Full Description
This book reports on fundamental research, cutting-edge technologies and industrially-relevant applications in biomedical engineering. It covers methods for analysis, modeling and simulation of biological systems, reporting on the development and design of advanced biosensors, nanoparticles and wearable devices. It covers applications in disease monitoring and therapy, tissue engineering, sport and rehabilitation, and telehealth. It also reports on engineering methods for improving and monitoring medical service, and on advanced robotic applications. Gathering the proceedings of the XLV Congreso Nacional de Ingeniería Biomédica (CNIB2022), organised by the Mexican Society of Biomedical Engineering, this book offers a timely snapshot on technologies and methods in bioengineering, and on challenges related to their practical implementation in the health sector.
Contents
Device for the Fall Detection in Older Adults Through Neural Networks.- Breast Cancer Detection Algorithm Using Ensemble Learning.- Graph Analysis of Functional Connectivity Rs-FMRI in Healthy and Epileptic Brain Using Visibility Algorithm.- Imagined Speech Recognition in a Subject Independent Approach Using a Prototypical Network.- Design and Comparison of Artificial Intelligent Algorithms for Breast Cancer Classification.- Electrophysiological Signals Simulation with Machine Learning.- Quantification of a Lip and Palate Clefts Classification.- Artificial Intelligence Applied to Breast Cancer Classification.- Computational Chemistry as an Educational Tool in Health Sciences.- A Gene-Community Overview of Transcriptional Dynamics During Neurodevelopment.- CNNs for ISCI Stage Recognition on Video Sequences.- Stacked Spatial and Temporal Deep Learning Methods for Identification of Parkinson's Disease Using Gait Signals.- Diversity of Genotyping Chlamydia Trachomatis Serovars in Urogenital Samples from Mexican Patients: A Molecular and Bioinformatic Characterization.- Detection of Breast Cancer in Mammography Using Deep Learning Models.
