The skin's response to electrical stimuli depends not only on the composition and thickness of each layer but also on the geometry associated with the excitation electrodes. Therefore, an evaluation of the effects of electrode geometry is necessary. This study used the COMSOL Multiphysics® platform and a 2D model based on a simplified array of interdigitated electrodes connected...
Bioelectrical impedance analysis (BIA) is an easy, safe, inexpensive and noninvasive method to evaluate body composition. Moreover, it allows the assessment of phase angle (PA), a biomarker reflecting cellular stability and hydration, which is also useful to assess nutritional status as well as a prognostic marker of clinical conditions and disease progression monitoring. The aim...
Glyphosate is an aminophosphonate chemical compound part of most commercial herbicides. Due to its wide use in agriculture, it is found in water bodies as an emerging contaminant. This work uses a polypyrrole-based molecularly imprinted polymer as a recognition layer to detect glyphosate. A glyphosate oxidation study was carried out with a non-imprinted polymer (NIP) and a...
Breast cancer remains one of the leading causes of cancer mortality in women worldwide. Electrochemical biosensors are technologies of interest due to their low production cost and ease of miniaturization. They have been used to detect analytes associated with breast cancer, showing high sensitivity and selectivity. These techniques provide quantitative information about DNA...
Advancements in electronic textiles and flexible electronics have significantly enhanced tools for monitoring and improving quality of life. Among these innovations, resistive fabric has emerged as a valuable component in biomedical engineering due to its sensitivity to deformation. This work presents the development and evaluation of a wearable sensor utilizing conductive...
The detection of muscle fatigue has been indispensable in optimizing electrical bioimpedance myography, a non-invasive and easy-to-use diagnostic method that allows to obtain accurate results on the physiological behavior of the body. The aim of the present work was to perform muscle fatigue detection during physical activity using electrical bioimpedance (EB), examining the...
Currently, urodynamics is the technique used for monitoring bladder volume, as it allows the diagnosis of various bladder pathologies such as neurogenic bladder dysfunction. This technique has limitations, including invasiveness and limited ability to detect dynamic changes. Electrical bioimpedance (EBI) emerges as a non-invasive alternative that measures changes in the...
Impedimetric gold transducers were fabricated on glass substrates using a simple photolithography method without requiring a photolithography machine. An acetate sheet containing printed electrode designs and edge markings for alignment during pattern transfer was used as photomask. A compact pattern phototransfer system named Expotransfer, was designed for this process. Gold...
Environmental contamination by pharmaceuticals is a growing problem that requires innovative solutions for detection. This study aims to develop a nanomaterial-based electrochemical sensor for acetaminophen detection in water bodies. An electrode modified with lanthanum orthoferrite and gold nanoparticles was evaluated as a sensing platform employing electrochemical impedance...
The estimation of Desoxyribonucleic Acid (DNA) concentrations and purity requires the use of specialized equipment, which tends to be quite expensive and not always available in low-resource laboratories. It is important to develop efforts to seek innovative and inexpensive techniques for such purpose. Electrical Bioimpedance Spectroscopy (EBiS) is a relatively low-cost and easy...
Survival in patients with mechanical ventilation depends on careful regulation of some critical parameters as the tidal volumes (VT), positive end expiratory pressure (PEEP), lower end inspiratory pressure (Plateau), the driving Pressure (DP=Plateau - PEEP), and respiratory system compliance (Crs= VT/DP) related with the functional lung size. These parameters are obtained from...
Detecting Deoxyribonucleic Acids (DNA) through their electrical properties is a technique that has not been fully explored. Developing biosensors for detecting label-free DNA without functionalizing transducer surfaces continues to be a relevant technological challenge. Our research group has reported multi-frequency bioimpedance measurements as a potential technique for...
This research introduces an assessment of bladder function using bioimpedance spectroscopy, noted for being not invasive. Eight healthy volunteers were selected to measure impedance spectra of belly under full and empty bladder conditions. The study demonstrates a significant relationship between belly impedance and bladder state, suggesting that this technique could be useful...
Continuous monitoring of body composition is a relevant condition in monitoring sport people and essential in the training of high-performance athletes. Currently, there are no portable devices for personal use that allow athletes to track changes in their body composition as a result of their training program. Magnetic Induction Spectroscopy (MIS) allows non- invasive...
The forward and inverse solution of the Electrical Impedance Tomography (EIT) governing equation (Laplace's and Poisson's equation) have been analyzed and implemented in personal computers and small board computers but not in computers based on microcontrollers. In this work, both solutions, the forward and inverse problem were computed and implemented into an embedded system...
Bioimpedance is a passive electrical property of biological tissues and here we propose that it can be applied to assess damaging cellular changes. This study applies bioimpedance techniques to detect cellular alterations consistent with the cytotoxicity induced by the pore forming toxin Vibrio cholerae cytolysin (VCC). In this study, electrical impedance properties of tissue...
The search for non-invasive methods to estimate blood glucose levels has driven research into bioimpedance based on Electrochemical Impedance Spectroscopy (EIS) [1,2]. Various studies have demonstrated correlations between glucose levels and the electrical properties of the skin measured through impedance [3]. To enhance accuracy, optimizing factors such as electrode geometry is...
Genomic medicine promises valuable support for the clinician in predicting pathological conditions. The Polymerase Chain Reaction (PCR) remains the gold standard for gene detection. Electrical Bioimpedance Spectroscopy (EBiS) is a non-invasive, low-cost technique that allows examining the electrical properties of biological materials. Human papillomavirus (HPV) is associated with...
Bioimpedance is a non-invasive technique that measures the electrical properties of biological tissues to assess composition and functional states, such as water content and hydration status. Widely applied in clinical settings (e.g., dialysis, heart failure monitoring) and research (e.g., tissue engineering, tumor characterization), it is valued for its simplicity, low cost, and...
Feature selection is a very crucial step in machine learning. It plays an important role for enhancing model performance, interpretability and efficiency. The main goal of feature selection is to select the optimal subset of features which is considered as the relevant features. In this paper, we introduce a novel feature selection approach based on a novel optimization approach...
The use of Machine Learning (ML) in e-commerce has revolutionized key processes such as service personalization, dynamic pricing optimization, and sales forecasting, generating a direct impact on both operational efficiency and user experience quality. The objective of this paper is to rigorously identify, analyze, and synthesize the findings of the most relevant studies related...
In the state of Hidalgo, México, agriculture faces critical challenges due to climate change, such as resource scarcity, while also striving to ensure food security. One of the most pressing issues in corn cultivation is inadequate weed management, which reduces productivity and increases production costs. This article proposes an autonomous system for weed detection and removal...
Within the context of basic education, one of the persistent challenges is the low academic performance and limited student engagement in the Social Studies course. This issue is further exacerbated by the lack of innovative pedagogical tools that promote active learning. In response to this situation, the objective of this study was to evaluate the impact of Augmented Reality...
Generative adversarial networks (GANs) offer an innovative approach to synthetic image generation. They have significantly impacted the creation of images that would otherwise be difficult to obtain. In this study, we examine several GAN architectures to determine whether they can generate synthetic mammography images to enrich an existing repository, thereby improving AI...
One-third of global energy demand is attributed to consumption in buildings, with HVAC and lighting systems as the primary contributors. This study presents the development and comparison of several machine-learning algorithms for predicting energy consumption in a building simulated using EnergyPlus and following the Team Data Science Process (TDSP) methodology. Feature...