Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm
Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm
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DOI：
10.1109/icdsp.2018.8631655
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
Ahmad Moniri;I. Kisil;A. Constantinides;D. Mandic
中科院分区：
文献类型：
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作者：
Ahmad Moniri;I. Kisil;A. Constantinides;D. Mandic
得益于最近人与技术日益交织在一起的现象，我们证明这也为数字信号处理（DSP）教育者提供了一个范式转变的机会，通过将课程与技术和教育发展同步来保持课程的最新状态。我们在这个方向上的第一步是将研究带入课堂，通过生物存在，这使我们能够围绕学生自身生理信号的分析来集中几个经典的DSP主题。这不仅有助于学生参与好奇心驱动的学习，还有助于拓宽他们对下一代医疗保健、创业的看法，并了解他们的学位与技术进步的相关性。使用学生自己的脑电图（ECG）来阐明当前和新兴DSP概念的案例研究支持该方法，并包括从基线漂移去除（非平稳性）到多尺度方法和大数据DSP的示例。
Benefiting from the recent phenomenon that people and technology are becoming increasingly intertwined, we demonstrate that this also represents a paradigm–shift opportunity for Digital Signal Processing (DSP) educators to keep the curriculum current by syncing it to technological and educational developments. Our own first step in this direction was to bring research into the classroom, through bio–presence, which allowed us to center several classic DSP topics around the analysis of students’ own physiological signals. This not only facilitates student engagement in curiosity-driven learning but also helps to broaden their perspective on next-generation health care, entrepreneurship, and to appreciate the relevance of their degree with respect to technological advancements. Case studies on the use of students’ own Electroencephalogram (ECG) to illuminate both current and emerging DSP concepts support the approach, and include examples ranging from baseline drift removal (nonstationarity) to multiscale approaches and DSP for Big Data.