always served as a reminder to us,while advantage deprive us of the right to choose and to abnegate.

许多时候,我们不是跌倒在自己的缺陷上,而是跌倒在自己的优势上,因为缺陷常能给我们以提醒,而优势却常常使我们忘了去选择和放弃。

There is bout later, it carried cotton on the back, think to fall again, OK and Alexandrine second same, when going to the side of the river then, fall intentionally in water.

后来有一回,它背了棉花,以为再跌倒,可以同上次一样,于是走到河边的时候,便故意跌倒在水里。

The old people in beadhouse of Nanhai District fall down the occurrence rate higher, the health of the serious influence old people, the beadhouses should adopt to correspond the measure to prevent old people from fall down.

南海区养老院内老年人跌倒发生率较高,严重影响老年人的健康,养老院应该采取相应措施预防老年人跌倒

The purpose of this study was to estimate the risk of falls among elderly citizens by using a check list.

本研究目的是以跌倒危险评估表评量老人跌倒的危险因子。

The rate of falling down in the past year for the old people in Taiwan was 19.5%,and the recurrent fall in the all faller was 39.9%.

本研究重要发现如下:台湾地区老人过去一年的跌倒比率为19.5%,老人过去一年的重复性跌倒跌倒者比率39.9%。

Such situations always consume much amount of medical cost. In order to solve these afflictive problems, the retrospective patients' medical history data to the amount of 3496 from one medical center hospital in Taipei were employed in this research. These data include both faller and non-faller's Electronic Medical Records. The objective of this research is to establish an Artificial Neural Networkmodel combined with EMR for the prediction of inpatient falls. Such method could be further used to provide a safe care for the patients and reduce the medical cost.

为解决长存於各医疗院所之此一困扰问题,本研究将以回溯性之方式收集台北市某医学中心住院病患电子病历资料(含三年跌倒组及非跌倒组计3496笔),希望藉由本研究所建立之类神经网路模型,进一步地准确预测住院跌倒之发生,以确保病人安全,降低医疗成本。

In fall-down detection, since multiple fall-down patterns are considered, the recognition accuracy of the fall down system is improved from 0.73 to 0.87 and the Kappa value is improved from 0.47 to 0.75. These results show that we have proposed an effective fall down detecting system in this thesis.

跌倒辨识方面,由於考量了多种跌倒模式使得系统辨识率由先前的0.73提升至0.87,系统信赖度Kappa值由0.47提升至0.75,因此可以证明本论文提出一个能有效侦测跌倒的辨识系统。

There are no statistically significant difference in age, gait, home environment, and physical function between fallers and nonfallers.

本研究的跌倒发生率为32%,平均年龄73.9岁,跌倒的地点以门或入口处发生跌倒比例最高,达45%。

The strength of dorsifexors of fallers was found 7.5 times less than that of control group of nonfallers.

下腿肌力是影响静态平衡,动态平衡,走路和预防跌倒的因素。跌倒者比不跌倒者的屈足背力量少7.5倍。

Models of physical activity, functional fitness, and the number of fall, and the fall efficacy among elderly according to different living arrangement and health status perceptions were identified.

本研究发现人口学变项、自觉健康、跌倒资讯的有无等变项和身体活动、体适能的交互作用,可以解释20.3%跌倒次数与28.6%跌倒效能的变异量。

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