This book gathers the proceedings of the 7th International Conference on Advancements of Medicine and Health Care through Technology, held virtually on 13 - 15 October 2020, from Cluj-Napoca, Romania. It reports on both theoretical and practical developments fostering the use of cutting-edge technology in clinical settings, telemedicine, and biological research. Chapters mainly deal with medical devices, measurements and instrumentation, medical imaging and biological signal processing and health care information systems. Further topics include modeling, simulation and biomechanics, as well as innovative (bio-)materials for biomedical applications. The conference, as well as the realization of this book, was supported by the Romanian Society for Medical Engineering and Biological Technology.

Inhalt

A Matlab Simulation Platform for a Biometric Identification System based on ECG Fiducial Features.- A Study on ECG Denoising using Wiener Filter.- Correlation of Electric EEG and VEP Signals in Normal Neurophysiological Brain Activity.- Information Theory-based Methods in HRV Analysis.- Margin Pruning Adaboost Classification with Nature Inspired Optimization for Alcoholic EEG Classification.- Hand Movements Monitoring Device for Post Parese Recovery Process.- Monitoring of Respiratory Parameters during Wearing Medical Masks.- The Incubation Time Effects on the Precision and Accuracy of the Glycated Hemoglobin.- Consideration Regarding the Implementation of a System for Monitoring a Person in the Office.- The Influence of Electromagnetic Waves Emitted by PIFA Antennas on the Human Head.- Fractal Dimension Box-counting Algorithm Optimization Through Integral Images.- Exploring Two Deep Learning Based Solutions for Improving Endoscopy Artifact Detection.- HCC Recognition within B-mode and CEUS Images using Traditional and Deep Learning Techniques.- Modified Adam to Update Control Parameters of Crow Search Algorithm in Transformation Technique Based Dementia MRI Image Classification.- Automatic Detection of Diabetic Retinopathy using Image Processing Techniques.