Jayapandian Catherine P, Chen Chien-Hung, Bozorgi Alireza, Lhatoo Samden D, Zhang Guo-Qiang, Sahoo Satya S
Division of Medical Informatics, Case Western Reserve University, Cleveland, OH, USA.
Stud Health Technol Inform. 2013;192:817-21.
Epilepsy is the most common serious neurological disorder affecting 50-60 million persons worldwide. Electrophysiological data recordings, such as electroencephalogram (EEG), are the gold standard for diagnosis and pre-surgical evaluation in epilepsy patients. The increasing trend towards multi-center clinical studies require signal visualization and analysis tools to support real time interaction with signal data in a collaborative environment, which cannot be supported by traditional desktop-based standalone applications. As part of the Prevention and Risk Identification of SUDEP Mortality (PRISM) project, we have developed a Web-based electrophysiology data visualization and analysis platform called Cloudwave using highly scalable open source cloud computing infrastructure. Cloudwave is integrated with the PRISM patient cohort identification tool called MEDCIS (Multi-modality Epilepsy Data Capture and Integration System). The Epilepsy and Seizure Ontology (EpSO) underpins both Cloudwave and MEDCIS to support query composition and result retrieval. Cloudwave is being used by clinicians and research staff at the University Hospital - Case Medical Center (UH-CMC) Epilepsy Monitoring Unit (EMU) and will be progressively deployed at four EMUs in the United States and the United Kingdomas part of the PRISM project.
癫痫是全球最常见的严重神经系统疾病，影响着5000万至6000万人。电生理数据记录，如脑电图（EEG），是癫痫患者诊断和术前评估的金标准。多中心临床研究的趋势日益增长，需要信号可视化和分析工具来支持在协作环境中与信号数据进行实时交互，而传统的基于桌面的独立应用程序无法提供这种支持。作为癫痫性猝死死亡率预防和风险识别（PRISM）项目的一部分，我们使用高度可扩展的开源云计算基础设施开发了一个名为Cloudwave的基于网络的电生理数据可视化和分析平台。Cloudwave与名为MEDCIS（多模态癫痫数据捕获与集成系统）的PRISM患者队列识别工具集成。癫痫与发作本体（EpSO）为Cloudwave和MEDCIS提供支持，以支持查询组合和结果检索。大学医院-凯斯医疗中心（UH-CMC）癫痫监测单元（EMU）的临床医生和研究人员正在使用Cloudwave，作为PRISM项目的一部分，它将逐步部署在美国和英国的四个EMU中。
