The Development of Mobile Health Monitoring Systems

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课程主页: https://www.coursera.org/archive/mobile-health-monitoring-systems

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课程大纲

Remote health monitoring system hardware
Data Exchange Between Device And Personal Computer
Preprocessing of Biomedical Signals
Event Detection in Biomedical Signals

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This join course created by SPSU and ETU includes 5 modules dedicated to different stages of the system development. Its modules represent several widely separated fields of biomedical engineering. We interconnect them by applying the knowledge from them all to a common task – the development of a prototype of an mHealth ECG system with built-in data-driven signal processing and analysis. Working on this task throughout the course, you will acquire a knowledge on how these branches of science, including electronics, mathematics, data science and programming are applied together in a real project. Pieces of hardware and software, as well as the data sets that we utilize in this course are the same components that we use in our work developing prototypes of devices and algorithms for our tasks in science and engineering. The course is a joint work of Saint Petersburg State University and Saint Petersburg Electrotechnical University ETU ("LETI"). Note that the goal of the course is not to provide you with fundamental knowledge on any of the topics highlighted in the modules, but to give you some useful skills on implementing them in practical tasks.

移动健康监控系统的开发:由SPSU和ETU创建的此联合课程包括5个模块,专门用于系统开发的不同阶段。它的模块代表了生物医学工程的几个广泛分离的领域。我们通过将所有知识运用于一项常见任务,从而将它们互连在一起–开发mHealth ECG系统的原型,该原型具有内置的数据驱动信号处理和分析功能。在本课程的整个过程中,您将获得有关如何将这些科学分支(包括电子,数学,数据科学和编程)一起应用于实际项目的知识。我们在本课程中使用的硬件和软件以及数据集与我们在开发用于科学和工程任务的设备和算法原型的工作中使用的组件相同。 该课程是圣彼得堡国立大学和圣彼得堡电工大学ETU(“ LETI”)的联合作品。 请注意,本课程的目的不是向您提供有关模块中突出显示的任何主题的基础知识,而是为您提供一些在实际任务中实施这些知识的有用技能。

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