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Guillermo SahoneroPontificia Universidad Católica de Chile | UC · Institute for Biological and Medical Engineering
Guillermo Sahonero
Bachelor of Engineering
Working on Magnetic Resonance Imaging: Deep Learning applications to the data processing pipeline.
About
23
Publications
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114
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Introduction
Additional affiliations
February 2016 - July 2022
Education
February 2011 - July 2016
Publications
Publications (23)
Space traveling, extra-planetary exploration and even colonization requires to replicate our capabilities of manufacturing under non-entirely known environments and conditions. With the recent, yet always present, interest on colonizing spaces like the Moon or even Mars, space-based Additive Manufacturing (AM) has been considered for enabling space...
Airborne diseases are easy to spread in any population. The advent of COVID-19 showed us that we are not prepared to control them. The pandemic has drastically posed challenges to the daily functioning of public and private establishments. In general, while there have been several approaches to reduce the potential risk of spreading the virus, many...
Corruption is a legal and moral contravention that generates great concern among nations due to its erosive effects on economic growth, democracy, governance, social equity and the integrity of culture. Therefore, it is necessary to know more about the multiple variables that produce and maintain this phenomenon. This article reports the results of...
Background
In the last decades, the P300 Speller paradigm was replicated in many experiments, and collected data were released to the public domain to allow research groups, particularly those in the field of machine learning, to test and improve their algorithms for higher performances of brain-computer interface (BCI) systems. Training data is ne...
COVID-19 pathology is characterized by a variety of symptoms, from respiratory to cardiac and even neuronal affections. However, from all of these manifestations, lungs’ affection remains a focus of attention due to being considered as the main cause of death. Respiratory failure is treated using different strategies, but a very common practice is...
Gait Recognition, as a way to identify people, is remarkably attractive for scenarios in which it is not possible to rely on subjects' collaboration. Nevertheless, from all the modalities that Gait Recognition involve, vision-based approaches are better to meet hardware and settings-limitations. Because of that, in the past years, there has been se...
The application of Brain-Computer Interfaces is expected to become a matter of daily life. For this purpose, several efforts are being developed to ensure that users can employ this technology without difficulties. A large amount of studies consider motor imagery, which implies the usage of sensorimotor rhythms produced when imaging motor actions....
In order to facilitate communication and collaboration between researchers, Brain–computer interfaces (BCI) require a generally applicable functional model as well as a common vocabulary. The IEEE P2731 working group is in the process of developing such a functional model and a lexicon of BCI terminology. Such a functional model has multiple aspect...
A Brain-Computer Interface (BCI) can be considered as a technology that allows for alternative means of communication between humans and their environment using thoughts and intentions. The structure of this interface is composed of various stages, beginning with the acquisition of the brain signals, followed by several processing stages, and leadi...
We are entering the era of Open Science, which is the practice of science towards encouraging collaboration, contribution over research data, research processes, tools, scripts/codes, and any other relevant information. This mere definition involves the development of frameworks that support transparency and accessibility for the knowledge generati...
The development of Brain-Computer Interfaces (BCI) gathers experts and specialists in various fields, such as engineering, computer science, medicine, or cognitive neuroscience. Each of these disciplines has specific terminology, which makes mutual understanding and research collaboration difficult. The IEEE P2731 working group aims to improve comm...
Brain Computer Interface (BCI) technology is a critical area both for researchers and clinical practitioners. The IEEE P2731 working group is developing a comprehensive BCI lexicography and a functional model of BCI. The glossary and the functional model are inextricably intertwined. The functional model guides the development of the glossary. Term...
En los últimos años la impresión tridimensional llegó a abarcar gran cantidad de técnicas y materiales de extrusión, un sistema de extrusión basado en una jeringa presenta una alternativa versátil para distintos materiales de extrusión, comenzando por pastas hasta hidrogeles, que den origen a estructuras bio-orgánicas.
Gait based recognition systems allow automatic subjects’ recognition by using the way of walking. However, the performance of these systems is often degraded by some covariate factors such as walking direction, appearance changes, occlusions, among others. From these, it has been shown that change in appearance is the most influent covariant by dra...
Corruption is a legal and moral contravention that generates great concern among nations due to its erosive effects on economic growth, democracy, governance, social equity and the integrity of culture. Therefore, it is necessary to know more about the multiple variables that produce and maintain this phenomenon. This article reports the results of...
nvolutional Neural Networks (CNNs) have become a popular and useful deep learning algorithm. However, the requirements of computation have also increased. Asimplementation of CNNs in Embedded Systems or Cyber-Physical Systems (CPS) is required, the need of efficient technologies of computation like FPGAs arise substantially. In this paper, we prese...
Biometric systems allow us to identify individuals from distinctive biological traits. Gait recognition is a biometric technique used to recognize humans based on the style of their walk. However, model-free based gait recognition performance is often degraded by the presence of some covariate factors such as view, clothing and carrying variations....
Peace engineering implies taking positive and proactive actions to promote peace and jnstice. Blockchain, on the other hand, is a distributed sequence of blocks which acts like a public ledger. Motivations to develop blockchain based systems are usually related to transparency and trust. Inherently, blockchain ideals relate to peace engineering bec...
Student-Centered Learning is one of the most popular and promising instruction approaches as it is supposed to enhance the active role of students on Engineering Education. Although there are multiple advantages of employing it, there are also multiple implementation issues that have been identified by previous works. Unfortunately, the focus of th...
Brushless DC Motors (BLDCM) have many benefits for their high efficiency, small
size, and low maintenance requirements. On the other hand, high efficiency electronics are usually related to the usage of ARM based microcontrollers. In this work, the behavior over multiple PWM frequencies and after applying PWM compensation is studied using an ARM ba...
La gran variedad de LMS existentes permite virtualizar cada vez más el proceso de evaluación-enseñanza. Una de las principales ventajas es la variedad de opciones para evaluar, siendo destacable el cuestionario o quiz. Esta herramienta permite verificar el aprendizaje de los estudiantes de forma puntual, breve y concisa. Sin embargo, requiere de un...
La innovación en la educación ha tornado recientemente su perspectiva al empleo de videojuegos y aplicaciones dada la popularización y democratización de dispositivos inteligentes. Tanto tabletas electrónicas como teléfonos inteligentes y, en general, Tecnologías de Información y Comunicación (TIC) son empleados experimentalmente bajo el auspicio d...
The Blind Source Separation (BSS) problem is present in a variety of engineering applications, including the electroencephalographic (EEG) signal separation for artifact removal procedure in Brain Computer Interfaces (BCI). Independent Component Analysis (ICA) is a widely used technique for this purpose, although, it is also well known to have high...