170186 20260407115449.0 doi 10.1109/IECON58223.2025.11221225 sideral 148765 ART-2025-148765 eng Enériz, Daniel (orcid)0000-0001-5709-1183 A High-Performance FPGA Implementation of MI-BMINet 2025 This paper presents the FPGA implementation of MI-BMINet, a compact and efficient Convolutional Neural Network (CNN) designed for detecting Motor-Imagery (MI) tasks in embedded Brain-Computer Interface (BCI) systems. Utilizing fpgaConvNet, the MI-BMINet model is mapped into a Synchronous Dataflow Graph (SDFG), which was then optimized for minimum latency using the SAMO tool. The SDFG was subsequently converted into a hardware description, resulting in the MI-BMINet IP, which was tested with the ZU7EV MultiProcessor Systen on Chip (MPSoC) on the ZCU104 evaluation board. A specialized driver was developed to interface with the generated IP to assess its performance. The MI-BMINet IP achieved a latency of 594 μs, surpassing the implementation on the Vega Parallel Ultra-Low Power (PULP) platform by a factor of over five, at the cost of an increased power consumption and energy per inference. To mitigate this, a power reduction study was conducted, examining the effects of adjusting the FPGA clock frequency and supply voltage on power consumption, latency, and energy per inference, finally achieving a decrease of 75% in power consumption and a reduction of 33% in energy per inference. info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Antolín, Diego (orcid)0000-0003-4404-776X Medrano, Nicolás Universidad de Zaragoza (orcid)0000-0002-5380-3013 Calvo, Belén Universidad de Zaragoza (orcid)0000-0003-2361-1077 5008 250 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Electrónica (2025), 1-6 Annu. conf. IEEE Ind. Electron. Soc. Annual conference of the IEEE Industrial Electronics Society 2162-4704 443433 http://zaguan.unizar.es/record/170186/files/texto_completo.pdf Postprint 797306 http://zaguan.unizar.es/record/170186/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:170186 articulos driver 2026-03-26-14:31:16 ARTICLE