Subject

Wearable devices are power-constrained embedded devices. Such a power limitation becomes critical when considering front ends composed of arrays of sensors. The additional computational power demand quickly drains the battery level if an efficient power management is not considered. Nowadays microcontrollers offer different low-power modes, which can be exploited towards power efficiency and longer battery life.

Kind of work

The objective of this master thesis is to evaluate the available low-power modes of microcontrollers to be exploited towards power efficient biomedical wearable devices. Several realistic applications in the biomedical domain will be used for this evaluation. The ultimate goal is to propose general guidelines to exploit power modes for biomedical devices.

Framework of the Thesis

At ETRO we are developing a multitude of wearable devices exploiting heterogeneous sensor arrays.

Number of Students

1

Expected Student Profile

Interested in embedded systems, wearables and/or hardware accelerators.
Experience with Python, C/C++ and/or Matlab programming languages.