复小波在脑电同步性研究中的应用

基于小波变换的基本原理，研究了如何应用复小波量化信号同步程度；针对脑电信号的生理特点，提出了先对信号进行小波多尺度分解，提取信号主要特征，再用复小波（complex Corrected Morlet Wavelet）对信号做同步量化的方法；应用仿真数据和真实动物脑电信号验证了此方法在脑电信号同步性分析中的可行性和有效性。     

神经诊断性检查在诊断儿童自身免疫性脑炎中的应用

目的 本研究收集确诊和疑诊为自身免疫性脑炎（autoimmune encephalitis,AE）的儿童患者,并进行磁共振（MRI）和脑电图（EEG）检查。回顾性的识别儿童AE患者的特异性MRI和脑电图改变,为以后快速诊断该疾病提供临床证据。方法 本研究收集从2009~2013年在笔者医院就诊为自身免疫性脑炎的儿童患者。通过指南进行筛选,汇总患者相关信息,并把患者分为确诊组和疑诊组。同时收集患者头部MRI和EEG结果,观察AE患者MRI的主要病变部位和EEG的异常波形,并进行共性分析。结果 本研究最终纳入18例符合纳入标准的AE患者,其中9例为确诊患者,9例为疑诊患者。18例纳入患者中有17例患者至少做过1次头部MRI。其中13例患者MRI结果有异常。笔者在9例确诊患者中发现7例患者有边缘系统的病变,且多累积双侧但不对称。5例疑诊患者具有异常的MRI显影,这些病变累积到额外的皮质（包括颞叶、顶叶和枕叶）,且同样是累积双侧但不对称。18例纳入研究的患者中有16例患者进行了EEG检查。其中主要的改变有非特异性的背景波形改变,常规慢波和局灶性慢波。且在5例患者的EEG中发现了睡眠时纺锤样改变。结论 本研究发现大部分AE患者都存在头部MRI和EEG异常。确诊为自身免疫性脑炎的儿童患者接受头部MRI检查后发现病变主要集中在边缘系统,且大部分患者的EEG呈现癫痫样放电,少数患者中发现EEG呈纺锤样改变。     

弓形虫感染的脑电与头颅CT对比观察

弓形虫病（ｔｏｘｏｐｌａｍｏｓｉｓ）是由刚地（ｇａｎｄｉｉ）弓形引起的一种寄生虫病。世界各地广泛分布,中国从１９５７年开始报告临床病例,但脑电改变报告不多。本文拟就探讨其脑电及ＣＴ的变化。所有２４例病人均经间接血凝试验（ＩＨＡ）检查明确诊断,并做脑电检测及头颅ＣＴ扫描。结果发现２４例脑电全部为程度不等的异常,异常率１００％。头颅ＣＴ扫描２０例中有８例阳性病灶,阳性率４０％。结论是系统症状原弓形虫感     

基于小波提升算法的脑电节律提取

小波变换在信号处理中有着广泛的应用,能同时分析时域和频域方面的信息,但是传统的小波变换依赖于傅立叶变换,有大量的卷积运算,运算速度较慢.该文讨论了第二代小波变换的原理,并采用它来处理脑电信号.提升算法作为构造第二代小波的关键技术,通过预测确定高频信息,更新后得到正确的低频信息,它不依赖于傅立叶变换,大大提高了运算速度.通过分析提升算法的基本原理,用第二代小波变换实现了对脑电信号的节律(δ、θ、α、β)提取,并得到了令人满意的效果.     

Global production networks in the passenger aviation industry

Although the number of directions which geographical research on transport is taking has recently increased, the extent to which transport geography capitalises on theoretical advancements made in other sub-disciplines of human geography is still fairly limited. This especially pertains to economic geography which, in contrast to the predominantly positivist and quantitative transport geography, has developed over the last few decades a more post-positivist and qualitative profile. By means of focusing on passenger air transport – one of the most neglected industries in economic geography – this paper aims to help bridge this gap. Three under-researched aspects of air transport are identified and a combination of two economic-geographical approaches – global production networks (GPN) and evolutionary economic geography (EEG) – is advocated as a useful conceptual basis for further, more qualitative and more critical research on this dynamic sector. The paper argues that GPN and EEG would help research on air transport to: (1) employ network thinking beyond the infrastructural understanding of networks of air connections and thus better explain the multi-actor nature of the aviation sector, (2) complement the research on supra-national and national regulatory frameworks with more attention to the array of sub-national environments that shape the aviation industry ‘from below’, and (3) explore how the relations between aviation and economic development are moulded by different place-specific institutional factors. To lay foundations under further research the paper conceptualises the aviation industry as a global production network and uses the example of Polish passenger air transport to highlight the paper’s key empirical implications.