This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. This last volume of a 3-volume set focuses on bioinformatics advances and signal/image processing methods applied in medical diagnosis and therapy, and medical data analysis. It highlights the use of machine learning methods, deep learning models, explainable AI, serious games and mobile technologies in biomedicine and health. Throughout the book, a special emphasis is given to low-cost technologies and to their development for and applications in clinical settings. Based on the XXIX Brazilian Congress on Biomedical Engineering (CBEB 2024), held on September 2-6, 2024, Ribeirão Preto-SP, Brazil, this book provides researchers and professionals in the biomedical engineering field with extensive information on new technologies and current challenges for their clinical applications.
This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. This last volume of a 3-volume set focuses on bioinformatics advances and signal/image processing methods applied in medical diagnosis and therapy, and medical data analysis. It highlights the use of machine learning methods, deep learning models, explainable AI, serious games and mobile technologies in biomedicine and health. Throughout the book, a special emphasis is given to low-cost technologies and to their development for and applications in clinical settings. Based on the XXIX Brazilian Congress on Biomedical Engineering (CBEB 2024), held on September 2-6, 2024, Ribeirão Preto-SP, Brazil, this book provides researchers and professionals in the biomedical engineering field with extensive information on new technologies and current challenges for their clinical applications.
Alcimar Barbosa Soares
Machine Learning Applications in Biomedicine Segmentation of Biomedical Images Classification of Motor Tasks EEG Analysis Image Segmentation for Tumor Recognition Real-Time Electromyography Signal Acquistion Biomedical Signal Processing Methods Principal Component Analysis Applications Disease Classification Automatic Disease Detection Applications of Convolutional Neural Networks MRI Segmentation Algorithms in Biomechanics