Víctor Toral

Isolated AC–DC Converters for High-Density USB-PD Adapters: A Comparative Review of Topologies and Future Trends

Noel Rodríguez, Diego Pedro Morales, Jorge Perez-Martinez, Cristina Martos-Contreras et autres

The transition of the USB Power Delivery (USB-PD) standard from fixed 5–20 V profiles to the dynamic extended power range (EPR) of up to 48 V and 240 W has redefined the constraints of isolated AC–DC conversion for high-density adapters and chargers. …

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Smart colorimetric temperature sensor with thermoresponsive polymers and automatic image-based identification

Carmen López-León, Pablo Salcedo‐Abraira, César Moyano, Víctor Toral et autres

Temperature monitoring is essential across multiple sectors, including healthcare, logistics, and safety. Achieving accurate measurement under diverse conditions in a cost-effective, and sustainable manner remains a key challenge for both the scientific community and industry. In this context, we present the development …

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Correction: Energy harvesting for sustainable electronics: Challenges and opportunities

Sonia Gómez‐Gijón, Francisco José Romero, Víctor Toral, Almudena Rivadeneyra

The text of this article has been updated.On page 6, the text "from 16.2% for an available input power of -17 dBm at 2.4 GHz, [76] 2% for an input power of 10 dBm at 5 GHz.[77] " was corrected to read …

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Energy harvesting for sustainable electronics: Challenges and opportunities

Sonia Gómez‐Gijón, Francisco José Romero, Víctor Toral, Almudena Rivadeneyra

Abstract The increasing demand for Internet of Things (IoT) devices has revolutionized multiple industries but it has also raised significant concerns about electronic waste and energy consumption. Energy harvesting (EH) presents a sustainable alternative by enabling self-powered electronic systems that reduce battery …

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1-D Convolutional Autoencoder for Fetal and Maternal ECG Classification Oriented to Hardware Implementation Acceleration

Rubén Padial-Allué, Alberto Martín-Martín, Encarnación Castillo, Víctor Toral et autres

This paper presents a Deep Learning-based method for fetal and maternal heart rate monitoring, specifically designed for efficient hardware implementation. The proposed approach minimizes computational load by eliminating the denoising and filtering stages. The abdominal electrocardiogram (aECG) signal is thus segmented into …

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ENHANCING DIGITAL SYSTEM LEARNING WITH EXPANSION BOARDS FOR FPGA DEVELOPMENT KITS

Encarnación Castillo, Antonio García, Diego Pedro Morales, Luis Parrilla et autres

Charge-controlled memcapacitors for the output voltage ripple reduction in DC-DC buck converters

Francisco José Romero, Víctor Toral, Diego Pedro Morales, Noel Rodríguez

Memcapacitors, due to their variable capacitance and non-volatile memory effect, are expected to cause a disruption across different areas of research and engineering. In the context of power electronics, memcapacitors have not yet been considered despite their potential for ripple reduction, voltage …

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Remote R-Peak Detection in Single-Lead ECG Chest Monitors Using Clustering Classification and Laser-Induced Graphene Electrodes

Denice Gerardo, Yann Houeix, Álvaro García-Ávila, Víctor Toral et autres

This study presents a complete system for remote single-lead electrocardiogram (ECG) monitoring using a wearable device equipped with dry laser-induced graphene (LIG) electrodes. First, we evaluated the feasibility of LIG electrodes for chest ECG acquisition across different volunteers and over extended recording …

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Printed technology as a comprehensive paradigm for circular economy of electronics

Tatiana Robledo-Mahón, Sonia Gómez‐Gijón, Álvaro Blasco, Víctor Toral et autres

Abstract The increasing demand for high-performance electronics and sustainability challenges, requires innovative recycling technologies. This study explores the potential of fungal microorganisms in degrading conductive inks, promoting their circular economy integration. Taking advantage of the ability of fungi to process complex compounds, …

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Simple Clustering-Based Algorithm for R-Peak Detection in Single-Lead ECG Chest Monitors

Denice Gerardo, Víctor Toral, Yann Houeix, Encarnación Castillo et autres

This study presents a simple algorithm for R-peak detection in single-lead electrocardiograms (ECG) acquired on the chest of various volunteers using a wearable device. To achieve a balance between computational efficiency and detection accuracy, the proposed algorithm consists of two optimized stages …

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Future Trends in Alternative Sustainable Materials for Low-Temperature Thermoelectric Applications

Víctor Toral, Sonia Gómez‐Gijón, Francisco José Romero, Diego Pedro Morales et autres

In the evolution of pervasive electronics, it is imperative to significantly reduce the energy consumption of power systems and embrace sustainable materials and fabrication processes with minimal carbon footprint. Within this context, thermoelectric generators (TEGs) have garnered substantial attention in recent years …

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Graphene-Enabled Wearable for Remote ECG and Body Temperature Monitoring

Víctor Toral, Yann Houeix, Denice Gerardo, Isabel Blasco-Pascual et autres

This paper presents a comprehensive study on the synthesis, characterization, and integration of laser-synthetized graphene-based materials in a wearable device for non-invasive physiological monitoring. Laser-induced graphene (LIG) and Laser-reduced graphene oxide (LrGO) materials are synthetized and characterized under different techniques to analyze …

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