Collimating micro-lens fiber array for noncontact near-infrared diffuse correlation tomography

Near-infrared diffuse correlation spectroscopy/tomography (DCS/DCT) has recently emerged as a noninvasive measurement/imaging technology for tissue blood flow. In DCT studies, the high-dense collection of light temporal autocorrelation curves (g₂(τ)) via fiber array are critical for image reconstruction of blood flow. Previously, the camera-based fiber array limits the field of view (FOV), precluding its applications on large-size human tissues. The line-shape fiber probe based on lens combination, which is predominantly used in current DCT studies, requires rotated-scanning over the surface of target tissue, substantially prolonging the measurement time and increasing the system instability. In this study, we design a noncontact optical probe for DCT based on collimating micro-lens fiber array, termed as FA-nc-DCT system. For each source/detector fiber, a single optical path was collimated by coupling with one micro-lens in the fiber array that is integrated in a square-shape base. Additionally, an 8×8 optical switch is used to share the hardware laser and detectors without spatial scanning. The FA-nc approach for the precise collection of g₂(τ) curves was validated through a speed-varied phantom experiment and the human experiments of cuff occlusion, from which the expected value of the blood flow index (BFI) was obtained. Furthermore, the flow anomaly in the phantom and the ischemic muscle in human were accurately reconstructed from the FA-nc-DCT system, which is combined with the imaging framework based on the Nth-order linear algorithm that we recently created. Those outcomes demonstrated the great potential of FA-nc-DCT technology for fast and robust imaging of various diseases such as human breast cancers.     

2022年北京冬奥会定点医院医疗卫生保障实践

2022年北京冬奥会是全球瞩目的盛事，如何有效提升延庆赛区定点医院医疗卫生保障能力是冬奥会筹办过程中需要解决的重大课题。文章系统总结延庆赛区冬奥定点医院医疗保障特点、主要做法和经验，旨在为今后大型赛事定点医院的医疗保障提供参考。     

基于物联网的医院消防安全管理

医院消防物联网将原本与网络无关的消防设施和网络结合起来,将消防监督管理、防火灭火所需的相关信息进行汇总,可以让医院更加轻松地发现和处理医院的警情信息,降低火灾发生频率。医院火灾的特点医院是人员密集场所,发生火灾时,极容易出现踩踏等问题,进而严重威胁群众的生命财产安全。医院拥有大量贵重的医疗设备,一旦这些医疗设备发生火灾,将带来巨大损失。医院内部老弱病残者居多,发生火灾时,人员转移困难,很多患者由于自身问题难以快速逃生,增加了救护的难度。     

基于国家专利的中药复方治疗化学性肝损伤用药规律研究

目的分析国家专利治疗化学性肝损伤的组方用药规律,为新药研发及相关专利的申请提供参考。方法以国家知识产权局中国专利公布公告网站收录的授权专利为资料来源,使用Microsoft Excel 2018建立数据库,对中药频次与分类进行统计分析;采用SPSS Statistic 21.0和SPSS Modeler 15.0对高频中药(频次≥10)进行性味归经分析、系统聚类分析、关联度与网络分析。结果纳入专利100项,涉及中药186味,以葛根最为常见;高频中药15味,药味以甘为主,药性以温、平为主,多归脾、肝经;聚类分析得到7组中药组合;二项、三项和四项关联规则分别为6、24、2项,各项组合分别为6、16、2项;核心药物为葛根、五味子、丹参、甘草、山楂、枸杞子、黄芪、柴胡、姜黄和枳椇子。结论中药复方治疗化学性肝损伤常用补虚、解表、化瘀、活血、渗湿及利水药;临证多采用疏肝理气之剂,适当伍以柔润之品。