Sensor Systems and Health

Transcription

1 School of Innovation, Design & Engineering (IDT) Mälardalen University The Embedded Systems research area Sensor Systems and Health Mer-14 hearing, May 21, 2014 Associate professor Elisabeth Uhlemann Professor Maria Lindén Professor Mats Björkman Guest researcher Johan Åkerberg Associate professor Mikael Ekström

2 Verifica-on and valida-on 1 Direc(on 6 Research Areas Formal verifica-on Tes-ng Embedded Systems@MDH So@ware engineering Sensor systems and health Robo-cs and avionics Real- -me systems Wireless networks 3D Vision Timing analysis Life cycle processes Sensor technology Ar-ficial intelligence So@ware components Model- based development Run- -me systems Dependable systems Reliability Safety Security Availability

3 Sensor systems and Health (SSH) Competence in building complete sensor systems Sensors Signal processing Communication Decision support 3

4 Sensor Systems and Health (SSH) Main focus areas: ² Biomedical Sensor Systems: o o o Reliable acquisition of physiological parameters Signal processing of measurement data and artifact supression Decision support on complex data ² Computer Communication: o o o o Network performance measurements and prediction Wireless communication for sensor networks Predictable communication latency Reliable, safe, and secure data communication 4

5 Staff SSH 10 professors, 4 senior researchers, 19 PhD students, 5 teachers Full professors (4): Mats Björkman Maria Lindén Peter Funk (60%) Oguzhan Özcan (25%) Guest Professors (2): Hamid GholamHosseini (NEW) Miguel Angel Valero (NEW) Associate professors (4): Elisabeth Uhlemann Mikael Ekström (50%) Ning Xiong (60%) Mia Folke Senior researchers (4): Magnus Otterskog Shahina Begum (60%) Martin Ekström Johan Åkerberg (40%) Teaching staff (0% research, 5): Conny Collander Hans Bjurgren Stefan Löfgren Robert Suurna Joakim Wangborn PhD students (11): Gregory Koshmak Nikola Petrovic Marcus Bergblomma Shaibal Barua Miguel León Oritz Svetlana Girs Kan Yu Sara Abbaspour (NEW) Mattias Olausson (NEW) Per Hellström (NEW) Elena Lisova (NEW) Industrial PhD students (8): Tomas Olsson (Volvo) Jonas Ljungblad (Hök Instrument) Apala Ray (ABB) Torbjörn Ödman (Saab) Mudassar Aslam (SICS) Jiaying Du (Motion Control) Daniel Kade (Motion Control) Melika Hozhabri (Addiva) (NEW)

6 Staff SSH 10 professors, 4 senior researchers, 19 PhD students, 5 teachers NEW MEMBERS UNDER ongoing recruitments Full professors (4): Mats Björkman Maria Lindén Peter Funk Oguzhan Özcan (25%) Guest Professors (2): Hamid GholamHosseini (NEW) Miguel Angel Valero (NEW) Associate professors (4): Elisabeth Uhlemann Mikael Ekström Ning Xiong Mia Folke Senior researchers (4): Magnus Otterskog Shahina Begum Martin Ekström Johan Åkerberg (40%) Teaching staff (0% research, 5): Conny Collander Hans Bjurgren Stefan Löfgren Robert Suurna Joakim Wangborn PhD students (11): Gregory Koshmak Nikola Petrovic Marcus Bergblomma Shaibal Barua Miguel León Oritz Svetlana Girs Kan Yu Sara Abbaspour (NEW) Mattias Olausson (NEW) Per Hellström (NEW) Elena Lisova (NEW) Industrial PhD students (8): Tomas Olsson (Volvo) Jonas Ljungblad (Hök Instrument) Apala Ray (ABB) Torbjörn Ödman (Saab) Mudassar Aslam (SICS) Jiaying Du (Motion Control) Daniel Kade (Motion Control) Melika Hozhabri (Addiva) (NEW)

7 Staff SSH 10 professors, 4 senior researchers, 19 PhD students, 5 teachers NEW MEMBERS UNDER % RESEARCH + ongoing recruitments Full professors (4): Mats Björkman Maria Lindén Peter Funk Oguzhan Özcan (25%) Guest Professors (2): Hamid GholamHosseini (NEW) Miguel Angel Valero (NEW) Associate professors (4): Elisabeth Uhlemann Mikael Ekström Ning Xiong Mia Folke Senior researchers (4): Magnus Otterskog Shahina Begum Martin Ekström Johan Åkerberg (40%) Teaching staff (0% research, 5): Conny Collander Hans Bjurgren Stefan Löfgren Robert Suurna Joakim Wangborn PhD students (11): Gregory Koshmak Nikola Petrovic Marcus Bergblomma Shaibal Barua Miguel León Oritz Svetlana Girs Kan Yu Sara Abbaspour (NEW) Mattias Olausson (NEW) Per Hellström (NEW) Elena Lisova (NEW) Industrial PhD students (8): Tomas Olsson (Volvo) Jonas Ljungblad (Hök Instrument) Apala Ray (ABB) Torbjörn Ödman (Saab) Mudassar Aslam (SICS) Jiaying Du (Motion Control) Daniel Kade (Motion Control) Melika Hozhabri (Addiva) (NEW)

8 Strategic career development Strategic recruitment of younger PhDs (postdocs and assistant professors) Mentorship Postdoc programme (ES wide) Ongoing recruitment of 1 senior lecturer and 5 postdocs

9 Strategic co-production through industrial PhD students Academia gets real problems to work on Industry gets higher competence Academia sets research agenda Currently 8 industrial PhD students Graduated since 2011: 4 industrial PhDs

10 Examples of large projects 10

11 Embedded Sensor Systems for Health (ESS-H) Biomedical Sensor Systems Research profile supported by 36 MSEK from KKS (start 2013) 30 MSEK from industry (9 companies) Build up phase, on-going recruitments 2014 (2 full professors, 1 senior lecturer, 5 postdocs, 3 PhD students, 2 guest professors) Focus areas: Sensor systems for health monitoring at home Sensor systems for health at work

12 Biomedical Sensor Systems EU-FP7 project with 13 partners Networked system in the home consisting of environmental and physiological sensors Intelligent services which can extract high level activities based on sensor data and provide a robust system Provide services such as alarms which via the Giraff will allow healthcare professionals and family to enable timely involvement Test the system in a real homes around Europe and include user feedback in all steps of the system design

13 Tesla and Gauss Computer Communication Two sister projects , aimed at better understanding of industrial wireless environments. KKS + VINNOVA + industry: 18 MSEK Measurements of harsh industrial environments Development of models and methods for improved wireless communication in industrial environments 13

14 Ready Computer Communication KKS SIDUS distributed research environment , 30 MSEK Aiming at low and predictable communication latency Partners: SICS (coordinator), MDH, Karlstad University (KaU) Our focus: wireless networks and networks with wireless links 14

15 Cooperation in academic networks National Large national network Joint PhD students with Uppsala Univ., Örebro Univ., Linköping Univ., Dalarna Univ., Halmstad Univ., Swedish Inst. of Computer Science SIDUS distributed research environments: - 1 ongoing (READY) - 2 Phase-2 applications (TexIT, e-care@home) Collaboration with LiU, LU, Chalmers, OrU, HH, DU, UU, KTH, MiU, KaU, HB, Linné U, HKr, UmU, SICS, SWEREA, ACREO 15

16 Cooperation in academic networks International Collaboration in EU projects: GiraffPlus, RetNet, PainOut, Guest professors - Auckland University, New Zealand - UPM, Madrid - University of Catania Collaboration with Supélec Paris, UPC Barcelona, Bristol University, TU Vienna, FU Berlin, University of Malaga, CNR-ISTC Rome, CNR-ISTI Pisa, UMass 16

17 Cooperation Industrial and public sector Strategic co-production partners: ABB Corporate Research, Ericsson Research, Motion Control, Hök Instrument, Volvo CE, Västerås municipality, the County Council in Västmanland, Research & Development in Sörmland (all municipalities and the County Council in Sörmland), Centre for Clinical Research, Katrineholm Municipality Industrial collaboration Within ESS-H: Cambio Healthcare, DELTA, Addiva, Giraff Technologies, Hök Instrument, JC Development, Medfield Diagnostics, Motion Control, and Quality Pharma Other: ABB, Ericsson, VG Power, Telia AB, Netintact, Gatorhole Public sector: Within ESS-H: Västerås municipality, the County Council in Västmanland, Research & Development in Sörmland Industrial PhD student schools (RAP 2, ITS-EASY 5, RetNet 2) 17

18 NovaMedTech EU objective 2 project 60 MSEK (EU) 12 MSEK (partners) 60 SEK (in kind) Innovations and entrepreneurship in biomedical engineering Finalist in Regiostars (EU) Large network: Members: Collaborators: - 4 county councils - National - 2 municipalities - SIO programme Medtech 4 Health - 50 companies - 3 universities

19 Cooperation Key commissions Region responsible Västmanland of NovaMedTech M. Lindén Steering board member of MISTEL, the testbed of Västerås municipality - M. Lindén Member of the Steering group of the KKS-financed research profile Future Energy at MDH M. Lindén Scientific advisor in Biomedical Engineering for the National Board of Health and Welfare in Sweden since 2006 M. Lindén Member of the Advisory Board of the Doctoral Training Center of EIT ICT Labs at Royal Institute of Technology J. Åkerberg Scientific advisor in communication for media technology, BTH M. Björkman 19

20 Examples of research results Biomedical Sensor Systems Sensor system and reliable data acquisition develpment has e.g. resulted in a patented a method to determine the lactate threshold, a wireless ECG system, an alco-sensor principle, an optical sensor system measuring vascular parameters, characteristics of textile electrodes, motion analysis sensor systems as gyroscopic-based alternative computer mouse. Algorithm and signal processing development has resulted in a lab system for microwave imaging and algorithms for inverse scattering problems to provide image reconstruction from experimental data, and algorithms for robust heart beat detection recorded by textile electrodes, algorithms for fall detection using built in sensors in a smart phone. Intelligent decision support systems has developed systmes forcase based reasoning with application in stress medicine, paincontrol (EU-FP7), and monitoring of drivers. 20

21 Examples of research results Computer Communication Network capacity measurements and estimations resulting in the TOPP method and improvements to the BART analysis method. This work has been done in coproduction with industry, in particular with Ericsson Research and Telia AB. Dependable and predictable wireless networks We have contributed to the design, implementation and analysis of wireless industrial control systems. We have improved wireless communication in harsh industrial environments at the MAC layer and network layer. Energy characteristics of wireless communication We have investigated energy consumption issues for Bluetooth communication as well as more general energy consumption characteristics. 21

22 Citations H-index for the SSH environment: H- index The senior researcher s individual cita(on data 7 # of cita(ons i to i- 10 for SSH [i- X = X publica(ons with at least X cita(ons] 130 SSH s contribution to ES - 53 journal publications (of 147) i i- 500 i- 250 i- 100 i- 50 i- 30 i- 20 i conference publications (of 804) - 33 other publications (of 1123)

23 Examples of impact Important publications: A new end-to-end probing and analysis method for estimating bandwidth bottlenecks, B Melander, M Bjorkman, P Gunningberg, Global Telecommunications Conference, A seminal paper with over 500 citations (502 citations ), presenting the TOPP method. Real-time measurement of end-to-end available bandwidth using kalman filtering Svante Ekelin, Martin Nilsson, Erik Hartikainen, Andreas Johnsson, J-E Mangs, Bob Melander, M Bjorkman Network Operations and Management Symposium, NOMS The major publication of the BART method. 99 citations Future research challenges in wireless sensor and actuator networks targeting industrial automation Johan Akerberg, Mikael Gidlund, M Bjorkman Industrial Informatics (INDIN). Already cited by

24 Examples of impact Research results into products: LACTA Gyromouse Alcosensor BART - Real-time measurement of end-to-end available bandwidth using kalman filtering implemented in Ericsson routers and base stations. The environment has produced 14 PhDs and an additional 6 licentiates, 15 of these are now active in industry 24

25 Future directions Continue building complete systems Sensors Signal processing Communication Decision support New research subject: Health technology More intelligent and autonomous systems Safety Security Wireless New sensing possibilites Miniatyrization, new materials as textile Following trends, preventive actions

26 Challenges Resources Recruitments! Restricted amount of faculty funding Much time spent on writing applications for funding Research Wireless communication with predictable latency Security in wireless real-time communication Distributed signal processing and decision support Personal integrity for wireless monitoring 26

27 Strengths of SSH Competence in building complete sensor systems; the sensors, signal processing, communication, decision support Good track record in attracting research funding Strong collaboration with industry and public sector Strong national and international research collaboration Good working spirit! 27