结合科研的模式识别教学改革尝试——以ECG信号分类为例

Exploration of pattern recognition's teaching reform based on scientific research——Taking ECG signal classification as an example

模式识别是电子信息和相关专业的重要专业课程,但目前该课程内容与实际相结合的程度还不够,不利于学生通过理论与实际相结合来提高学习效果。为此,结合在心电图(ECG)信号处理方面的最新研究进展,从课程教学手段、教学方法的改进及教学内容的完善等方面,对该课程做了教学研究、探讨和实践。以ECG信号处理为例,进行模式识别中数据获取、预处理、特征选择和提取、分类决策等环节的教学讲解,以调动学生的学习积极性,提高他们的动手能力,培养他们跟踪新知识的能力。

Pattern recognition is an important major course for electronic information engineering and the related majors.However,the content of the course is not so tightly combined with the real applications now,which is not good for students to improve the effect by learning the theory in the course in applications.In this paper,the teaching method and the content of the course were studied and practiced according to the new progress in ECG signal processing.The four key parts of pattern recognition,data acquisition,data pre-processing,feature selection and extraction,and classification decision,were taught with the example of electrocardiogram（ECG）signal processing.By promotion of the teaching content,the students＇enthusiasm is stimulated and their operational ability is improved.And their ability totrack the new knowledge is trained.