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1.
目的:针对目前心电监护系统在穿戴式、实时性和数据分析上存在的不足之处,设计一种基于穿戴式智慧衣的心电远程实时监护系统。方法:该系统包括穿戴式智慧衣、Android智能手机App和私有云服务器3个部分。通过穿戴式智慧衣实时采集老年人心电信号。Android智能手机App通过无线蓝牙技术接收心电数据,实时传输心电数据到私有云服务器。私有云服务器接收智能手机传输的心电数据,采用基于机器学习的心电分类算法对心电数据进行房颤检测。云端服务器的云端心电图实时监护平台实时显示心电图和心电分析结果,辅助社区监护人员监护老年人心电。结果:心电分类算法的房颤检测效果较好,该系统的心电数据采集和数据远程传输可靠,监护功能运行正常。结论:该系统可以在社区中对老年人进行心电远程实时监护和房颤检测。  相似文献   
2.
结合光学字符识别技术构建基于安卓的中药学习与分析平台,详细阐述平台设计开发与具体实现, 指出该平台有助于中医药相关领域人员学习与研究中药理论与中药药性配伍规律。  相似文献   
3.
利用智能手机平台和蓝牙实现温度数据的实时传输显示.使用Arduino Uno r3板采集DS18B20数字温度传感器采集的温度数据,通过HC-05蓝牙将数据传输给Android系统的智能手机,实现温度数据的传输.利用Java语言编写Android开发环境下的应用程序,可以实现实时温度数据显示、存储和绘制出温度波动图形.温度传感器经过实验测试,满足人体体温测量精度和准确度.该文可以为其他移动医疗手机智能产品开发提供借鉴.  相似文献   
4.
ObjectiveTo estimate the effects of adipocytokines on the metabolic and endocrine features, and the obstetric outcome in pregnant women with polycystic ovary syndrome (PCOS).DesignProspective cross sectional study.Main outcome measures: plasma concentration of adipocytokines, insulin resistance/hyperinsulinism (IR/HI), lipid profile, androgens and obstetric outcome.Materials and methodsThe study included hundred pregnant PCOS (PPCOS) women with android obesity (group 1), 100 pregnant non-PCOS women with android obesity (group 2), 100 PPCOS women with gynoid obesity (group 3), and 100 pregnant non-PCOS women with gynoid obesity (group 4). All patients in the four groups were primigravidae and women with PCOS (groups 1 and 3) became pregnant after treatment with clomiphene citrate and/or gonadotropins.Plasma concentrations of fasting glucose, fasting serum insulin, insulin sensitivity by quantitative insulin sensitivity check index (QUICKI), serum concentrations of triglycerides (TGs), total cholesterol (TC), high density lipoprotein cholesterol, (HDL-c), low density lipoprotein cholesterol (LDL-c); plasma adipocytokines: interleukin (IL)-10, adiponectin (both are insulin sensitizers and anti-inflammatory), pro-inflammatory cytokines: IL-6, prothrombin activator inhibitor-1(PAI-1), high sensitivity C-reactive protein (hsCRP); serum total testosterone (TT), sex-hormone binding globulin (SHBG), free androgen index (FAI) were estimated for the four groups between 22 and 24 weeks’ gestation Glucose loading test was done at 22–24 weeks’ gestation to check for gestational diabetes mellitus and if normal it was repeated at 30–34 weeks. Gestational hypertension (GH), preeclampsia (PE) and preterm labor (PTL) (delivery <37 weeks’ gestation) were recorded.ResultsGroups 1 and 2 with android obesity had IR/HI, (QUICKI < 0.331 ± 0.010). Groups 3 and 4 with gynoid obesity had normal insulin sensitivity (NIS), (QUICKI > 0.331 ± 0.010). Serum concentration of TGs, LDL-c, and plasma concentration of IL-6, PAI-1, hsCRP were significantly higher in groups 1 and 2 than groups 3 and 4. Serum HDL-c, plasma IL-10 and adiponectin were significantly higher in groups 3 and 4 than groups 1 and 2. Serum TT and FAI were significantly higher in groups 1 and 3 (cases of PPCOS) than their controls. There was no significant difference in the serum concentration of TC between the four groups.Incidence of spontaneous early miscarriage (SM) in groups 1, 2, 3, and 4 was 36%, 12%, 33%, and 11% respectively. Incidence of SM was significantly higher in PPCOS than non-PCOS pregnancy irrespective of the type of obesity.Rate of late pregnancy complications, GDM, GH, PE and PTL was significantly higher in groups 1 and 2 with android obesity than groups 3 and 4 with gynoid obesity. There was no significant difference in the rates of cesarean section (CS) between the 4 groups. The rates of neonatal complications and perinatal mortality were significantly higher in groups 1 and 2 (android obesity) than groups 3 and 4 (gynoid obesity).Conclusion
  • 1.TT and FAI were significantly higher in PPCOS with android obesity than PPCOS with gynoid obesity.
  • 2.Incidence of early SM (9–12 weeks) was significantly higher in PPCOS than in non-PCOS pregnancy irrespective of the type of obesity.
  • 3.Incidence of late-onset pregnancy complications, GDM, GH, PE and PTL was significantly higher in patients with android obesity than patients with gynoid obesity. PCOS per se seemed to be not related to the incidence of late-onset pregnancy complications.Pregnant patients with android obesity, (both PCOS and non-PCOS) with diminished serum concentration of anti-inflammatory cytokines, and increased serum concentration of pro-inflammatory cytokines had IR/HI and dyslipidemia. Pregnant patients with gynoid obesity, (both PCOS and non-PCOS) with normal serum concentration of anti- and pro-inflammatory cytokines had NIS and normal lipid profile.
  • 4.In pregnancy with android obesity patients had reduced plasma concentration of IL-10 and increased concentration of IL-6 which may impair the development of the placenta with increased risk of PTL.
  • 5.Neonatal complications and perinatal mortality were significantly higher in PPCOS with android obesity than PPCOS with gynoid obesity.
  相似文献   
5.
阐述制约移动医疗信息系统在中小型医院发展的因素,总结在中小型医院建设移动医疗信息系统的策略,分析安卓系统作为医疗信息系统开发平台的优点,在此基础上设计一个适合中小型医院的移动医疗信息系统的模型,详细介绍系统设计原则、结构、为客户端提供服务的方式等方面。  相似文献   
6.
借助条码、专用腕带、无线局域网,依托医院信息系统和电子病历系统,开发出基于Android智能终端的移动护理系统并应用于临床。将医院信息系统向病房扩展和延伸,实现了护士的床边操作,优化了护理工作流程,提高了工作效率,保障了工作质量,提升了护理管理水平和病人满意度。  相似文献   
7.
The potential usefulness of smartphones in the medical field is evolving everyday. This article describes various tools available on smartphones, largely focusing on the iPhone, for the examination of an ophthalmic patient, for patient and physician education, as well as reference tools for both ophthalmologists and vision researchers. Furthermore, the present article discusses how smartphones can be used for ophthalmic photography and image management, and foremost, the usefulness of the applications such as the Eye Handbook for the ophthalmologist and interested students, patients, physicians, and researchers, currently available in the iPhone.  相似文献   
8.
目的:应用移动信息技术,提高病区护理质量和效率,优化护理工作流程。方法:借助条码、专用腕带、无线局域网,依托医院信息系统和电子病历系统,开发出基于Android智能手机的移动护理系统并应用于临床。结果:将医院信息系统延伸到病人床边,保证了医嘱执行、护理数据采集、护理任务管理,减少了护理差错,提高了工作效率和质量。结论:移动护理系统的成功实施,使医嘱和护理任务的执行更为规范合理,提升了护理管理水平和医院形象。  相似文献   
9.
Building artificial humans to understand humans   总被引:1,自引:1,他引:0  
If we could build an android as a very humanlike robot, how would we humans distinguish a real human from an android? The answer to this question is not so easy. In human–android interaction, we cannot see the internal mechanism of the android, and thus we may simply believe that it is a human. This means that a human can be defined from two perspectives: one by organic mechanism and the other by appearance. Further, the current rapid progress in artificial organs makes this distinction confusing. The approach discussed in this article is to create artificial humans with humanlike appearances. The developed artificial humans, an android and a geminoid, can be used to improve understanding of humans through psychological and cognitive tests conducted using the artificial humans. We call this new approach to understanding humans android science.  相似文献   
10.
Abstract

Irisin (Ir), a recently identified adipo-myokine, cleaved and secreted from the protein FNDC5 in response to physical activity, has been postulated to induce the differentiation of a subset of white adipocytes into brown fat and to mediate the beneficial effects on metabolic homeostasis. Metabolic syndrome (MS), a cluster of factors leading to impaired energy homeostasis, affects a significant proportion of subjects suffering from polycystic ovary syndrome (PCOS). The aim of our study was to investigate the relationship between Ir plasma concentrations and metabolic disturbances. The study group consisted of 179 PCOS patients and a population of 122 healthy controls (both groups aged 25–35 years). A subset of 90 subjects with MS was isolated. A positive association between Ir plasma level and MS in the whole group and in controls was found. In subjects with high adipose body content (>40%), Ir was higher than in lean persons (<30%). Our results showed a significant positive association between Ir concentration and android type of adipose tissue in the whole study group and in the control group. Understanding the role of Ir in increased energy expenditure may lead to the development of new therapeutics for obesity and obesity-related diseases.  相似文献   
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