This book reports on cutting-edge research and best practices in the broad fiel of biomedical engineering. Based on the XLVI Mexican Congress on Biomedical Engineering, CNIB 2023, held on November 2-4, 2023 in Villahermosa Tabasco, Mexico, this first volume of the proceedings covers research topics in biomedical signals and image processing, artificial intelligence, biosensors, and wearable systems, with applications ranging from disease classification and diagnosis, to health monitoring and medical therapy. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expect to foster future collaborations between the two groups, as well as international collaborations.

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Gives insights into AI techniques and their applications in medicine Reports on wearables and sensors for health monitoring First volume of a 2-volume set

Inhalt
Comparation of Machine Learning Algorithms for Adhd Detection with Eye Tracking.- Skinsight: A Melanoma Detection App Based on Deep Learning Models with On-device Inference.- Classification of Acid-base Disorders Through Machine Learning.- Identification of Pneumonia with X-ray Images Using Deep Transfer Learning.- In Silico Coaxial Antenna Design Applicator Optimization for Microwave Ablation Therapy in Medium Adipose Tissue Density Breast with Ductal Carcinoma In-situ.- Convolutional Neural Network for Classifying Thoracic Diseases in Adult Patients.- Computation of Human-sperm Local Flagellar Instantaneous Velocity.- Machine Learning Model to Classify Patients with Complicated and Uncomplicated Type 2 Diabetes Mellitus in the New Civil Hospital of Guadalajara.- Simulator for Cardiovascular Procedures.- Design and Characterization of a Microfluidic Biological System for Bone Tissue.- Tumor Tissue Classification in Hyperspectral Histopathology Images Through Individual and Ensemble ofMachine Learning Algorithms.- Classification of Covid-19 Mortality Risk: A Neural Network-based Approach Using Mexican Healthcare Sector Data.- Design of a Convolutional Neural Network for Hippocampal Segmentation in Epileptics and Healthy Patients.- Development and Evaluation of a Diagnostic Exam for Undergraduate Biomedical Engineering Students Using Gpt Language Model-based Virtual Agents.- Transcriptional Expression of Bioactive Antimicrobial Peptides with Biomedical Potential in Diverse Organs of the Mexican Axolotl. <p