An event-based BSN middleware that supports seamless switching between sensor configurations

IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Volumn , Issue , 2012, Pages 503-511

  Seeger, Christian ^a   Buchmann, Alejandro ^a   Van Laerhoven, Kristof ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Body sensor networks; Event based; Fitness application; Middleware; Smartphone

Indexed keywords

ACTIVITY LEVELS; EMBEDDED SENSORS; EVENT-BASED; EVENT-DRIVEN ARCHITECTURES; FEASIBILITY STUDIES; HEALTH MONITORING; HEALTH-CARE SYSTEM; INERTIAL SENSOR; MODULAR SYSTEM DESIGN; SEAMLESS SWITCHING; SENSOR CONFIGURATIONS; WEARABLE SENSORS; WIRELESS SENSOR;

BODY SENSOR NETWORKS; HEALTH CARE; RECREATIONAL FACILITIES; SENSORS; SIGNAL ENCODING; SMARTPHONES; SYSTEMS ANALYSIS;

MIDDLEWARE;

EID: 84857698661     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2110363.2110420     Document Type: Conference Paper

References (16)

1. Google. Android OS. http://www.android.com/,2011. [Online; accessed 31-January-2011].
2. D. Guerra, U. Gawlick, and P. Bizarro. An integrated data management approach to manage health care data. DEBS, pages 40:1-40:2, 2009.
3. V. Jones, A. Van Halteren, N. Dokovsky, G. Koprinkov, J. Peuscher, R. Bults, D. Konstantas, W. Ing, and R. Herzog. MobiHealth: Mobile Services for Health Professionals, in M-Health: Emerging Mobile Health Systems. Springer-Verlag New York Inc, 2006.
4. L. R. Keytel, J. H. Goedecke, T. D. Noakes, H. Hiiloskorpi, R. Laukkanen, L. Van Der Merwe, and E. V. Lambert. Prediction of energy expenditure from heart rate monitoring during submaximal exercise. Journal of Sports Sciences, 23(3):289-297, 2005. (Pubitemid 40425769)
5. P. Khan, A. Hussain, and K. S. Kwak. Medical Applications of Wireless Body Area Networks. International Journal of Digital Content Technology and its Applications, 3(3):185-193, 2009.
6. P. Neves, M. Stachyra, and J. Rodrigues. Application of wireless sensor networks to healthcare promotion. Journal of Communications Software and Systems (JCOMSS), 4(3):181-190, 2006.
7. Partnership of the Heart. Telemedical interventional monitoring in heart failure. http://www.partnership-for-the-heart.de/en/, 2011. [Online; accessed 01-April-2011].
8. PowerTutor. A Power Monitor for Android-Based Mobile Platforms. http: //ziyang.eecs.umich.edu/projects/powertutor/, 2011. [Online; accessed 23-March-2011].
9. RAE Systems. Lifeshirt - personal life sign monitor. http://www. raesystems.com/products/lifeshirt, 2011. [Online; accessed 01-April-2011].
10. C. Seeger, K. Van Laerhoven, and A. Buchmann. myHealthAssistant: A Phone-based Body Sensor Network that Captures the Wearer's Exercises throughout the Day. In Body Area Networks (BodyNets), 2011.
11. J. Singh and J. Bacon. Event-based data dissemination control in healthcare. Electronic Healthcare, pages 167-174, 2009.
12. K. Van Laerhoven and H.-W. Gellersen. Spine versus porcupine: A study in distributed wearable activity recognition. In International Symposium on Wearable Computers (ISWC), pages 142-149, 2004. (Pubitemid 40701063)
13. World Health Organization. Integrating prevention into health care. http://www.who.int/mediacentre/factsheets/fs172/en/index.html, 2011. [Online; accessed 01-April-2011].
14. J. Yang and Z. Liu. Adacem: automatic daily activity and calorie expenditure monitor on mobile phones. In Proceedings of the Conference on Embedded Networked Sensor Systems, SenSys '10, pages 409-410, 2010.
15. Zepyhr Technology Corporation. Consumer HxM. http://www.zephyr- technology.com/consumer-hxm, 2011. [Online; accessed 31-January-2011].
16. L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, and L. Yang. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis, CODES/ISSS '10, pages 105-114, New York, NY, USA, 2010. ACM.