CMBEBIH 2021

This book presents cutting-edge research and developments in the field of medical and biological engineering. It gathers the proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021, held partly virtually, partly physically, on April 2124, 2021, from and in Mostar, Bosnia and Herzegovina. Focusing on the goal to 'Stay Focused', contributions report on both basic and applied research in a wide range of related fields, such as biomedical signal processing, medical physics and imaging, biosensors and micro/nanotechnologies, biomaterials, biomechanics and robotics, cardiorespiratory, endocrine and neural systems engineering. Novel models, methods and technologies for bio- and health informatics, as well as applications of machine learning and AI in health care, and advances in genetic engineering are also highlighted. All in all, this book provides academics and professionals with novel, practical solutions to solve the current problems in biomedical research and applications, and a source of inspiration for improving medicine and health care in the future.

Reports on innovative biomedical engineering research and developments Describes improved signal/image processing methods Highlights the potential of systems engineering research in medicine

Inhalt
Effect of Seasonal Changes on Serum Vitamin D Concentration.- Diagnosis of Neuromuscular Disorders Using TQWT and Random Subspace Ensemble Classifier.- Analysis of Autonomic Nervous System Biosignals.- An Improved Model for the Assessment of Cutaneous Microcirculation in Type 1 Diabetes.- Respiratory System Dynamical Mechanical Properties: Modeling in Time and Frequency Domain.- Simulating Passage and Absorption of Bolus with an Emphasis on the Small Intestine Using a Multi-Component Model.- Development of a Portable Device for Urodynamic Data Acquisition Suitable for Home Use.- The Analysis of Biochemical Markers for the Diagnosis of an Acute Myocardial Infarction Using Artificial Neural Network.- Prediction of Multi-drug Resistance in Escherichia Coli Using Machine Learning Algorithms.- Application of Neural Network in the Kidney Living Donor Selection Criteria Using Biomarkers Data.<p