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J. Low Power Electron. Appl. 2018, 8(4), 43; https://doi.org/10.3390/jlpea8040043

Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring

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
*
Author to whom correspondence should be addressed.
Received: 26 September 2018 / Revised: 27 October 2018 / Accepted: 31 October 2018 / Published: 1 November 2018
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Abstract

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. View Full-Text
Keywords: biomedical imaging; embedded systems; system-on-chip; hardware accelerator; field-programmable gate array biomedical imaging; embedded systems; system-on-chip; hardware accelerator; field-programmable gate array
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Sarwar, I.; Turvani, G.; Casu, M.R.; Tobon, J.A.; Vipiana, F.; Scapaticci, R.; Crocco, L. Low-Cost Low-Power Acceleration of a Microwave Imaging Algorithm for Brain Stroke Monitoring. J. Low Power Electron. Appl. 2018, 8, 43.

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