000170125 001__ 170125
000170125 005__ 20260318155255.0
000170125 0247_ $$2doi$$a10.1016/j.rineng.2026.109764
000170125 0248_ $$2sideral$$a148641
000170125 037__ $$aART-2026-148641
000170125 041__ $$aeng
000170125 100__ $$0(orcid)0000-0003-4361-6676$$aVelarte, Antonio$$uUniversidad de Zaragoza
000170125 245__ $$aA modular soft core-based system for affordable acquisition and processing of electrophysiological recordings
000170125 260__ $$c2026
000170125 5060_ $$aAccess copy available to the general public$$fUnrestricted
000170125 5203_ $$aFlexible low-cost platforms for high-fidelity recording of biological signals are essential to advance health monitoring applications, yet they often rely on proprietary hardware that is resource-intensive and expensive. This study introduces a cost-effective FPGA platform that embeds an ARM Cortex M1 soft core processor with custom logic for signal acquisition, signal conditioning, artifact suppression, and data management, which is built around an Intan RHD2000 headstage. On-chip routines perform automatic offset calibration and gain calibration to ensure measurement fidelity. A graphical user interface, co-developed with biomedical end users, ensures compliance with data rate and timing constraints, enables live visualization, and streamlines parameter configuration. Bench validation using a multichannel test generator reproducing cardiac field potentials up to ± 2 mV and bandwidths up to 5 kHz demonstrated stable timing, low crosstalk, and accurate amplitude reconstruction. Platform performance matches that of commercial multielectrode array systems, with minor deviations attributed to interconnection effects. Together, these results provide an accessible and extensible platform that preserves measurement fidelity while lowering the barrier to adoption in resource constrained laboratories.
000170125 536__ $$9info:eu-repo/grantAgreement/ES/DGA/LMP 94-21$$9info:eu-repo/grantAgreement/ES/DGA/T23-23R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-140556OB-I00$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00
000170125 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000170125 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000170125 700__ $$0(orcid)0009-0005-9285-2546$$aCastel, Antonio
000170125 700__ $$0(orcid)0000-0003-1403-1505$$aOtin, Aranzazu$$uUniversidad de Zaragoza
000170125 700__ $$0(orcid)0000-0001-5348-924X$$aOlivan-Viguera, Aida
000170125 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000170125 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000170125 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000170125 773__ $$g29 (2026), 109764 [11 pp.]$$tResults in Engineering$$x2590-1230
000170125 8564_ $$s8328352$$uhttps://zaguan.unizar.es/record/170125/files/texto_completo.pdf$$yVersión publicada
000170125 8564_ $$s2742731$$uhttps://zaguan.unizar.es/record/170125/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000170125 909CO $$ooai:zaguan.unizar.es:170125$$particulos$$pdriver
000170125 951__ $$a2026-03-18-13:52:49
000170125 980__ $$aARTICLE