DocumentCode :
2405137
Title :
Energy-efficient multihypothesis activity-detection for health-monitoring applications
Author :
Thatte, Gautam ; Li, Ming ; Emken, Adar ; Mitra, Urbashi ; Narayanan, Shri ; Annavaram, Murali ; Spruijt-Metz, Donna
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4678
Lastpage :
4681
Abstract :
Multi-hypothesis activity-detection using a wireless body area network is considered. A fusion center receives samples of biometric signals from heterogeneous sensors. Due to the different discrimination capabilities of each sensor, an optimized allocation of samples per sensor results in lower energy consumption. Optimal sample allocation is determined by minimizing the probability of misclassification given the current activity state of the user. For a particular scenario, optimal allocation can achieve the same accuracy (97%) as equal allocation across sensors with an energy savings of 26%. As the number of samples is an integer, further energy reduction is achieved by developing an approximation to the probability of misclassification which allows for a continuous-valued vector optimization. This alternate optimization yields approximately optimal allocations with significantly lower complexity, facilitating real-time implementation.
Keywords :
biomedical telemetry; biometrics (access control); body area networks; health care; patient monitoring; real-time systems; sensor fusion; wireless sensor networks; biometric signal; continuous-valued vector optimization; energy reduction; energy-efficient multihypothesis activity-detection; health monitoring; heterogeneous sensor; misclassification probability; real-time implementation; wireless body area network; Algorithms; Conservation of Energy Resources; Electrocardiography; Models, Biological; Monitoring, Physiologic; Signal Processing, Computer-Assisted; Telemetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334222
Filename :
5334222
Link To Document :
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