Internet of Things (IoT) is enhancing the intelligence of the societies through a rapid transition to a smarter, automatic, responsive world due to the dramatic increase in the number of sensors deployed around the world. Collecting, modeling, and reasoning data generated by sensors play a crucial role in data analysis. Analyzing and interpreting real-time information transmitted through heterogeneous wireless networks are challenges that IoT applications encounter. Complex Event Processing (CEP) is a data stream tracking method used to extract the meaningful data obtained from the network results in real-time decision making. Instance data analysis, early diagnosis, and effective treatment of patients through the massive volume of data are considered indispensable parameters that have made the healthcare industry more reliant on real-time event processing than other industries. To achieve actionable insights, forecasting anomaly, and increasing healthcare quality, applying the CEP method is introduced in this area. In this paper, an event-driven IoT architecture is presented for data analysis of reliable healthcare applications, including context, event, and service layers. Dependability parameters are considered in each layer, and the CEP method as a novel solution and automated intelligence is applied in the event layer. Implementation results showed that the CEP method increased reliability, reduced costs, and improved healthcare quality.

物联网（IoT）通过迅速过渡到更智能，自动响应的世界来增强社会的智能，这是因为全球部署的传感器数量急剧增加。传感器生成的数据的收集，建模和推理在数据分析中起着至关重要的作用。分析和解释通过异构无线网络传输的实时信息是物联网应用程序遇到的挑战。复杂事件处理（CEP）是一种数据流跟踪方法，用于从网络结果中提取有意义的数据，以进行实时决策。实例数据分析，早期诊断，通过海量数据对患者进行有效治疗是必不可少的参数，这些参数使医疗保健行业比其他行业更加依赖实时事件处理。为了获得可行的见解，预测异常并提高医疗质量，在此领域引入了CEP方法。在本文中，提出了一种事件驱动的物联网架构，用于可靠医疗保健应用程序的数据分析，包括上下文，事件和服务层。在每一层都考虑了可靠性参数，事件层应用了CEP方法作为一种新颖的解决方案和自动化智能。实施结果表明，CEP方法提高了可靠性，降低了成本并提高了医疗质量。预测异常并提高医疗质量，在该领域引入了CEP方法。在本文中，提出了一种事件驱动的物联网架构，用于可靠医疗保健应用程序的数据分析，包括上下文，事件和服务层。在每一层都考虑了可靠性参数，事件层采用了CEP方法作为一种新颖的解决方案和自动化智能。实施结果表明，CEP方法提高了可靠性，降低了成本并提高了医疗质量。预测异常并提高医疗质量，在该领域引入了CEP方法。在本文中，提出了一种事件驱动的物联网架构，用于可靠医疗保健应用程序的数据分析，包括上下文，事件和服务层。在每一层都考虑了可靠性参数，事件层采用了CEP方法作为一种新颖的解决方案和自动化智能。实施结果表明，CEP方法提高了可靠性，降低了成本并提高了医疗质量。在每一层都考虑了可靠性参数，事件层应用了CEP方法作为一种新颖的解决方案和自动化智能。实施结果表明，CEP方法提高了可靠性，降低了成本并提高了医疗质量。在每一层都考虑了可靠性参数，事件层应用了CEP方法作为一种新颖的解决方案和自动化智能。实施结果表明，CEP方法提高了可靠性，降低了成本并提高了医疗质量。