A Wireless Instrumentation Control System Based on Low-Cost Single Board Computers. - Daniel Enériz; Nicolás Medrano; Belén Calvo; Jorge Pérez-Bailón (I2MTC, 2020)

Live Demonstration: A Low-Cost Wireless Instrumentation Control System. - Daniel Enériz; Nicolás Medrano; Belén Calvo (ISCAS, 2020)

Motor-Imagery EEGNet-Based Processing on a Low-Spec SoC Hardware. - Ana Caren Hernandez-Ruiz; Daniel Enériz; Nicolás Medrano; Belén Calvo (IEEE SENSORS, 2021)

A Wireless Instrumentation Control System Based on Low-Cost Single Board Computer Gateways. - Daniel Enériz Orta; Nicolás Medrano; Belén Calvo (IEEE Access, 2021)

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Nicolás Medrano; Belén Calvo; Gustavo M. Callicó (CinC, 2022)

Real-Time EEG Acquisition System for FPGA-based BCI. - Daniel Enériz; Nicolás Medrano; Belén Calvo; Ana Caren Hernandez-Ruiz; Diego Antolín (DCIS, 2022)

10 mA Precision Contactless Current Sensing Using Low-Cost Hall-Effect Devices. - Nicolás Medrano; Diego Antolín; Belén Calvo; Daniel Enériz (DCIS, 2022)

Low-power EEGNet-based Brain-Computer Interface implemented on an Arduino Nano 33 Sense. - Daniel Enériz; Nicolás Medrano; Belén Calvo; Diego Antolín (DCIS, 2023)

High Resolution Current Measurement Using TMR Sensors. - Nicolás Medrano; Diego Antolín; Daniel Enériz; Belén Calvo (DCIS, 2023)

Low-Power Implementation of a U-Net-based Model for Heart Sound Segmentation on a Low-Cost FPGA. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Gustavo M. Callicó; Nicolás Medrano; Belén Calvo (DSD, 2024)

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Javier Balea-Fernández; Gustavo M. Callicó; Nicolás Medrano; Belén Calvo (IEEE Trans. Instrum. Meas., 2024)