Abstract: This paper reports on real world project based experience and learning with computer information science and technology projects and Penn State University campuses (Mont Alto & York). Working on the real world experiences improve the collaboration with industry and emphasizes on the team projects. This paper also deals with reasons for developing and implementing the real world project approach in IT project management, system analysis and design courses and Capstone project courses. It will also outline the modifications that were gained after the first experiences with this type of approach. Finally, we summarize the student’s perspectives and learning experiences, as well as faculty experiences with collaborating with industry.

• Publication Date: 23-Jun-2012
• DOI: 105
• Views: 0
• Downloads: 0

Abstract: In this work, an information theoretic approach is proposed for principal component analysis (PCA) of multi-lead electrocardiogram signals. Clinical information is evaluated from the inverse of the diagonal eigenvalue matrix. It is termed as Clinical Entropy (Centropy). Clinical entropy (Centropy) based PCA method shows improved performance compared to the conventional PCA. The proposed method exhibits superior signal quality with higher cross correlation (CC), lower percentage root mean square difference (PRD) and lower root mean square error (RMSE) values.

• Publication Date: 23-Jun-2012
• DOI: 106
• Views: 0
• Downloads: 0