A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, artificial intelligence algorithms, implemented into a Raspberry Pi board with Python programming language.Two training tasks were evaluated by system: transferring pattern cutting. Computer vision libraries used to obtain number transferred points simulated cutting trace means tracking instrument. An neural network...

Patients diagnosed with diabetes mellitus must monitor their blood glucose levels in order to control the glycaemia. Consequently, they perform a capillary test at least three times per day and, besides that, laboratory once or twice month. These standard methods pose difficulty for patients since need prick finger determine concentration, yielding discomfort and distress. In this paper, an Internet of Things (IoT)-based framework non-invasive monitoring is described. The system based on...

The risks associated with landslides are increasing the personal losses and material damages in more areas of world. These natural disasters related to geological extreme meteorological phenomena (e.g., earthquakes, hurricanes) occurring regions that have already suffered similar previous catastrophes. Therefore, effectively mitigate landslide risks, new methodologies must better identify understand all these hazards through proper management. Within methodologies, those based on assessing...

Landslides are recognized as high-impact natural hazards in different regions around the world; therefore, they extensively researched by experts. Landslide inventories essential to identify areas that likely be affected future, thereby enabling interventions prevent loss of life. Today, through combined approaches, such remote sensing and machine learning techniques, it is possible apply algorithms use data derived from satellite images produce landslide inventories. This work presents...

A continuous monitoring of the biomedical signals human body such as ECG, blood pressure, SaO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , and temperature is necessary in treatment chronic diseases. The depends directly on evolution these signals. Being an ambulatory health care system, order to have data at any moment anywhere. Android OS a powerful tool able process, store visualize system presented this paper device energized...

Feature selection is a common solution to microarray analysis. Previous approaches either select features based on classical statistical tests that can be tuned up with classifier, or using regularization penalties incorporated in the cost function. Here we propose use feature ranking and ighting scheme instead, which combines techniques weighted k-NN classifier modified forward procedure. We demonstrate classification accuracy of our proposal outperforms existing methods range public gene...

Parkinson’s disease (PD) is a neurological condition that chronic and worsens over time, which presents challenging diagnosis. An accurate diagnosis required to recognize PD patients from healthy individuals. Diagnosing at early stages can reduce the severity of this disorder improve patient’s living conditions. Algorithms based on associative memory (AM) have been applied in using voice samples with health condition. Even though AM models achieved competitive results classification, they do...

The treatment and care of patients with chronic diseases depends directly on the evolution biomedical parameters. It is important to have a monitoring health system that provides data at any time place. Here, multi-sensing built-in non-invasive blood glucose level estimation method presented.Six parameters were obtained from 15 participants. Glucose levels using computer vision approach. A standard laboratory test was taken as baseline, commercial glucometer secondary reference. remaining...

The rapid proliferation of connectivity, availability ubiquitous computing, miniaturization sensors and communication technology, have changed healthcare in all its areas, creating the well-known paradigm e-Health. In this paper, an embedded system capable monitoring, learning classifying biometric signals is presented. machine model based on associative memories to predict presence or absence coronary artery disease patients. Classification accuracy, sensitivity specificity results show...

The present study comprises a comparison of the Mel Frequency Cepstral Coefficients (MFCC), Principal Component Analysis (PCA) and Independent (ICA) as feature extraction methods using ten different regression algorithms (AdaBoost, Bayesian Ridge, Decision Tree, Elastic Net, k-NN, Linear Regression, MLP, Random Forest, Ridge Regression Support Vector Regression) to quantify blood glucose concentration. A total 122 participants—healthy diagnosed with type 2 diabetes—were invited be part this...

Mexico ranks first in the world childhood obesity, and second obesity adults. Although there are several health promotion programs, some vulnerable communities still a high risk for increasing prevalence of overweight obesity. The aim this study was to determine feasibility develop an automatic screening tool diagnosis community State Guerrero, Mexico, using anthropometric variables machine learning approach. Results show that presented classifiers exhibit capacity assess either child is...

Las tecnologías de la información y comunicación (TIC) han dejado ser una mera herramienta para convertirse en parte fundamental educación. generaciones demandan, actualmente, el uso nuevas aplicar llamada enseñanza calidad. En este documento, las herramientas TIC se describen marco su implementación actividades didácticas los métodos evaluación por profesores del cuerpo académico: Desarrollo Tecnológico Aplicado, asignados a Facultad Ingeniería Universidad Autónoma Guerrero. El presente...

In this paper, a new method of alpha-beta associative memories for images (MAABI) is presented. This results in the transform (TAB) images. The presented paper applied to sub-blocks gray-scale image and generates an heteroassociative memory on each sub-block using given transformation matrix. By means inverse (TABI), original patterns are recovered. data compression process divided into three stages: transformation, quantization coding. Our model focused transformation; we compare it with...

Los Gases Licuados del Petróleo (GLP) o comúnmente denominados como Gas LP es un combustible inflamable usado en diferentes actividades dentro hogar, desde la cocción de alimentos, calefacción, generadores energía emergencia, entre otros, por lo tanto, su uso debe ser siguiendo las normas y regulaciones pertinentes junto a adecuadas instalaciones cuales deben revisadas regularmente también conexiones gas. Ya que posibles fugas este desencadenan graves accidentes al punto posiblemente...

El pie diabético es una complicación crónica de la diabetes mellitus que puede ocurrir cuando los niveles glucosa en sangre no están adecuadamente controlados. Esta condición daña nervios y/o vasos sanguíneos pies, y si se cuida adecuadamente, llevar a lesiones, infecciones y, casos graves, amputación las extremidades. Se estima entre el 71% 85% pacientes diabéticos con úlceras pies requieren amputaciones. Por lo tanto, crucial detectar desarrollo para mejorar calidad vida diabético. En este...

En el campo del aprendizaje automático, existen varios desafíos que afectan desempeño de los algoritmos clasificación. Algunos estos incluyen la maldición dimensionalidad o desbalanceo clases. La es un fenómeno ocurre cuando número características (p) conjunto datos aumenta significativamente en comparación con instancias (n) disponibles. Por otro lado, clases una varias tienen representación menor otras Esto disminuye rendimiento clasificador, ya genera sesgos clasificación hacia clase...