Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems. Academic Article uri icon

abstract

  • OBJECTIVE: The objective of this paper is to describe and evaluate an algorithm to reduce power usage and increase battery lifetime for wearable health-monitoring devices. METHODS: We describe a novel dynamic computation offloading scheme for real-time wearable health monitoring devices that adjusts the partitioning of data processing between the wearable device and mobile application as a function of desired classification accuracy. RESULTS: By making the correct offloading decision based on current system parameters, we show that we are able to reduce system power by as much as 20%. CONCLUSION: We demonstrate that computation offloading can be applied to real-time monitoring systems, and yields significant power savings. SIGNIFICANCE: Making correct offloading decisions for health monitoring devices can extend battery life and improve adherence.

published proceedings

  • IEEE Trans Biomed Eng

author list (cited authors)

  • Kalantarian, H., Sideris, C., Mortazavi, B., Alshurafa, N., & Sarrafzadeh, M.

citation count

  • 31

complete list of authors

  • Kalantarian, Haik||Sideris, Costas||Mortazavi, Bobak||Alshurafa, Nabil||Sarrafzadeh, Majid

publication date

  • March 2017