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Energy-efficient multihypothesis activity-detection for health-monitoring applications.

Publication ,  Conference
Thatte, G; Li, M; Emken, A; Mitra, U; Narayanan, S; Annavaram, M; Spruijt-Metz, D
Published in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
January 2009

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.

Duke Scholars

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2009

Volume

2009

Start / End Page

4678 / 4681

Related Subject Headings

  • Telemetry
  • Signal Processing, Computer-Assisted
  • Monitoring, Physiologic
  • Models, Biological
  • Electrocardiography
  • Conservation of Energy Resources
  • Algorithms
 

Citation

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Thatte, G., Li, M., Emken, A., Mitra, U., Narayanan, S., Annavaram, M., & Spruijt-Metz, D. (2009). Energy-efficient multihypothesis activity-detection for health-monitoring applications. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2009, pp. 4678–4681). https://doi.org/10.1109/iembs.2009.5334222
Thatte, Gautam, Ming Li, Adar Emken, Urbashi Mitra, Shri Narayanan, Murali Annavaram, and Donna Spruijt-Metz. “Energy-efficient multihypothesis activity-detection for health-monitoring applications.” In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2009:4678–81, 2009. https://doi.org/10.1109/iembs.2009.5334222.
Thatte G, Li M, Emken A, Mitra U, Narayanan S, Annavaram M, et al. Energy-efficient multihypothesis activity-detection for health-monitoring applications. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2009. p. 4678–81.
Thatte, Gautam, et al. “Energy-efficient multihypothesis activity-detection for health-monitoring applications.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2009, 2009, pp. 4678–81. Epmc, doi:10.1109/iembs.2009.5334222.
Thatte G, Li M, Emken A, Mitra U, Narayanan S, Annavaram M, Spruijt-Metz D. Energy-efficient multihypothesis activity-detection for health-monitoring applications. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2009. p. 4678–4681.

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2009

Volume

2009

Start / End Page

4678 / 4681

Related Subject Headings

  • Telemetry
  • Signal Processing, Computer-Assisted
  • Monitoring, Physiologic
  • Models, Biological
  • Electrocardiography
  • Conservation of Energy Resources
  • Algorithms