Varela Aldas, José
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Varela Aldas, José
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Ambato
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josevarela@uti.edu.ec
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Scopus Author ID
57192546163

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Effects of a dual intervention (motor and virtual reality-based cognitive) on cognition in patients with mild cognitive impairment: a single-blind, randomized controlled trial

2024 , Buele, Jorge , Avilés-Castillo, Fátima , Carolina Del-Valle-Soto , Varela Aldas, José , Guillermo Palacios-Navarro

Abstract Background The increase in cases of mild cognitive impairment (MCI) underlines the urgency of finding effective methods to slow its progression. Given the limited effectiveness of current pharmacological options to prevent or treat the early stages of this deterioration, non-pharmacological alternatives are especially relevant. Objective To assess the effectiveness of a cognitive-motor intervention based on immersive virtual reality (VR) that simulates an activity of daily living (ADL) on cognitive functions and its impact on depression and the ability to perform such activities in patients with MCI. Methods Thirty-four older adults (men, women) with MCI were randomized to the experimental group (n = 17; 75.41 ± 5.76) or control (n = 17; 77.35 ± 6.75) group. Both groups received motor training, through aerobic, balance and resistance activities in group. Subsequently, the experimental group received cognitive training based on VR, while the control group received traditional cognitive training. Cognitive functions, depression, and the ability to perform activities of daily living (ADLs) were assessed using the Spanish versions of the Montreal Cognitive Assessment (MoCA-S), the Short Geriatric Depression Scale (SGDS-S), and the of Instrumental Activities of Daily Living (IADL-S) before and after 6-week intervention (a total of twelve 40-minutes sessions). Results Between groups comparison did not reveal significant differences in either cognitive function or geriatric depression. The intragroup effect of cognitive function and geriatric depression was significant in both groups (p < 0.001), with large effect sizes. There was no statistically significant improvement in any of the groups when evaluating their performance in ADLs (control, p = 0.28; experimental, p = 0.46) as expected. The completion rate in the experimental group was higher (82.35%) compared to the control group (70.59%). Likewise, participants in the experimental group reached a higher level of difficulty in the application and needed less time to complete the task at each level. Conclusions The application of a dual intervention, through motor training prior to a cognitive task based on Immersive VR was shown to be a beneficial non-pharmacological strategy to improve cognitive functions and reduce depression in patients with MCI. Similarly, the control group benefited from such dual intervention with statistically significant improvements. Trial registration ClinicalTrials.gov NCT06313931; https://clinicaltrials.gov/study/NCT06313931.

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Modeling and Control of Omnidirectional Robots with Displaced Center of Mass

2022 , Gallo L.V. , Paste B.D. , Varela Aldas, José , Andaluz, Víctor H.

This work focuses on the design and implementation of a control algorithm for tracking trajectories of an omnidirectional robotic platform. The design is based on a dynamic model that considers the center of mass displaced; this model is obtained by formulating Euler–Lagrange considering the kinetic energy that acts on the robotic system. This type of model is used for when robots carry loads and these are not located in the center of the robot directly affecting the dynamics of the robotic platform; validation of the obtained model is carried out experimentally with an identification algorithm using the robotic platform built. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Virtual System for Industrial Processes: Distillation Towers

2021 , Jacome E.M. , Toaquiza J.F. , Mullo G.M. , Andaluz V.H. , Varela Aldas, José

In this paper a realistic and intuitive virtual environment of a distillation tower system is developed. The three-dimensional model of the system is based on a real system, which is replicated in Blender software to be later implemented in Unity, in order to simulate its behavior. By showing the evolution of the system, control and monitoring maneuvers are implemented, so that the virtual animation is similar to a real process. The application developed is intended to provide support in the learning process of an operator in the work area. © 2021, Springer Nature Switzerland AG.

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Fog computing for assisting and tracking elder patients with neurodegenerative diseases

2019 , García-Magariño I. , Varela Aldas, José , Palacios-Navarro G. , Lloret J.

U.S. hospitals transmit and manage great amounts of information with the avenue of Internet of things. This work departs from a real need detected by healthcare centers and hospitals in U.S., Spain and Ecuador. This work focuses on the application of fog computing for obtaining an app rich in visual content that will not overload U.S. hospital infrastructures even if it was used massively. The simulation results showed that the proposed fog-based approach could support a regular use (one day out of three on average) by 1% of patients of one of the most common neurodegenerative diseases in 14 states in U.S (i.e. 36,400 patients in total) with only a traffic of 528 KB per day on average when using one hospital per state. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

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Immersive virtual reality app to promote healthy eating in children

2020 , Fuentes E.M. , Varela Aldas, José , Palacios-Navarro G. , García-Magariño I.

An immersive virtual reality application was developed as a serious game to support children on their decisions about food, the system was composed by the Gear VR (Viewer and controller), and a phone which contains the mobile application developed in Unity, providing the immersive environment, the platform was based on a path where the player has to go through it choosing between different sort of meals and also between different physical activities, the effect of balanced diet plus adequate physical activity seems reflected on the avatar previously chosen by the user, the app was tested on 12 children between 8 and 10 years old during one week, children participated on the study after receiving an informed consent, analyzing the tendencies of food choice on children before and after, a notorious positive effect could be seen on the users according to the avatar analyzed at the end of the round, besides a System usability ore was also applied to evaluate the degree of usability of the app, reaching a ore of 88.33% which rates the app as very usable, this results were even better than what was planned at the beginning of the experience. © Springer Nature Switzerland AG 2020.

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3D Object Reconstruction Using Concatenated Matrices with MS Kinect: A Contribution to Interiors Architecture

2020 , Buele, Jorge , Varela Aldas, José , Castellanos E.X. , Jadán Guerrero, Janio , Barberán J.

Interior architecture is part of the individual, social and business life of the human being; it allows structuring the spaces to inhabit, study or work. This document presents the design and implementation of a system that allows the three-dimensional reconstruction of objects with a reduced economic investment. The image acquisition process and treatment of the information with mathematical support that it entails are described. The system involves an MS Kinect as a tool to create a radar that operates with the structured light principle to capture objects at a distance of less than 2 meters. The development of the scripts is done in the MATLAB software and in the same way the graphical interface that is presented to the user. As part of the initial tests of this prototype, the digitization of geometric shape structures has been performed with an accuracy of over 98%. This validates its efficient operation, which serves as the basis for the development of modeling in interior architecture for future work. © 2020, Springer Nature Switzerland AG.

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An analysis of IoT technology education based on UIFLOW

2023 , Varela Aldas, José , Junta-Andagana C. , Bran C.

The importance of education in new technologies today drives us to continue exploring available options to introduce students to STEAM competencies. This article presents an analysis of satisfaction in the practical education of IoT technology using a block-based programming language. In this case, the UIFlow development environment, compatible with M5Stack kits, is utilized. A graphical interface for the M5Stack Core2 AWS module's screen is designed to enable data transmission to the Thingspeak platform via the MQTT protocol with a 1-second delay. This analysis was conducted during a practical session with a group of 11 industrial engineering students. The collected data includes session runtimes and a satisfaction assessment using the Post-Study System Usability Questionnaire, specifically adapted for this case. The results indicate an overall satisfaction level of 84.7% within the group. The lowest-scoring aspect pertains to the information provided by UIFlow for problem-solving. © 2023 IEEE.

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Twitter Mining for Multiclass Classification Events of Traffic and Pollution

2020 , Chamorro V. , Rivera R. , Varela Aldas, José , Castillo Salazar, David Ricardo , Borja Galeas, Carlos , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Fierro-Saltos W. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

During the last decade social media have generated tons of data, that is the primal information resource for multiple applications. Analyzing this information let us to discover almost immediately unusual situations, such as traffic jumps, traffic accidents, state of the roads, etc. This research proposes an approach for classifying pollution and traffic tweets automatically. Taking advantage of the information in tweets, it evaluates several machine learning supervised algorithms for text classification, where it determines that the support vector machine (SVM) algorithm achieves the highest accuracy value of 85,8% classifying events of traffic and not traffic. Furthermore, to determine the events that correspond to traffic or pollution we perform a multiclass classification. Where we obtain an accuracy of 78.9%. © Springer Nature Switzerland AG 2020.

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Body Temperature Control Using a Robotic Arm

2021 , Varela Aldas, José , Moreira A. , Criollo P. , Ruales, María Belén

At the end of 2019, a highly contagious virus appears, changing the form of interaction between humans, this has implied the use of technology as a support tool to counteract the effects of the new disease (COVID-19). Although many technologies have been successfully adapted, applied robotics promises to reduce or even eliminate the need for person-to-person contact. This article presents the control of the body temperature of the clients of a commercial premises through the implementation of a system that includes a robotic arm, two sensors and a mobile device. The robotic arm is constructed using 3D printing and a low-cost electronic circuitry, body temperature is obtained using an infrared sensor, and a mobile device displays, alerts, and stores the information. The developed code allows remote control of the robot positions or a pre-programmed sequence is automatically activated that includes temperature measurement and hand disinfection. The results show the robot in operation and the data acquired by the system, observing adequate temperatures in most of the users and a single alert during the tests carried out. The conclusions establish the importance of the system in the real application and highlight the multiple benefits of this proposal. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Electric Monitoring System for Residential Customers Using Wireless Technology

2022 , Buele, Jorge , Morales-Sánchez J.C. , Varela Aldas, José , Palacios-Navarro G. , Ayala-Chauvin, Manuel Ignacio

Power grids continue to develop and it is increasingly difficult to guarantee the quality of service offered to the user. In several developing countries, consumption is calculated on the basis of visual inspection, which is prone to errors. Consequently, this document outlines the construction of electrical consumption telemetering equipment. This is designed to reduce human error through manual measures and have a web backup that can be accessed from anywhere. To develop the prototype voltage and current sensors are used, and the signal is conditioned for the control stage. The processing unit is the Arduino Mega embedded board, which incorporates a GPRS Shield (General Packet Radio Services) that handles communication with a LAMP server (Linux, Apache, MySQL, PHP) connected to the Internet. It also incorporates a block of connection and disconnection of the electrical service that would leave the whole house without service. Two functionalities are used to present the data, one is local on the LCD display of the equipment installed in the home (user) and the second is remote access to a website (server). The results show that in comparison with a standard voltage device it presents an error of 0.28% and 4.12% in current. In this way, the use of this prototype for real-time monitoring of electricity consumption is validated, since it works similarly to a conventional one. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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