Person:
Astudillo Salinas, Darwin Fabián

Birth Date

1983-09-22

ORCID

0000-0001-7644-0270

Scopus Author ID

55575222200

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Astudillo Salinas

First Name

Darwin Fabián

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Now showing 1 - 10 of 37

RR stress test time series classification using neural networks
(Institute of Electrical and Electronics Engineers Inc., 2018) Jaramillo Ayavaca, Wilson Xavier; Astudillo Salinas, Darwin Fabián; Solano Quinde, Lizandro Damián; Palacio Baus, Kenneth Samuel; Wong de balzan , Sara Null; Solano Quinde, Lizandro Damián
The RR time series, obtained from the R waves of the ECG, are a representation of the heart rate. This work presents the use of an artificial neural network (ANN) to classify RR time series from an ECG stress test. Four classes of RR time series were defined very good, good, low quality and useless. We use a preprocessing stage to split input data vectors into N W data windows for which we compute the standard deviation of the RR interval (SD RR ) to generate the input features vector of a multilayer perceptron network architecture. We introduce a saturation value S in order to limit SD RR values. 520 RR time series from 65 records of ECG stress test were analyzed. Experiments were performed to explore the influence of parameters S and N W . 40 subjects records are used in training and the remaining for testing. The classification results show a matching correlation ratio above 71%, which is higher than the …
CinC Challenge 2013: Comparing three algorithms to extract fetal ECG
(SPIE, 2015-11-17) Loja, J; Astudillo Salinas, Darwin Fabián; Medina Molina, Ruben; Palacio Baus, Kenneth Samuel; Velecela, E; Wong De Balzan, Sara
This paper reports a comparison between three fetal ECG (fECG) detectors developed during the CinC 2013 challenge for fECG detection. Algorithm A1 is based on Independent Component Analysis, A2 is based on fECG detection of RS Slope and A3 is based on Expectation-Weighted Estimation of Fiducial Points. The proposed methodology was validated using the annotated database available for the challenge. Each detector was characterized in terms of its performance by using measures of sensitivity, (Se), positive predictive value (P+) and delay time (td). Additionally, the database was contaminated with white noise for two SNR conditions. Decision fusion was tested considering the most common types of combination of detectors. Results show that the decision fusion of A1 and A2 improves fQRS detection, maintaining high Se and P+ even under low SNR conditions without a significant tdincrease.
Characterizing artifacts in RR stress test time series
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-08-16) Astudillo Salinas, Darwin Fabián; Medina Molina, Ruben; Palacio Baus, Kenneth Samuel; Solano Quinde, Lizandro Damián; Wong De Balzan, Sara
Electrocardiographic stress test records have a lot of artifacts. In this paper we explore a simple method to characterize the amount of artifacts present in unprocessed RR stress test time series. Four time series classes were defined: Very good lead, Good lead, Low quality lead and Useless lead. 65 ECG, 8 lead, records of stress test series were analyzed. Firstly, RR-time series were annotated by two experts. The automatic methodology is based on dividing the RR-time series in non-overlapping windows. Each window is marked as noisy whenever it exceeds an established standard deviation threshold (SDT). Series are classified according to the percentage of windows that exceeds a given value, based upon the first manual annotation. Different SDT were explored. Results show that SDT close to 20% (as a percentage of the mean) provides the best results. The coincidence between annotators classification is 70.77% whereas, the coincidence between the second annotator and the automatic method providing the best matches is larger than 63%. Leads classified as Very good leads and Good leads could be combined to improve automatic heartbeat labeling.
Evaluation of two QRS detection algorithm on ECG stress test database
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-10-19) Fajardo, J; Astudillo Salinas, Darwin Fabián; Palacio Baus, Kenneth Samuel; Solano Quinde, Lizandro Damián; Wong De Balzan, Sara
In this paper, we evaluated two well-known QRS algorithms: Pan & Tompkins (PT) and based wavelet transform (WT) on an ECG stress test database. In the absence of an annotated ECG stress test database, the first stage of this work consisted of the database annotation, using RR-time series obtained from an eight leads stress database (DICARDIA). First, the system proposes to users a lead (reference channel) according to its statistical measures. Then the user realizes a visual inspection aimed at validating or denying the channel proposed by the system. As the series contains few artifacts, the annotation is performed using interval of annotations. Preliminary results realized over 31928 beats provide a sensibility of 99.81% and 98.28% respectively for PT and WT. The procedure developed in this work can be seen as a valuable starting point in semiautomatic annotation of large electrocardiographic databases, as well to evaluate and to improve stress ECG delineations.
Evaluating the mindwave headset for automatic upper body motion classification
(Institute of Electrical and Electronics Engineers Inc., 2018) Palacio Baus, Kenneth Samuel; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián; Astudillo Salinas, Darwin Fabián
This paper presents preliminary results on evaluating the NeuroSky Mindwave headset for upper body motion intention classification. An artificial neural network (ANN) is trained by using a data set built for two different feature extraction methods, one based on the wavelet transform (WT) and another based on the use of spectrograms. Since there are five different types of brain waves,(Î±, Î², Î³, Î”, Î¸) some data aggregation procedures are proposed to reduce the dimensionality of the data set. The classification results show that it is possible to attain a 73.1% of assertion rate. Â© 2017 IEEE.
Semiautomatic validation of RR time series in an ECG stress test database
(SPIE, 2015-11-17) Armijos, J; Astudillo Salinas, Darwin Fabián; Garciá, D; Medina Molina, Ruben; Palacio Baus, Kenneth Samuel; Wong De Balzan, Sara
This paper reports an automatic method for characterizing the quality of the RR-time series in the stress test database known as DICARDIA. The proposed methodology is simple and consists in subdividing the RR time series in a set of windows for estimating the quantity of artifacts based on a threshold value that depends on the standard deviation of RR-time series for each recorded lead. In a first stage, a manual annotation was performed considering four quality classes for the RR-time series (Reference lead, Good Lead, Low Quality Lead and Useless Lead). Automatic annotation was then performed varying the number of windows and threshold value for the standard deviation of the RR-time series. The metric used for evaluating the quality of the annotation was the Matching Ratio. The best results were obtained using a higher number of windows and considering only three classes (Good Lead, Low Quality Lead and Useless). The proposed methodology allows the utilization of the online available DICARDIA Stress Test database for different types of research.
A simple mapping methodology of gait biomechanics for walking control of a biped robot
(Institute of Electrical and Electronics Engineers Inc., 2018) Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián
This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. Â© 2018 IEEE.
Information security management frameworks and strategies in higher education institutions: a systematic review
(2021) Merchán Lima, Jorge Luis; Astudillo Salinas, Darwin Fabián; Tello Oquendo, Luis; Sánchez, Franklin; López Fonseca, Gabriel; Quiroz, Dorys
Effective information security management (ISM) practices to protect the information assets of organizations from security intrusions and attacks is imperative. In that sense, a systematic literature review of academic articles focused on ISM in higher education institutions (HEIs) is conducted. For this purpose, an empirical study was performed. Studies carried out from 2012 onward reporting results from HEIs data that perform the ISM through various means, such as a set of framework functions, implementation phases, infrastructure services, and securities to their assets, have been explored. The articles found were then analyzed following a methodological procedure consisting of a systematic mapping study with their research questions, inclusion and exclusion criteria, selection of digital libraries, and analysis of the respective search strings. A set of competencies, resources, directives, and strategies that contribute to designing and to developing an ISM framework (ISMF) for HEIs is identified based on standards such as ISO 27000, COBIT, ITIL, NIST, and EDUCAUSE. This study introduces a strategic reference that guides HEIs on the development of an ISMF and provides recommendations that should be considered for its implementation in an era of ever-evolving security threats.
An open source SCADA system to implement advanced computer integrated manufacturing
(IEEE COMPUTER SOCIETY, 2016-12-01) Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Ochoa, S; Velecela, E
The computer integrated manufacturing (CIM) approach allows the possibility to remotely and optimally control the entire production process in a plant. The implementation of CIM architectures demands the installation of several software platforms, which most of the cases are commercial and have high licensing prices. This research presents the development of an open software architecture for advanced CIM (OSACIM) by using two open software development platforms: Java and Python. The use of open software in the development of this solution allows the creation of a low price CIM approach. The results of using the system in laboratory tests show good results in comparison with commercial softwares for developing OPC communications and SCADA systems, which perform similar functionalities as the proposed OSACIM. The main features and limitations of the system are reported.
Pseudo Random Network Coding in Infrastructure to Vehicle Environment for Data Download
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-07-14) Astudillo Salinas, Darwin Fabián
This paper introduces a new approach for infrastructure based content distribution in a vehicular network. It is built on broadcasting and pseudo random network coding. Its main strength is that, being broadcast based, it does not need any feedback channel and thus uses less data rate. Data is transmitted exploiting network coding, multiple linear combinations of data are sent. A vehicle needs to receive a defined number of independent linear combinations to decode the data. The server will send a larger number of different linear combinations. The unreliability of broadcast is thus neutralized through a useful redundancy rather than through re-transmission. Finally, computation of the linear combination coefficients is done so that the overhead is the same as it would be without network coding. Depending on the infrastructure deployed, this technique can be a content distribution solution per se or the first step in a more general solution, the second step being based on collaborative download. The high diversity in transmissions will then be a key feature for the performance of such an application.