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学生对 圣彼得堡国立大学 提供的 The Development of Mobile Health Monitoring Systems 的评价和反馈

17 个评分
5 条评论


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 using MATLAB environment (the course requires a licences copy of MATLAB)....

1 - The Development of Mobile Health Monitoring Systems 的 5 个评论(共 5 个)

创建者 Aribayashi A

May 26, 2020

This class is practical and brilliant! Lectures are understandable, and teachers are helpful! However, some assignments are not so clear. The statement of assignments can be improved in the future.

创建者 Çağın Ç

Aug 28, 2019

more practical training is needed in this area :)

创建者 Sasikumar G

May 23, 2019


创建者 Deleted A

Jun 9, 2020


创建者 Jose A

May 20, 2020

El curso es excelente en cuanto a contenido y método de enseñanza. Los profesores dominan los temas y brindan orientación personalizada y grupal con poco tiempo de espera. Pienso que hizo falta integrar todos los contenidos en el desarrollo de un sistema y observar el comportamiento en tiempo real. Estoy muy agradecido con la Universidad de San Petersburgo y el grupo docente del curso.