En la presente investigacion, se ha desarrollado un modelo matematico de la respuesta electrica d... more En la presente investigacion, se ha desarrollado un modelo matematico de la respuesta electrica de la retina, medida sobre la cornea ante un impulso luminoso. La investigacion desarrollada establece las bases un nuevo modelo que represente de una manera mas precisa el comportamiento de los conos y bastones del sistema retiniano, en relacion al modelo mas desarrollado de Usui [1]. Dichos potenciales son modelados mediante un conjunto de filtros adaptables, cuyas variaciones en tiempo se ajustan facilmente calculando los pesos de los filtros. A partir de los modelos matematicos desarrollados, es posible sintetizar cualquier potencial de accion presente en la retina, con una precision del 99.99%. Igualmente se ha mejorado la propuesta de diversos grupos de investigadores, para lograr la activacion de estas celulas por medio de la estimulacion electrica transcorneal (EET). El estado del arte en EET hasta antes de esta investigacion, consideraba senales bipolares cuadradas para tal efect...
Los sistemas biométricos basados en el reconocimiento de patrones biométricos utilizan imágenes p... more Los sistemas biométricos basados en el reconocimiento de patrones biométricos utilizan imágenes para extraer información significativa que servirá como patrón de reconocimiento; estos sistemas requieren que las imágenes adquiridas sean lo más clara posible, pues de lo contrario el desempeño de los sistemas biométricos es limitado. En los sistemas de reconocimiento del iris al analizar imágenes de los ojos; nos encontramos con factores de ruido como las pestañas, los párpados y las reflexiones que dificultan la segmentación y se convierten en problemas frecuentes que limitan el reconocimiento en los sistemas biométricos. Para resolver esta problemática se analizaron técnicas que permiten lograr una segmentación del iris discriminando las problemáticas antes mencionadas y así ayudar a desarrolladores de sistemas biométricos en las fases posteriores a la segmentación con la confianza de haber obtenido información significativa en esta etapa; además se presenta la evaluación de tales técnicas mediante programas en MatLab aplicadas en imágenes obtenidas de la base de datos UBIRIS.v1. En el presente trabajo se muestra un análisis del Algoritmo de Canny, CHT (Transformada de Hough Circular) y de un Algoritmo para la Detección de Reflexiones, los cuales en su conjunto nos permiten realizar una buena segmentación del iris (sin los factores de ruido mencionados anteriormente). Además se presentan los resultados obtenidos al analizar las imágenes mediante el código en MatLab del Algoritmo de Canny, CHT y Detección de Reflexiones; igualmente se describe la forma en que éstos fueron desarrollados.
Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020
In this paper, a classification of mosquito’s specie is performed using mosquito wingbeats sample... more In this paper, a classification of mosquito’s specie is performed using mosquito wingbeats samples obtained by optical sensor. Six world-wide representative species of mosquitos, which are Aedes aegypti, Aedes albopictus, Anopheles arabiensis, Anopheles gambiae and Culex pipiens, Culex quinquefasciatus, are considered for classification. A total of 60,000 samples are divided equally in each specie mentioned above. In total, 25 audio feature extraction algorithms are applied to extract 39 feature values per sample. Further, each audio feature is transformed to a color image, which shows audio features presenting by different pixel values. We used a fully connected neural networks for audio features and a convolutional neural network (CNN) for image dataset generated from audio features. The CNN-based classifier shows 90.75% accuracy, which outperforms the accuracy of 87.18% obtained by the first classifier using directly audio features.
This paper presents the development of an electronic prototype for estimating systolic blood pres... more This paper presents the development of an electronic prototype for estimating systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) by using the features extracted from the oscillometric signal obtained by the device. Firstly, HR was determined through the peaks provided by the oscillometric signal in a period of thirty seconds, providing an estimated value of beats per minute (bpm). Second, the blood pressure (BP) indexes were acquired using a multi-layer perceptron (MLP) and the combination of the Maximum Amplitude Algorithm (MAA), which detects the Mean Arterial Pressure (MAP). The estimated heart rate and the MAP were added to the MLP input to determine the diastolic and sistolic blood pressure. The parameters obtained were transmitted by a LPWAN module to a cloud database, visualizing the information via web server. The parameters obtained during the test phase were compared against Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) provided by the literature, identifying a better response of DBP determination. The proposed prototype could be an auxiliary tool for the estimation of blood pressure and heart rate in a period less than 60 seconds for patients in ambulatory conditions helping the medical staff to obtain clinical information of patients during their daily activities.
This paper presents the development of an electronic prototype for estimating systolic blood pres... more This paper presents the development of an electronic prototype for estimating systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) by using the features extracted from the oscillometric signal obtained by the device. Firstly, HR was determined through the peaks provided by the oscillometric signal in a period of thirty seconds, providing an estimated value of beats per minute (bpm). Second, the blood pressure (BP) indexes were acquired using a multi-layer perceptron (MLP) and the combination of the Maximum Amplitude Algorithm (MAA), which detects the Mean Arterial Pressure (MAP). The estimated heart rate and the MAP were added to the MLP input to determine the diastolic and sistolic blood pressure. The parameters obtained were transmitted by a LPWAN module to a cloud database, visualizing the information via web server. The parameters obtained during the test phase were compared against Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) provided by the literature, identifying a better response of DBP determination. The proposed prototype could be an auxiliary tool for the estimation of blood pressure and heart rate in a period less than 60 seconds for patients in ambulatory conditions helping the medical staff to obtain clinical information of patients during their daily activities.
Today, the entire environment that shapes our society is being modernized. Advances in technology... more Today, the entire environment that shapes our society is being modernized. Advances in technology allow us to materialize ideas that previously seemed impossible, from controlling a house to digitizing entire cities. This article proposes the design of an embedded system using V2X (Vehicle to Everything) communication. This electronic system is connected to smart devices to optimize vehicle flow in high conglomeration cities. This system communicates through IIoT (Internet of Industrial Things), allowing real-time information reception, in order to make decisions. This work is directed towards the alternative of intelligent cities, industry 4.0, and artificial intelligence techniques to improve the quality of life of people inhabiting a certain zone.
Wearable technologies are becoming a profitable means of monitoring a person’s health state, such... more Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works rela...
2017 International Conference on Electronics, Communications and Computers (CONIELECOMP), 2017
In Mexico a great number of diseases spread by the mosquitos Aedes has been reported. There are s... more In Mexico a great number of diseases spread by the mosquitos Aedes has been reported. There are some regions on the country that this number is alarming. The spread of this disease becomes a public health problem and the government is worried about this situation and applied some methods for reducing the infection rate. One of principal methods relies on the localization of the mosquito's larvae and then fumigates them. The localization of Aedes larvae is accomplished through state programs which take a considerable time, making them not efficient enough. In this paper we propose a novel method based on convolutional neural networks, where a dataset of larva is used in training in order that the machine learns two types of mosquitos, genus Aedes and “others” genera. The digital images of larva are processed using a set of machine learning algorithms and as a result, the classification task is done. The proposed method would make the larva identification process more efficient, automatic and faster than the conventional methods, and thus the infection rates would be decrease. The results show a good performance on Aedes larva identification, proving that the system can be applied in the real world.
INTRODUCCIÓN El reconocimiento del iris se ha convertido en una de las tecnologías biométricas má... more INTRODUCCIÓN El reconocimiento del iris se ha convertido en una de las tecnologías biométricas más confiables debido a su unicidad. Una de las etapas más críticas dentro de los sistemas de reconocimiento biométrico basados en patrones del iris es segmentar éste último del resto de la imagen. El propósito de la segmentación del iris es separar el área del iris del resto de la imagen y localizar los límites internos y externos del iris aún en presencia de elementos considerados ruido, tales como: párpados, esclera y reflexiones. Lograr la segmentación del iris se dificulta debido a que generalmente, al momento de capturar una imagen, el iris es obstruido por párpados o reflexiones causadas por la iluminación presente en ese momento. Todos esos factores afectan la obtención correcta del iris y a las etapas subsecuentes de un sistema de reconocimiento biométrico perjudicando la autenticación de la persona. Para resolver esta problemática se propone el desarrollo de una aplicación que im...
En el presente documento se muestra la actualizacion del diseno patentado de un sistema electroni... more En el presente documento se muestra la actualizacion del diseno patentado de un sistema electronico, construido para su aplicacion en experimentos de estimulacion electrica transcorneal. Las actualizaciones realizadas al dispositivo patentado permiten el calculo, manipulacion, control, monitoreo y aplicacion de senales electricas previamente probadas en experimentos con humanos. La comunicacion inalambrica implementada facilitara la atencion simultanea de hasta 216 equipos con una sola PC de control. Los resultados muestran la estabilidad del modelo lineal calculado para la programacion de codigos digitales. No se cuenta con registro de dispositivos con las caracteristicas del sistema aqui presentado, el cual aun se encuentra en etapa de desarrollo y no ha sido probado con pacientes humanos. Palabra(s) Clave(s): estimulacion electrica transcorneal, estimulador, sistema electronico, terapia experimental.
En la presente investigacion, se ha desarrollado un modelo matematico de la respuesta electrica d... more En la presente investigacion, se ha desarrollado un modelo matematico de la respuesta electrica de la retina, medida sobre la cornea ante un impulso luminoso. La investigacion desarrollada establece las bases un nuevo modelo que represente de una manera mas precisa el comportamiento de los conos y bastones del sistema retiniano, en relacion al modelo mas desarrollado de Usui [1]. Dichos potenciales son modelados mediante un conjunto de filtros adaptables, cuyas variaciones en tiempo se ajustan facilmente calculando los pesos de los filtros. A partir de los modelos matematicos desarrollados, es posible sintetizar cualquier potencial de accion presente en la retina, con una precision del 99.99%. Igualmente se ha mejorado la propuesta de diversos grupos de investigadores, para lograr la activacion de estas celulas por medio de la estimulacion electrica transcorneal (EET). El estado del arte en EET hasta antes de esta investigacion, consideraba senales bipolares cuadradas para tal efect...
Los sistemas biométricos basados en el reconocimiento de patrones biométricos utilizan imágenes p... more Los sistemas biométricos basados en el reconocimiento de patrones biométricos utilizan imágenes para extraer información significativa que servirá como patrón de reconocimiento; estos sistemas requieren que las imágenes adquiridas sean lo más clara posible, pues de lo contrario el desempeño de los sistemas biométricos es limitado. En los sistemas de reconocimiento del iris al analizar imágenes de los ojos; nos encontramos con factores de ruido como las pestañas, los párpados y las reflexiones que dificultan la segmentación y se convierten en problemas frecuentes que limitan el reconocimiento en los sistemas biométricos. Para resolver esta problemática se analizaron técnicas que permiten lograr una segmentación del iris discriminando las problemáticas antes mencionadas y así ayudar a desarrolladores de sistemas biométricos en las fases posteriores a la segmentación con la confianza de haber obtenido información significativa en esta etapa; además se presenta la evaluación de tales técnicas mediante programas en MatLab aplicadas en imágenes obtenidas de la base de datos UBIRIS.v1. En el presente trabajo se muestra un análisis del Algoritmo de Canny, CHT (Transformada de Hough Circular) y de un Algoritmo para la Detección de Reflexiones, los cuales en su conjunto nos permiten realizar una buena segmentación del iris (sin los factores de ruido mencionados anteriormente). Además se presentan los resultados obtenidos al analizar las imágenes mediante el código en MatLab del Algoritmo de Canny, CHT y Detección de Reflexiones; igualmente se describe la forma en que éstos fueron desarrollados.
Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020
In this paper, a classification of mosquito’s specie is performed using mosquito wingbeats sample... more In this paper, a classification of mosquito’s specie is performed using mosquito wingbeats samples obtained by optical sensor. Six world-wide representative species of mosquitos, which are Aedes aegypti, Aedes albopictus, Anopheles arabiensis, Anopheles gambiae and Culex pipiens, Culex quinquefasciatus, are considered for classification. A total of 60,000 samples are divided equally in each specie mentioned above. In total, 25 audio feature extraction algorithms are applied to extract 39 feature values per sample. Further, each audio feature is transformed to a color image, which shows audio features presenting by different pixel values. We used a fully connected neural networks for audio features and a convolutional neural network (CNN) for image dataset generated from audio features. The CNN-based classifier shows 90.75% accuracy, which outperforms the accuracy of 87.18% obtained by the first classifier using directly audio features.
This paper presents the development of an electronic prototype for estimating systolic blood pres... more This paper presents the development of an electronic prototype for estimating systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) by using the features extracted from the oscillometric signal obtained by the device. Firstly, HR was determined through the peaks provided by the oscillometric signal in a period of thirty seconds, providing an estimated value of beats per minute (bpm). Second, the blood pressure (BP) indexes were acquired using a multi-layer perceptron (MLP) and the combination of the Maximum Amplitude Algorithm (MAA), which detects the Mean Arterial Pressure (MAP). The estimated heart rate and the MAP were added to the MLP input to determine the diastolic and sistolic blood pressure. The parameters obtained were transmitted by a LPWAN module to a cloud database, visualizing the information via web server. The parameters obtained during the test phase were compared against Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) provided by the literature, identifying a better response of DBP determination. The proposed prototype could be an auxiliary tool for the estimation of blood pressure and heart rate in a period less than 60 seconds for patients in ambulatory conditions helping the medical staff to obtain clinical information of patients during their daily activities.
This paper presents the development of an electronic prototype for estimating systolic blood pres... more This paper presents the development of an electronic prototype for estimating systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) by using the features extracted from the oscillometric signal obtained by the device. Firstly, HR was determined through the peaks provided by the oscillometric signal in a period of thirty seconds, providing an estimated value of beats per minute (bpm). Second, the blood pressure (BP) indexes were acquired using a multi-layer perceptron (MLP) and the combination of the Maximum Amplitude Algorithm (MAA), which detects the Mean Arterial Pressure (MAP). The estimated heart rate and the MAP were added to the MLP input to determine the diastolic and sistolic blood pressure. The parameters obtained were transmitted by a LPWAN module to a cloud database, visualizing the information via web server. The parameters obtained during the test phase were compared against Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) provided by the literature, identifying a better response of DBP determination. The proposed prototype could be an auxiliary tool for the estimation of blood pressure and heart rate in a period less than 60 seconds for patients in ambulatory conditions helping the medical staff to obtain clinical information of patients during their daily activities.
Today, the entire environment that shapes our society is being modernized. Advances in technology... more Today, the entire environment that shapes our society is being modernized. Advances in technology allow us to materialize ideas that previously seemed impossible, from controlling a house to digitizing entire cities. This article proposes the design of an embedded system using V2X (Vehicle to Everything) communication. This electronic system is connected to smart devices to optimize vehicle flow in high conglomeration cities. This system communicates through IIoT (Internet of Industrial Things), allowing real-time information reception, in order to make decisions. This work is directed towards the alternative of intelligent cities, industry 4.0, and artificial intelligence techniques to improve the quality of life of people inhabiting a certain zone.
Wearable technologies are becoming a profitable means of monitoring a person’s health state, such... more Wearable technologies are becoming a profitable means of monitoring a person’s health state, such as heart rate and physical activity. The use of the smartwatch is becoming consolidated, not only as a novelty but also as a very useful tool for daily use. In addition, other devices, such as helmets or belts, are beneficial for monitoring workers and the early detection of any anomaly. They can provide valuable information, especially in work environments, where they help reduce the rate of accidents and occupational diseases, which makes them powerful Personal Protective Equipment (PPE). The constant monitoring of the worker’s health can be done in real-time, through temperature, falls, noise, impacts, or heart rate meters, activating an audible and vibrating alarm when an anomaly is detected. The gathered information is transmitted to a server in charge of collecting and processing it. In the first place, this paper provides an exhaustive review of the state of the art on works rela...
2017 International Conference on Electronics, Communications and Computers (CONIELECOMP), 2017
In Mexico a great number of diseases spread by the mosquitos Aedes has been reported. There are s... more In Mexico a great number of diseases spread by the mosquitos Aedes has been reported. There are some regions on the country that this number is alarming. The spread of this disease becomes a public health problem and the government is worried about this situation and applied some methods for reducing the infection rate. One of principal methods relies on the localization of the mosquito's larvae and then fumigates them. The localization of Aedes larvae is accomplished through state programs which take a considerable time, making them not efficient enough. In this paper we propose a novel method based on convolutional neural networks, where a dataset of larva is used in training in order that the machine learns two types of mosquitos, genus Aedes and “others” genera. The digital images of larva are processed using a set of machine learning algorithms and as a result, the classification task is done. The proposed method would make the larva identification process more efficient, automatic and faster than the conventional methods, and thus the infection rates would be decrease. The results show a good performance on Aedes larva identification, proving that the system can be applied in the real world.
INTRODUCCIÓN El reconocimiento del iris se ha convertido en una de las tecnologías biométricas má... more INTRODUCCIÓN El reconocimiento del iris se ha convertido en una de las tecnologías biométricas más confiables debido a su unicidad. Una de las etapas más críticas dentro de los sistemas de reconocimiento biométrico basados en patrones del iris es segmentar éste último del resto de la imagen. El propósito de la segmentación del iris es separar el área del iris del resto de la imagen y localizar los límites internos y externos del iris aún en presencia de elementos considerados ruido, tales como: párpados, esclera y reflexiones. Lograr la segmentación del iris se dificulta debido a que generalmente, al momento de capturar una imagen, el iris es obstruido por párpados o reflexiones causadas por la iluminación presente en ese momento. Todos esos factores afectan la obtención correcta del iris y a las etapas subsecuentes de un sistema de reconocimiento biométrico perjudicando la autenticación de la persona. Para resolver esta problemática se propone el desarrollo de una aplicación que im...
En el presente documento se muestra la actualizacion del diseno patentado de un sistema electroni... more En el presente documento se muestra la actualizacion del diseno patentado de un sistema electronico, construido para su aplicacion en experimentos de estimulacion electrica transcorneal. Las actualizaciones realizadas al dispositivo patentado permiten el calculo, manipulacion, control, monitoreo y aplicacion de senales electricas previamente probadas en experimentos con humanos. La comunicacion inalambrica implementada facilitara la atencion simultanea de hasta 216 equipos con una sola PC de control. Los resultados muestran la estabilidad del modelo lineal calculado para la programacion de codigos digitales. No se cuenta con registro de dispositivos con las caracteristicas del sistema aqui presentado, el cual aun se encuentra en etapa de desarrollo y no ha sido probado con pacientes humanos. Palabra(s) Clave(s): estimulacion electrica transcorneal, estimulador, sistema electronico, terapia experimental.
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