This project was a prototype of ECG, using a AT-Mega (Arduino) processor and performing the acquisition and signal processing of an ECG signal.
Real-Time embedded system using an ATMega and VEML3060 sensor to monitor the stress level of patients with anger control difficulties 
Brain Implantable Device fabricated using Polymide Dupont Pyralux AP8535R and powered using Wireless Power Transmission for wireless power and communication. Device encapsulated with biocompatible material. 
Published in Educational Innovation Project of University of Malaga Conference Days , 2016
The purpose of this communication is to make a bibliographic review of Quantum Dots methods and their applications in the field of Biotechnology. Quantum dots (QDs) are a novel class of inorganic fluorophores, which are gaining widespread recognition as a result of their exceptional photophysical properties.
Published in Ariel-Revista de filosofía, 22, 23-29, 2018
The progress in human enhancement technology is a key factor in the human history. Its main development is leaded by biohacker communities that drives this technological revolution with projects worthy of science fiction
Published in Telos, 2019
Philosophical analysis about the situation of biohacker communities and the implications on the human enhancement technologies.
Published in 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2019
This paper presents a neural implant that is powered wirelessly using a flexible biocompatible antenna. We have applied a modular structure approach to the design of this device considering three modules of antenna, conditioner circuit and shank. The implant was fabricated using a flexible substrate of Polyimide and encapsulated by PDMS for chronic implantation. In addition, finite element method COMSOL Multiphysics simulation of mechanical forces acting on the implant and shank was carried out to validate a viable shank conformation-encapsulation combination that will safely work under operational stress with a satisfactory margin of safety.
Published in 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2020
This paper introduces a novel configuration for a wirelessly powered and modular implantable device, fabricated using flexible electronics. The neural implant, which is based on Wireless Power Transfer, comprises a receiver antenna, a power management circuit, and a shank for power transmission, recording, and stimulation.
Published in Advanced Science, 2021
This paper presents challenges in engineering and neuroscience in developing miniaturized and biointegrated alternatives, in the form of microelectrode probes. Progress in design and topology of neural implants has shifted the goal post toward highly specific recording and stimulation, targeting small groups of neurons and reducing the foreign body response with biomimetic design principles. Implantable device design recommendations, fabrication techniques, and clinical evaluation of the impact flexible, integrated probes will have on the treatment of neurological disorders are provided in this report.
Published in 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 2021
Microelectrode arrays (MEA) arise as a promising technology enabling detection of local field potentials from multiple locations and permitting the acquisition of more information on brain network electrical activity than conventional electrophysiology techniques. However, whereas most of the electrophysiological studies addressing brain activity have focused on events/patterns analysis, no one has so far addressed the features that might be hidden within the signal baseline. In this paper, I performed an analysis of the Microelectrode Array Signal to study all the features and frequency content of this signal.
Published in Plos one, 20(1), e0309550, 2025
Researchers have addressed the challenge of detecting and classifying events from ongoing brain activity with computationally inexpensive implementations by developing two algorithms: ZdensityRODE and AMPDE. These algorithms utilize time series segmentation (TSS) to extract different levels of information from LFPs and identify relevant events.
Published in 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025
A proposed approach combines a Z-test-based spike detection algorithm with a heuristic decision tree to differentiate between interictal and ictal events. This algorithm operates in real-time to segment local field potentials (LFP) recorded via microelectrode arrays (MEA), aiming for minimal latency and low power requirements in detecting seizure onsets.
Published:
The purpose of this communication is to make a bibliographic review of Quantum Dots methods and their applications in the field of Biotechnology. Quantum dots (QDs) are a novel class of inorganic fluorophores, which are gaining widespread recognition as a result of their exceptional photophysical properties.