EE Seminar: Comprehensive Observation in Embedded Systems; A Healthcare Wearable Example
Event details
| Date | 25.07.2019 |
| Hour | 15:00 › 16:00 |
| Speaker | Nima Taherinejad is an assistant professor at TU Wien with a research interest in self-aware cyber-physical systems, health-care, embedded systems, and systems on chip. He has authored two books and more than forty research articles and held several tutorials and talks regarding self-awareness (especially in health-care embedded systems) in reputable conferences and universities. He has received several awards and scholarships from universities and conferences he has attended, including the best paper award at MobiHealth 2017, Digilent Design Contest, and Week of Open-Source Hardware. Dr. Taherinejad is a co-founder and a co-organizer of Self-aware cyber-Physical Systems (SelPhyS) workshops. He chaired the "7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth)" and served as the guest editor of "Mobile Networks and Applications (MONET) Journal" and "Sensors" which feature two special issues on mobile health-care and wearable medical devices. |
| Location | |
| Category | Conferences - Seminars |
Abstract : Design engineers continuously work on the common challenges that embedded systems face, however, some of these improvements are rather slow (e.g., battery life-time) and some of them are in contradictions with one another (e.g., better sensors and more complex algorithms against the battery life-time). This calls for a different type of solutions; self-aware system design. Self-aware systems monitor themselves, their resources, behavior, and environment to make decisions which bring them closer to their dynamic goals. Recently, system self-awareness methods have been used in Wearable Medical Devices such as Early Warning Score (EWS) and Epileptic Seizure detection, where they showed a great promise by reducing their power consumption (thus extending their usage time) and increasing their reliability. In this talk I will focus on simple principles of a comprehensive observation, as an enabler of self-awareness, and how these techniques can improve the performance of embedded systems. In particular, I present their usage in an example of EWS assessment using wearable devices.
Practical information
- General public
- Free
Organizer
- Dr. Amir Aminifar and Prof. David Atienza, Embedded Systems Laboratory (ESL), Institute of EE (IEL), Faculty of Engineering (STI)
Contact
- [email protected] / +41 21 69 31131