NECST Friday Talk
Reconfigurable Embedded Systems Applications for Versatile Biomedical Measurements
Luca Cerina
DEIB Research Assistant in Computer Architecture - Politecnico di Milano
DEIB - NECST Meeting Room (Building 20, basement floor)
March 3rd, 2017
12.00 pm
Contact:
Marco Santambrogio
Research Line:
System architectures
Luca Cerina
DEIB Research Assistant in Computer Architecture - Politecnico di Milano
DEIB - NECST Meeting Room (Building 20, basement floor)
March 3rd, 2017
12.00 pm
Contact:
Marco Santambrogio
Research Line:
System architectures
Abstract
Nowadays, the majority of the monitoring devices used in clinical settings is limited to specific applications and powered by highly specialised micro-controllers and pre-programmed DSP systems. Moreover, these kind of devices are usually connected to a high capacity battery to operate in case of power blackout. Nevertheless, considering that all the measured bio-signals depends from an amperometric or potentiometric transducer, it should be viable to integrate them on a single device with multiple probes, reprogrammable sensor-fusion capabilities and on-board signal processing. Within this context, in this paper, we present a design concept for such a device. Exploiting FPGA reconfigurability, various analog front-ends can be connected to the device and configured to return the measured signal or the output of the desired signal processing to the user. Multiple case studies with different sensors and end-user applications are described. The high degree of parallelism and the reduced frequency of the embedded FPGA coprocessor make it suitable for all the applications that are subject to medium/low power and cost constraints such as portable Point-of-Care devices or emergency medical centers.
This research is part of the DReAMS Research Line @ NECST and it has been partially supported by “A Challenges Driven Design for Effective and Efficient Automatic Mobile Computing Architectures" project.
This research is part of the DReAMS Research Line @ NECST and it has been partially supported by “A Challenges Driven Design for Effective and Efficient Automatic Mobile Computing Architectures" project.