Published November 1, 2018
| Version v1
Journal article
Open
Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring
Authors/Creators
- 1. Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy
- 2. Consiglio Nazionale delle Ricerche-Istituto per il Rilevamento Elettromagnetico dell'Ambiente (CNR-IREA), 80124 Napoli, Italy
Description
Microwave imaging can effectively image the evolution of a hemorrhagic stroke thanks to the dielectric contrast between the blood and the surrounding brain tissues. To keep low both the form factor and the power consumption in a bedside device, we propose implementing a microwave imaging algorithm for stroke monitoring in a programmable system-on-chip, in which a simple ARM-based CPU offloads to an FPGA the heavy part of the computation. Compared to a full-software implementation in the ARM CPU, we obtain a 5× speed increase with hardware acceleration without loss in accuracy and precision.
Files
fulltext.pdf
Files
(923.2 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:0421fd510504e20ee66f2e41603f58ea
|
923.2 kB | Preview Download |