Members | SDAS - Smart Data Analysis Systems Group

Email: dagoberto.mayorca@sdas-group.com

He received a degree in physical engineering from the Universidad del Cauca (Colombia) in 2011 and is currently studying for a master's degree in computer engineering at the University of Caldas (Manizales). He has worked as scientific coordinator of the company Trace Technologies (Lausanne-Swiss), led the group of physical-mathematical modeling that designed a large part of the products used for the learning and supervision of ball sports based on processing techniques of images. His main research interests are the application of image processing techniques for the tracking of multiple objects, the segmentation and grouping of data and the three-dimensional reconstruction based on the geometry of multiple views applied mainly in the area of bioengineering. He is currently working as a researcher / professor at Mariana de Pasto University (Colombia).

Research Interests

Biomedical signals, artificial intelligence

Publications

Prototipo para la adquisición y caracterización de señales electromiográficas superficiales del movimiento de flexión-extensión de los dedos de la mano
RISTI
Carlos D. Ortega, Alejandro Ibarra-Piandoy, Edison Viveros-Villada, Dagoberto Mayorca-Torres
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Abstract

El análisis de las señales mioeléctricas producidas por el movimiento de los dedos de miembros superiores son muy importantes en el ámbito de investigación clínica. En la actualidad existen distintos métodos para la adquisición y análisis de estas señales de la actividad bioeléctrica orientado a identificar enfermedades como el túnel del carpo (STC). Este artículo trata sobre el proceso metodológico para desarrollar un prototipo a bajo costo capaz de adquirir y caracterizar de manera fiable las señales EMG. Las señales son capturadas a partir de una serie de electrodos y filtradas mediante el uso de filtros analógicos pasa bajos, pasa altos y notch. Los resultados preliminares mostraron que el prototipo permite la captura de señales de flexión-extensión de los dedos de la mano.
Estudio preliminar de la distribución de presiones en posición bípeda mediante uso de baropodometría óptica y sensores de fuerza resistivos
RISTI
Dagoberto Mayorca-Torres, Edna M. Moncayo-Torres, Daniel M. Burbano-Martínez, Marco A. Chamorro-Lucero, Jaime A. Riascos-Salas, Jose A. Salazar-Castro
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Abstract

La huella plantar es la estructura anatómica que soporta y transmite las fuerzas de reacción del suelo en los procesos de bipedestación y locomoción humana. Su estudio es importante para el diagnóstico de diferentes patologías y su medida es fundamental para la selección del plan terapéutico y suministra información sobre posibles riesgos lesionales. Este artículo describe en etapa preliminar el desarrollo del sistema óptico para la medición dinámica de las presiones plantares. La población fueron dos sujetos sanos hombre y mujer con los que se realizaron mediciones de presiones media en talón, mediopié y antepié en repeticiones de en posición bipedestal. Los resultados preliminares evidenciaron una diferencia significativa en las medidas de presión entre las técnicas de baropodometría óptica y electrónica, sin embargo, el grado de correlación de las medidas permite concluir que ésta pueda ser usada para evaluar la distribución de la carga en el pie.
Portable embedded system for measuring knee angles in human motion using inertial measurement sensors
International Journal on Advanced Science, Engineering and Information Technology (IJASEIT)
D. Mayorca-Torres, J. Cesar Caicedo-Eraso and D.Peluffo-Ordoñez
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Abstract

Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
Biopotential Signals Acquisition from the Brain Through the MindWave Device: Preliminary Results
Communications in Computer and Information Science (CCIS)
I. Galindez-Florez, A. Coral-Flores, E. Moncayo-Torres, D. Mayorca-Torres, H. Guerrero-Chapal
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Abstract

Brain Computer Interface (BCI) systems are the tools that allow the acquisition of biopotential signal spectra, with the most used attention, meditation and eye blinking signals. The main objective of BCI is to translate brain activity in digital form that can be used in different areas such as education, industrial, games, robotics, home automation and medical areas. In particular, this paper focuses on the acquisition and filtering of attention and meditation signals. For this, the variation and behavior of these signals are analyzed against external stimuli and in situations of stress and/or relaxation. EEG signals from the brain were captured by the MindWave Mobile device through the NeuroSky interface at a sampling rate of 1 Hz. The signals obtained are transmitted to two different devices, Arduino (At mega 328) and Raspberry Pi 3 through the Bluetooth module (HC-06) in order to compare the effectiveness of the sending and receiving times. The preliminary results in controlled scenarios allowed us identifying activities where complex mathematical calculations, meditation activities and listening to relaxing music are required. In this same sense, the comparison between the Arduino and Raspberry devices is shown.
Knee Joint Angle Measuring Portable Embedded System based on Inertial Measurement Units for Gait Analysis
International Journal on Advanced Science, Engineering and Information Technology
D. Mayorca-Torres, J. C. Caicedo-Eraso, D. H. Peluffo-Ordóñez
See abstract | see full paper

Abstract

Inside clinical research, gait analysis is a fundamental part of the functional evaluation of the human body's movement. Its evaluation has been carried out through different methods and tools, which allow early diagnosis of diseases, and monitoring and assessing the effectiveness of therapeutic plans applied to patients for rehabilitation. The observational method is one of the most used in specialized centers in Colombia; however, to avoid any possible errors associated with the subjectivity observation, technological tools that provide quantitative data can support this method. This paper deals with the methodological process for developing a computational tool and hardware device for the analysis of gait, specifically on articular kinematics of the knee. This work develops a prototype based on the fusion of inertial measurement units (IMU) data as an alternative for the attenuation of errors associated with each of these technologies. A videogrammetry technique measured the same human gait patterns to validate the proposed system, in terms of accuracy and repeatability of the recorded data. Results showed that the developed prototype successfully captured the knee-joint angles of the flexion-extension motions with high consistency and accuracy in with the measurements obtained from the videogrammetry technique. Statistical analysis (ICC and RMSE) exhibited a high correlation between the two systems for the measures of the joint angles. These results suggest the possibility of using an IMU-based prototype in realistic scenarios for accurately tracking a patient’s knee-joint kinematics during a human gait.
Kernel-spectral-clustering-driven motion segmentation: Rotating-objects first trials
Communications in Computer and Information Science (CCIS)
O. Ona, J.Riascos, I.Marrufo, M.Paez, D. Mayorca-Torres, J.Salazar and D.Hernán Peluffo-Ordoñez
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Abstract

Time-varying data characterization and classification is a field of great interest in both scientific and technology communities. There exists a wide range of applications and challenging open issues such as: automatic motion segmentation, moving-object tracking, and movement forecasting, among others. In this paper, we study the use of the so-called kernel spectral clustering (KSC) approach to capture the dynamic behavior of frames - representing rotating objects - by means of kernel functions and feature relevance values. On the basis of previous research works, we formally derive a here-called tracking vector able to unveil sequential behavior patterns. As a remarkable outcome, we alternatively introduce an encoded version of the tracking vector by converting into decimal numbers the resulting clustering indicators. To evaluate our approach, we test the studied KSC-based tracking over a rotating object from the COIL 20 database. Preliminary results produce clear evidence about the relationship between the clustering indicators and the starting/ending time instance of a specific dynamic sequence.
Improvement of Knee Angle Accuracy based on Kinect and IMU: Preliminary Results
Communications in Computer and Information Science (CCIS)
D. Mayorca-Torres, J. Cesar Caicedo-Eraso and D.Peluffo-Ordoñez
See abstract | see full paper

Abstract

One way to identify musculoskeletal disorders in the lower limb is through the functional examination where the ranges of normality of the joints are evaluated. Currently, this test can be performed with technological support, with optical sensors and inertial measurement sensors (IMU) being the most used. Kinect has been widely used for the functional evaluation of the human body, however, there are some limits to the movements made in the depth plane and when there is occlusion of the limbs. Inertial measurement sensors (IMU) allow orientation and acceleration measurements to be obtained with a high sampling rate, with some restrictions associated with drift. This article proposes a methodology that combines the acceleration measures of the IMU and kinect sensors in two planes of
Multi-Target Tracking for sperm motility measurement using the Kalman Filter and JPDAF: Preliminary Results
RISTI
D. Mayorca-Torres, H. Guerrero-Chapal, J. Mejía-Manzano, D. LopezMesa, D. H. Peluffo-Ordoñez, J. A. Salazar-Castro
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Abstract

The determination of sperm motility characteristics is of great importance for the specification of fertility in men. The semengram is the main diagnostic test to confirm semen quality. Currently, many fertility laboratories use visual assistance techniques to evaluate by using the Makler counting chamber, where motility and sperm count analysis can be performed. This research project proposes a method that allows the quantification of motility through the use of the probabilistic filter (JPDAF) based on the Kalman filter. This research requires the stages of segmentation, feature extraction and development of tracking algorithms for the association of sperm trajectories when there are multiple objectives. A total of 200 individual sperm were selected and the effectiveness for sperm classification was determined according to the mobility categories established by the WHO, obtaining an average value of 93.5% for the categories (A, B, C and D).
Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results
LAWCN 2019
D. Mayorca-Torres, J. C. Caicedo-Eraso, D. H. Peluffo-Ordoñez
See abstract | see full paper

Abstract

One way to identify musculoskeletal disorders in the lower limb is through the functional examination where the ranges of normality of the joints are evaluated. Currently, this test can be performed with technological support, with optical sensors and inertial measurement sensors (IMU) being the most used. Kinect has been widely used for the functional evaluation of the human body, however, there are some limits to the movements made in the depth plane and when there is occlusion of the limbs. Inertial measurement sensors (IMU) allow orientation and acceleration measurements to be obtained with a high sampling rate, with some restrictions associated with drift. This article proposes a methodology that combines the acceleration measures of the IMU and kinect sensors in two planes of movement (Frontal and sagittal). These measurements are filtered in the preprocessing stage according to a Kalman filter and are obtained from a mathematical equation that allows them to be merged. The fusion system data obtains acceptable RMS error values of 5.5 ∘ and an average consistency of 92.5% for the sagittal plane with respect to the goniometer technique. The data is shown through an interface that allows the visualization of knee joint kinematic data, as well as tools for the analysis of signals by the health professional.
Biopotential Signals Acquisition from the Brain Through the MindWave Device: Preliminary Results
International Conference on Applied Technologies
I. Galíndez-Floréz, A. Coral-Flores, E. Moncayo-Torres, D. Mayorca-Torres, H. Guerrero-Chapal
See abstract | see full paper

Abstract

Brain Computer Interface (BCI) systems are the tools that allow the acquisition of biopotential signal spectra, with the most used attention, meditation and eye blinking signals. The main objective of BCI is to translate brain activity in digital form that can be used in different areas such as education, industrial, games, robotics, home automation and medical areas. In particular, this paper focuses on the acquisition and filtering of attention and meditation signals. For this, the variation and behavior of these signals are analyzed against external stimuli and in situations of stress and/or relaxation. EEG signals from the brain were captured by the MindWave Mobile device through the NeuroSky interface at a sampling rate of 1 Hz. The signals obtained are transmitted to two different devices, Arduino (At mega 328) and Raspberry Pi 3 through the Bluetooth module (HC-06) in order to compare the effectiveness of the sending and receiving times. The preliminary results in controlled scenarios allowed us identifying activities where complex mathematical calculations, meditation activities and listening to relaxing music are required. In this same sense, the comparison between the Arduino and Raspberry devices is shown.
Revisión sobre los modelos matemáticos aplicados al control y simulación del proceso de fermentación
Revista I+T+C Investigación, Tecnología y Ciencia
N. Muñoz-Cerón, B. Rosero-Londoño and D. Mayorca-Torres
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Abstract

El presente artículo aborda los modelos matemáticos de procesos de fermentación tanto en batch, fed – batch y CSTR, con fines de simulación y control, en el que se ven la influencia de variables de control como pH, temperatura, grados brix, presión, nivel del líquido, potencia de entrada, velocidad de agitación del motor. Los modelos matemáticos establecidos a través de balances másicos y de energía predicen de manera precisa el comportamiento del proceso fermentación facilitando el diseño y las pruebas de controladores las cuales contribuyen a la enseñanza en esta área, ya que permiten evaluar desempeños de controladores como el PID que es el más usado en este tipo de procesos y otros controladores que aunque son más robustos en el caso de la fermentación brindan las mismas prestaciones.
Reconstrucción de objetos 3d con simetría axial a partir de triangulación láser
Revista Unimar
D. Mayorca Torres, A. Marino López
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Abstract

This article describes the 3D reconstruction of an object that possesses axial symmetry from the laser triangulation method; the system allows obtaining the shape and dimensions of an object by directional light projection in structured form and controlled rotation of the object. The system consists of a lighting stage through the projection of a laser line, a system of acquisition through the use of a webcam and the design of a platform that is responsible for the rotation controlled by a motor coupled to a box speed reducer. The software application allows synchronizing the system through the USB port, to finally perform the image processing and the display of the results obtained in a graphical interface. Experimental design considerations and their limitations as minimum resolution, accuracy of measures are detailed in this article.
Revisión sobre los modelos matemáticos aplicados al control y simulación del proceso de fermentación
Revista I+T+C Investigación, Tecnología y Ciencia
N. Muñoz-Cerón, B. Rosero-Londoño and D. Mayorca-Torres
See abstract | see full paper

Abstract

This article deals with the mathematical models of fermentation processes in batch, fed - batch and CSTR, for the purpose of simulation and control, in which the influence of control variables such as pH, temperature, brix degrees, pressure, level are seen. of the liquid, input power, speed of motor agitation. Mathematical models established through mass and energy balances accurately predict the behavior of the fermentation process by facilitating the design and testing of controllers which contribute to teaching in this area, since they allow evaluating the performance of controllers such as the PID that It is the most used in this type of process and other controllers that although they are more robust in the case of fermentation provide the same benefits.
Digital image processing techniques applied to pressure analysis and morphological features extraction in footprints
Journal of Physics: Conference Series
F. Buchelly, D. Mayorca-Torres , V. Vallirin
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Abstract

This paper shows the correlation between foot morphology and pressure distribution on footplant by means of a morphological parameters analysis and pressure calculation. Footprint images were acquired using an optical pedobarograph and then processed for obtaining binary masks and intensity images in gray scale. Morphological descriptors were obtained from the binary images and the Hernandez Corvo (HC) index was automatically calculated for determine the type of foot. Pressure distributions were obtained from gray scale images making a correspondence between light intensity in footprints and pressure. Pressure analysis was performed by finding the maximum pressure, the mean pressure and the ratio between them that determines the uniformity of the distribution. Finally, a high correlation was found between this ratio and the type of foot determined by HC index.

Research Interests

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