Connected Healthcare: paving the way for a user-centered and preventive healthcare model with the help of ubiquitous sensing and computing technologies
语言: English
课程信息
Content
- This lecture provides an introduction into Connected Healthcare: paving the way for a user-centered and preventive healthcare model with the help of ubiquitous sensing and computing technologies
- Methods include wearable and ambient sensor data processing, basic statistical methods and relevant methods from machine learning and data mining.
- Applications include physiological signal processing, social signal processing, affective computing, context-aware computing and Internet-of-Health-Things.
- There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.
Examination
- Write a research proposal which targets a specific problem that can benefit from Connected Healthcare.
- Conduct a feasibility study which covers certain aspects of your proposal.
- Present your proposal and the feasibility study in the lecture.
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Learners
该课程提供者
Prof. Dr.-Ing. Bert Arnrich is Professor for Digital Health – Connected Healthcare at the Digital Health Center of the Hasso Plattner Institute. His research on ubiquitous sensing and computing technologies is directed towards paving the way for transforming healthcare systems from purely managing illness to maintaining wellness everywhere, anytime and for anyone. He has been a PI in several European and national projects. He has co-authored over 120 refereed research publications. He studied "Informatics in the Natural Sciences" and received the PhD degree Dr.-Ing. for the thesis "Data Mart Based Research in Heart Surgery" from Bielefeld University in 2006. He established and headed the research group Pervasive Healthcare in the Wearable Computing Laboratory at ETH Zurich between 2006 and 2013. He received an EU FP7 Marie Curie Cofound Fellowship in 2013 and was appointed to tenure track professorship at the Computer Engineering Department at Bosporus University until 2017. Between 2017 and 2018 he worked as a Science Manager for Emerging Technologies at Accenture Technology Solutions.