@article{nokey,

title = {Artificial Intelligence Challenges - Autonomous cars: A brief review},

author = {Bryan Orlando Narváez Tapie and Michael Alejandro Irua Riofrio and Zhara Jholy Monteros Bernal and Ana Cristina Umaquinga and Galo Patricio Hurtado Crespo and Jaime Michilena},

editor = {INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES},

url = {https://revistasojs.utn.edu.ec/index.php/ideas/article/view/912},

doi = {https://doi.org/10.53358/ideas.v5i2.912},

issn = {2600-5573},

year  = {2023},

date = {2023-09-28},

journal = {INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES},

volume = {5},

number = {2},

pages = {45-55},

abstract = {Abstract:This documentary-descriptive research aims to explore the advancement of artificial intelligence (AI) in self-driving vehicles and its impact on the benefit of society. While it is undeniable that self-driving vehicles have practically become a technological reality in the field of computing, both at present and in the foreseeable future. However, several apparent problematic aspects need to be addressed in terms of legislation, as autonomous cars are set to become an integral part of everyday life.  Therefore, this research examines through a literature review the significant advances and efforts devoted to software design in this area of study focused on the operation of autonomous vehicles in urban environments and their ability to circumvent city obstacles as well as challenges to unforeseen eventualities.Key words: Self-driving cars, Challenges, Decision-making, Safety and reliability, Human-machine interaction



Resumen: Esta investigación documental-descriptiva pretende explorar el avance de la inteligencia artificial (IA) en los vehículos autoconducidos y su repercusión en beneficio de la sociedad. Si bien es innegable que los vehículos autoconducidos se han convertido prácticamente en una realidad tecnológica en el campo de la informática, tanto en la actualidad como en un futuro previsible. Sin embargo, es necesario abordar varios aspectos aparentemente problemáticos en términos de legislación, ya que los coches autónomos están llamados a convertirse en parte integrante de la vida cotidiana.  Por ello, esta investigación examina mediante una revisión bibliográfica los importantes avances y esfuerzos dedicados al diseño de software en este ámbito de estudio centrado en el funcionamiento de los vehículos autónomos en entornos urbanos y su capacidad para sortear los obstáculos de la ciudad, así como los retos ante eventualidades imprevistas.Palabras clave: Coches autoconducidos, Retos, Toma de decisiones, Seguridad y fiabilidad, Interacción persona-máquina.},

keywords = {Challenges, Decision-making, Human-machine interaction, Safety and reliability, Self-driving cars},

pubstate = {published},

tppubtype = {article}

}

@article{tksaltos2023,

title = {MARKET MANAGEMENT CHANGE PROCESS FROM PUBLIC TO PRIVATE: A CASE STUDY IN COTACACHI, ECUADOR},

author = {Tatyana K Saltos-Echeverría and Ana C. Umaquinga-Criollo and Irving Reascos },

editor = {TERUM. Theoretical and Empirical Researches in Urban Management},

url = {https://www.jstor.org/stable/27232315},

issn = {20653913},

year  = {2023},

date = {2023-08-08},

urldate = {2023-08-08},

journal = {Theoretical and Empirical Researches in Urban Management},

volume = {18},

number = {3},

pages = {66-87},

abstract = {In modern municipal administrations, it is essential to involve social actors in decisions related to public service. Considering that few models of citizen participatory processes exist, this article aims to describe the process used by market administrators and municipal authorities to change the management model from a public market to a private market. Following Yin’s suggestions, we used the qualitative case study method in four stages: study planning, data collection (interviews and documentation), data analysis, and presentation of results. The product we obtained is a framework that describes the participatory process used to change the management model of the market from public to private. The conclusions we reached for the market management change process to be successful were that political will on the part of the authorities, empowerment of civil society in decision-making, and the leadership of a woman belonging to the market are necessary},

keywords = {citizen participation, Management mode, participatory democracy, participatory process},

pubstate = {published},

tppubtype = {article}

}

@article{Montenegro2023,

title = {Domotics in inclusion and health: Descriptive Study},

author = {Francisco Montenegro and Steven Vélez and David Gonzáles and Daniel Jaramillo and Ana Cristina Umaquinga },

editor = {INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES},

url = {http://revistasojs.utn.edu.ec/index.php/ideas/article/view/899},

doi = {https://doi.org/10.53358/ideas.v5i1.899},

isbn = {2600-5573},

year  = {2023},

date = {2023-07-10},

urldate = {2023-07-10},

journal = {INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES},

volume = {5},

number = {1},

pages = {27-36},

abstract = {The present research is a bibliographic, exploratory, descriptive, and documentary study of the main contributions of the home automation area for people with disa-bilities, including mental, physical, or temporary therapy. The study selects 30 jour-nal articles or review articles from the Scopus database of the main quartiles Q1, Q2, Q3, that meet the purpose of the study and respond to the research question, from a total of 228 articles (208 articles, 20 reviews) of the last 10 years and that have Eng-lish language. Among the main results, 3 specific areas of interest of the scientific community are identified: Telemedicine, home automation, Artificial Intelligence, in studies of remote monitoring for medical assistance of the elderly, disabled people, medical centers, additionally for intelligent energy management, portable sensors, IT Smart House, stress management, emergency calls, alternative communication with brain-computer interfaces, education and innovation of algorithms. The purpose of this research is to provide a first approach to the scientific, academic and business community  that  initiates  learning  in  this  area,  in  order  to  provide  a  review  of  the  most  relevant  contributions in this line of knowledge



Resumen. La presente investigación es un estudio de tipo documental, exploratorio y descriptivo acerca de las principales aportaciones en el área de la domótica para personas con discapacidad. De un total de 228 artículos (208 artículos, 20 revisiones) publicados en inglés en los últimos 10 años, este estudio selecciona 30 artículos científicos y de revisión de la base de datos Scopus, ubicados en cuartiles Q1, Q2 y Q3, dentro de la temática de estudio. Entre los principales resultados, se identifican 3 áreas de interés en la comunidad científica: (i) Telemedicina, (ii) domótica, (iii) Inteligencia Artificial. Adicionalmente existe estudios de interés en monitorización remota para asistencia médica de personas mayores, discapacitados, centros médicos, así como, investigaciones de gestión inteligente de la energía, sensores portátiles, IT Smart House, gestión del estrés, llamadas de emergencia, comunicación alternativa con interfaces cerebro-ordenador, educación e innovación de algoritmos.  El propósito de esta investigación es proporcionar una primera aproximación a la comunidad científica, académica y empresarial que se inicia en el aprendizaje en esta área, con el fin de proporcionar una revisión de las contribuciones más relevantes en esta línea de conocimiento.},

keywords = {Accessibility, Ambient Assisted Living (AAL), Assistive technologies, Home Automation, Quality of Life, Telecommunications},

pubstate = {published},

tppubtype = {article}

}

@article{Cepeda2022,

title = {Heart Rate Detection using a Piezoelectric Ceramic Sensor: Preliminary results},

author = {Cepeda, Eduardo and Peluffo-Ordóñez, Diego H. and Rosero-Montalvo, Paúl and Becerra, Miguel A and Umaquinga-Criollo, Ana C. and Ramírez, Lenina},

editor = {Bionatura},

url = {https://revistabionatura.com/2022.07.03.30.html},

doi = {http://dx.doi.org/10.21931/RB/2022.07.03.30},

issn = {13909347},

year  = {2022},

date = {2022-08-15},

journal = {Bionatura},

volume = {7},

issue = {3},

abstract = {Real-time vital signs monitoring, particularly heart rate, is essential in today's medical practice and research. Heart rate detection allows the doctor to monitor the patient's health status to provide immediate action against possible cardiovascular diseases. We present a possible alternative to traditional heart rate signal monitoring systems, a cardiac pulse system using low-cost piezoelectric signal identification. This system could benefit health care and develop continuous pulse waveform monitoring systems. This paper introduces a heartbeat per minute (BPM) cardiac pulse detection system based on a low-cost piezoelectric ceramic sensor (PCS). The PCS is placed under the wrist and adjusted with a silicone wristband to measure the pressure exerted by the radial artery on the sensor and thus obtain the patient's BPM. We propose a signal conditioning stage to reduce the sensor's noise when acquiring the data and make it suitable for real-time BPM visualization. As a comparison, we performed a statistical test to compare the low-cost PCS with types of traditional sensors, along with the help of 21 volunteers. Experimental results show that the data collected by the PCS, when used for heart rate detection, is highly accurate and close to traditional sensor measurements. Therefore, we conclude that the system efficiently monitors the cardiac pulse signal in BPM.

},

keywords = {BPM, Heart rate, Piezoelectric, Pulse Detection},

pubstate = {published},

tppubtype = {article}

}

@article{Umaquinga2022,

title = {Textile and machine learning: A Bibliometric analysis},

author = {Ana Umaquinga and Marco Naranjo Toro and Omar Godoy Collaguazo},

editor = {Editorial Universitaria UTN},

url = {Las TIC en el desarrollo de sistemas empresariales. Innovación, invención y emprendimiento digital},

doi = {https://doi.org/10.53358/ideas.v4i1.697 },

issn = {2600-5573},

year  = {2022},

date = {2022-07-26},

journal = {INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES},

volume = {4},

number = {1},

keywords = {bibliometric analysis, bibliometrix, Textile machine learning, VosViewer},

pubstate = {published},

tppubtype = {article}

}

@article{fernandez2021,

title = {Overview on kernels for least-squares support-vector-machine-based clustering: Explaining kernel spectral clustering},

author = {Yasmani Fernández and Iris Marrufo and Marcelo Páez and A. C. Umaquinga-Criollo and P. D. Rosero and D. H. Peluffo-Ordónez},

editor = {Universidad de La Habana},

url = {https://rev-inv-ope.pantheonsorbonne.fr/sites/default/files/inline-files/42121-10.pdf},

isbn = {0257-4306},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Investigacion Operacional},

journal = {REVISTA INVESTIGACION OPERACIONAL},

volume = {42},

number = {1},

pages = {113-123},

publisher = {Investigacion Operacional},

abstract = {ABSTRACT

This letter presents an overview on some remarkable basics on kernels as well as the formulation of a clustering approach based on least-squares support vector machines. Specifically, the method known as kernel spectral clustering (KSC) is of interest. We explore the links between KSC and a weighted version of kernel principal component analysis (WKPCA). Also, we study the solution of the KSC problem by means of a primal-dual scheme. All mathematical developments are carried out following an entirely matrix formulation. As a result, in addition to the elegant KSC formulation, important insights and hints about the use and design of kernel-based approaches for clustering are provided.



En esta investigación se presenta una descripción general de algunos conceptos básicos e importantes sobre kernels, así como la formulación de un enfoque de agrupación basado en máquinas de vectores de soporte de mínimos cuadrados. Específicamente, el método conocido como kernel espectral clustering (KSC) es de interés. Exploramos los enlaces entre KSC y una versión ponderada del análisis de componentes principales del núcleo (WKPCA). Además, estudiamos la solución del problema KSC

por medio de un esquema primal-dual. Todos los desarrollos matemáticos se llevan a cabo siguiendo una formulación completamente matricial. Como resultado, además de una formulación de KSC, se proporcionan ideas y sugerencias importantes sobre el uso y el diseño de enfoques basados en el kernels para clustering.},

keywords = {Clustering, kernel principal component analysis WKPC., Kernel spectral clustering KSC, Support Vector Machine (SVM)},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Design of a low computational cost prototype for cardiac arrhythmia detection},

author = {Andrés M. Vargas-Muñoz and Diana C. Chamorro-Sangoquiza and Ana C. Umaquinga-Criollo and Paul D. Rosero-Montalvo and Miguel A. Becerra and Diego H. Peluffo-Ordóñez and E. Javier Revelo-Fuelagán},

editor = {Risti},

url = {https://www.proquest.com/docview/2483998641?pq-origsite=gscholar&fromopenview=true},

isbn = {16469895},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Revista Ibérica de Sistemas e Tecnologias de Informação},

volume = {40},

pages = { 470-479},

abstract = {Resumen: Esta investigación presenta el diseño de un prototipo para la detección de arritmias cardíacas que incorpora un sistema embebido de bajo costo computacional en un entorno de recursos computacionales limitados capaz de analizar características de los complejos QRS. Para ello, se desarrolla

una estrategia de clasificación de latidos cardiacos, normales y patológicos, en registros  electrocardiográficos de larga duración (Holter), los cuales son ondas representativas del latido y su análisis permite identificar arritmias de tipo ventricular. Para el desarrollo de este prototipo inicial, se comprueba que el uso del algoritmo de k vecinos más cercanos (k-NN) junto con una etapa de selección de variables del conjunto de entrenamiento es una buena alternativa y representa una contribución importante de este trabajo a nivel experimental. Los experimentos se realizaron sobre la base de datos de arritmias cardiacas del Massachusetts Institute of Technology (MIT). Los resultados son satisfactorios y promisorios. },

keywords = {Arduino Mega, Cardiac arrhythmias, Holter ECG signal, MIT arrhythmia database},

pubstate = {published},

tppubtype = {article}

}

@article{umaquingame,

title = {Multi-expert Methods Evaluation on Financial and Economic Data: Introducing Bag of Experts},

author = {A. C. Umaquinga-Criollo and J. D. Tamayo-Quintero and M. N. Moreno-García and J. A. Riascos and D. H. Peluffo-Ordóñez},

editor = {Springer, Cham},

url = {https://link.springer.com/chapter/10.1007/978-3-030-61705-9_36},

doi = {https://doi.org/10.1007/978-3-030-61705-9_36},

isbn = {978-3-030-61704-2},

year  = {2020},

date = {2020-11-04},

urldate = {2020-08-20},

journal = {Hybrid Artificial Intelligent Systems},

number = {15th},

pages = { 437-449},

abstract = {The use of machine learning into economics scenarios results appealing since it allows for automatically testing economic models and predict consumer/client behavior to support decision-making processes. The finance market typically uses a set of expert labelers or Bureau credit scores given by governmental or private agencies such as Experian, Equifax, and Creditinfo, among others. This work focuses on introducing a so-named Bag of Expert (BoE): a novel approach for creating multi-expert Learning (MEL) frameworks aimed to emulate real experts labeling (human-given labels) using neural networks. The MEL systems “learn” to perform decision-making tasks by considering a uniform number of labels per sample or individuals along with respective descriptive variables. The BoE is created similarly to Generative Adversarial Network (GANs), but rather than using noise or perturbation by a generator, we trained a feed-forward neural network to randomize sampling data, and either add or decrease hidden neurons. Additionally, this paper aims to investigate the performance on economics-related datasets of several state-of-the-art MEL methods, such as GPC, GPC-PLAT, KAAR, MA-LFC, MA-DGRL, and MA-MAE. To do so, we develop an experimental framework composed of four tests: the first one using novice experts; the second with proficient experts; the third is a mix of novices, intermediate and proficient experts, and the last one uses crowd-sourcing. Our BoE method presents promising results and can be suitable as an alternative to properly assess the reliability of both MEL methods and conventional labeler generators (i.e., virtual expert labelers).},

keywords = {Bag of experts, clasificadores, Crowd-sourcing, Feed-forward neural network, Finance, Investment banking, MATLAB, multi-clasificadores, Multi-expert, patrones de desempeño académico, selección de características},

pubstate = {published},

tppubtype = {article}

}

@article{becerra2020,

title = {Stochastic-and Neuro-Fuzzy-Analysis-based characterization and classification of 4-Channel Phonocardiograms for Cardiac Murmur Detection},

author = {Miguel A. Becerra and Edilson Delgado Trejos and Cristian Mejía-Arboleda and Diego H. Peluffo-Ordóñez and Ana C. Umaquinga-Criollo},

editor = {AISTI 2020},

url = {http://www.risti.xyz/issues/ristie33.pdf},

isbn = {1646-9895},

year  = {2020},

date = {2020-08-20},

journal = {Revista Ibérica de Sistemas e Tecnologias de Informação. },

volume = {2020},

number = {E33},

pages = {65-78},

abstract = {Abstract: Cardiac murmurs (CMs) are the most common heart’s diseases that are typically diagnosed from phonocardiogram (PCG) and echocardiogram tests -often supported by computerized systems. Research works have traditionally addressed  the automatic CM diagnosis with no distinctively use of the four auscultation areas (one of each cardiac valve), resulting -most probably- in a constrained, nonimpartial diagnostic procedure. This study presents a comparison among four different CM detection systems from a 4-channel PCG. We first evaluate the acoustic characteristics derived from Mel-Frequency Cepstral Coefficients, Empirical Mode Decomposition (EMD), and statistical measures. Secondly, a relevance analysis is carried out using Fuzzy Rough Feature Selection. Thirdly, Hidden Markov Models (HMM), Adaptative Neuro-Fuzzy Inference System (ANFIS), Naïve Bayes, and Gaussian Mixture Model were applied for classification and validated using a 50-fold cross-validation procedure with a 70/30 split demonstrating the functionality and capability of EMD, Hidden Markov Model and ANFIS for CM classification.},

keywords = {ANFIS, cardiac murmur, empirical mode decomposition, hidden markov models, phonocardiogram.},

pubstate = {published},

tppubtype = {article}

}

@article{bastidas2020,

title = {Analytic study on the performance of multi- classification approaches in case-based reasoning systems: Medical data exploration},

author = {David Bastidas and Camilo Piñeros and Diego H Peluffo-Ordóñez and Luz Marina Sierra and Miguel A. Becerra and Ana C Umaquinga-Criollo},

editor = {AISTI 2020},

url = {http://www.risti.xyz/issues/ristie33.pdf},

issn = {1646-9895},

year  = {2020},

date = {2020-08-20},

journal = {Revista Ibérica de Sistemas e Tecnologias de Informação. },

volume = {2020},

number = {E33},

pages = {40-51},

abstract = {Abstract: This paper compares the main combinations of classifiers (Sequential, Parallel and Stacking) over two remarkable medical data collections: Cleveland and Dermatology. The principal rationale underlying the use of multiple classifiers is that together the methods may be powered rather than their individual behavior. Such a premise is validated through the identification of the best the combination reaching the lowest error rate within a case-based reasoning system (CBR). The different combinations are essentially formed by five different classifiers greatly different regarding their nature and inception: SVM (Support Vector Machines), Parzen, Random Forest, K-NN (k-nearest neighbors) and Naive Bayes. From experimental results, it can be inferred that the combination of techniques is greatly useful. Also, in this work, some key aspects and hints are discussed about the relationship between the nature of the input data and the classification (either individual or mixture of classifiers) stage building within a CBR framework.},

keywords = {case based reasoning, classifiers fusion, dermatology disease, heart disease},

pubstate = {published},

tppubtype = {article}

}

@article{chamorro2020_,

title = {Comparative study of data mining techniques to reveal patterns of academic performance in secondary education},

author = {Diana C. Chamorro-Sangoquiza and Andrés M. Vargas-Muñoz and Ana C. Umaquinga-Criollo and Miguel A. Becerra and Diego H. Peluffo-Ordóñez},

editor = {RISTI},

issn = {1646-9895},

year  = {2020},

date = {2020-08-01},

journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao},

volume = {E32},

pages = {455–468},

abstract = {Las técnicas de minería de datos permiten develar conocimiento a partir de grandes volúmenes de información, los cuales han sido poco exploradas en análisis de información de instituciones de educación, pero con una creciente demanda por este sector para apoyar la toma de decisiones. En esta investigación se propone una metodología de comparación de técnicas de minería de datos, aplicado al análisis de patrones académicos en estudiantes de educación media. Múltiples métodos de selección de atributos son aplicados para reducir la dimensionalidad y se comparan tres clasificadores y dos multi-clasificadores. Los experimentos se realizan en una base de datos de 285 instancias y 36 atributos obtenidos de una encuesta educativa aplicada a los alumnos del Tercer Año de Bachillerato de la Unidad Educativa Ibarra 2017-2018. Los mejores resultados de clasificación fueron alcanzados por los multiclasifiadores Boosted Tree y Bagged Tree con 93.24% de exactitud usando los datos seleccionados con el algoritmo BestFirst.},

keywords = {clasificadores, MATLAB, multi-clasificadores, patrones de desempeño académico, selección de características},

pubstate = {published},

tppubtype = {article}

}

@article{ramirez2020,

title = {Metodología de enseñanza y aprendizaje en tecnologías de Cloud Computing: Un estudio de caso en la Carrera de Ingeniería Electrónica y Redes de Comunicación de la Universidad Técnica del Norte},

author = {Ana C. Ramírez–Recalde and Ana Cristina Umaquinga and Edgar Maya and Carlos Vásquez-Ayala},

editor = {Risti},

url = {http://www.risti.xyz/issues/ristie25.pdf

https://search.proquest.com/openview/6134a93593c6b2f1ecbd8da095e3d5ef/1?cbl=1006393&pq-origsite=gscholar},

issn = {1646-9895},

year  = {2020},

date = {2020-01-20},

journal = {risti revista ibérica de sistemas e tecnologias de informação},

volume = {N.º E25},

pages = {72-86},

abstract = {Este trabajo expone el diseño e implementación de un Entorno Virtual de Aprendizaje (EVA) en la Carrera de Ingeniería en  Electrónica y Redes de Comunicación (CIERCOM) de la Universidad Técnica del Norte (UTN), IbarraEcuador, referente al área de estudio Cloud Computing (CC), se considera: Un sistema de Gestión de Aprendizaje Moodle diseñado de acuerdo a directrices establecidas por la metodología de PACIE (Presencia, Alcance, Capacitación, Interacción, E-learning); contenido se basa en información de seis trabajos de grado que formaron parte del proyecto puesto en marcha en la Facultad de Ingeniería en Ciencias Aplicadas de la UTN, misma que ha sido complementada y transformada en material didáctico del EVA con el fin de difundir los

estudios de caso y contribuir con conocimientos para los estudiantes de la carrera acerca del tema.



La investigación es de tipo descriptivo y documental permitiendo abarcar los siguientes temas: (i) Fundamentos básicos de Cloud Computing; (ii) Definiciones de un Centro de Datos TIER I bajo el estándar TIA 942; (iii) Plataformas de Infraestructura como Servicio Openstack; (iv) Plataformas de Infraestructura como Servicio Opennebula y (v) Plataformas de Infraestructura como Servicio  Eucalyptus.},

keywords = {Aprendizaje Virtual, Computación en la Nube, Entorno Virtual de Aprendizaje, PACIE; Moodle},

pubstate = {published},

tppubtype = {article}

}

@article{Roldan2019,

title = {A conceptual architecture for content analysis about abortion using the Twitter platform},

author = {P R Roldán-Robles and A C Umaquinga-Criollo and J A García-Santillán and I D Herrera-Granda and I D García-Santillán},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075303429&partnerID=40&md5=ba7996fb63672b80f3111934cc4dc083 

http://www.risti.xyz/issues/ristie22.pdf 

https://www.researchgate.net/publication/337621778_A_conceptual_architecture_for_content_analysis_about_abortion_using_the_twitter_platform},

issn = {16469895},

year  = {2019},

date = {2019-08-01},

journal = {Revista Ibérica de Sistemas e Tecnologias de Informação.},

volume = {2019},

number = {E22},

pages = {363-374},

abstract = {This paper presents a conceptual architecture for content analysis about the opinions expressed on Twitter about abortion. The architecture consisted of five stages: authentication, data collection, data cleaning & processing, modeling & analysis, and presentation of results. In the data collection, a simple size of tweets sent from Ecuador was taken in 2018. All tweets that were not related to the topic were eliminated. In the modeling, it was separated into two categories for and against abortion, where the Naive Bayes and decision tree classifiers were used. Finally, the results were presented in the form of statistical graphs, word clouds and heat maps. During the development, the Google maps platform was also used, where the scripts were made in Python using the Integrated Development Environment (IDE) Spyder (Python 3.6), which is part of the Anaconda platform. The results obtained showed, on average, a majority position against abortion in Ecuador},

keywords = {abortion, content analysis, data mining, social networks, Twitter},

pubstate = {published},

tppubtype = {article}

}

@article{Encalada2019,

title = {Medical dispenser of control and monitoring services for the elderly health care institute hogar del anciano “San Vicente de Paúl” from atuntaqui (Ecuador)},

author = {M T Encalada-Grijalva and S K Narváez-Pupiales and A C Umaquinga-Criollo and L E Suárez-Zambrano and D H Peluffo-Ordóñez},

url = {https://search.proquest.com/openview/ca355d43bc1ac0d2c3428cf5f1030ce1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069226730&partnerID=40&md5=47b09604229078717e7fb0d094134ab8 

http://www.risti.xyz/issues/ristie19.pdf 

https://www.researchgate.net/publication/337621992_Medical_dispenser_of_control_and_monitoring_services_for_the_elderly_health_care_institute_hogar_del_anciano_San_Vicente_de_Paul_from_atuntaqui_Ecuador_Dispensador_medico_de_control_y_monitoreo_para_e},

issn = {1646-9895},

year  = {2019},

date = {2019-04-01},

journal = {Revista Ibérica de Sistemas e Tecnologias de Informação.},

volume = {2019},

number = {E19},

pages = {595-607},

abstract = {Abstract: Aging is a stage of life of the human being that presents psychological, social, physiological changes, as well as the deterioration of their physical capacities. Elderly Home “San Vicente de Paúl” of the city of Atuntaqui (Ecuador), older adults take medicines to treat diseases such as high blood pressure, osteoarthritis, osteoporosis, cognitive deterioration, depression, hypothyroidism, gastritis, anemia, among others. The medical staff, because they do not keep a record of the dosage of medications in the pre-established hours, has caused delays, omissions in the same and a decline in their health status. The present research designs and develops an embedded system to control and monitor the supply of medicines through two types of notifications to the medical department: In the first instance, by sending text messages via GSM; in the absence of a response, the second notification is issued by means of a voice call to the nurse on duty in order to safeguard the adequate intake of medicine and comply fully with the treatments prescribed by the doctor and improve the quality of life of the adult higher. 

 

 

Resumen: El envejecimiento es una etapa de vida del ser humano que presenta cambios psicológicos, sociales, fisiológicos, así como el deterioro de sus capacidades físicas. En el Hogar del Anciano “San Vicente de Paúl” de la ciudad de Atuntaqui (Ecuador), los adultos mayores toman medicinas para tratar enfermedades como: la hipertensión arterial, artrosis, osteoporosis, deterioro cognitivo, depresión, hipotiroidismo, gastritis, anemia, entre otras. El personal médico al no llevar un registro de la posología de medicamentos en los horarios preestablecidos ha 

ocasionado retrasos, omisiones en los mismos y recaídas en su estado de salud. 

La presente investigación diseña y desarrolla un sistema embebido para controlar y monitorear el suministro de medicinas mediante dos tipos de notificaciones al departamento médico: en primera instancia por el envío de mensajes de texto vía GSM; al no existir respuesta se emite la segunda notificación por medio de una llamada de voz a la enfermera de turno con la finalidad de precautelar la ingesta adecuada de medicina y cumplir a cabalidad con los tratamientos prescritos por el médico y mejorar la calidad de vida del adulto mayor.},

keywords = {Adultos mayores, Arduino, Base de Datos, Dispensador Electrónico, MySQL},

pubstate = {published},

tppubtype = {article}

}