SpringerLink Springer Engineering eBooks 2017 English+International

Preface; Organization; Contents; Plenary Lectures I -- Session I: BIOMEDICAL SIGNAL PROCESSING 1; 1 Using machine learning tool in classification of breast cancer; Abstract.; Keyword; 1 Introduction; 2 Methods; 2.1 Wisconsin Breast Cancer Database (WBCD; 2.2 Design of Artificial Neural Network for BreastCancer Classification; 3 Results and discussion; 3.1 Predictive ability of neural network architecturewith different number of hidden layers; 4 c onclusion.

2 MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis -- an architectural overviewAbstract.; Keywords:; 1 Introduction; 2 Processing frameworks; 2.1 Common signal features framework; 2.2 Data handling framework; 2.3 Specialized biomedical time series analysis frameworks; 4 Signal visualization; 3 Database; 5 Discussion and conclusion; Conflict of Interest; Acknowledgements; References.

3 Short-term variations of parameters of heart rate variability in subjects with mild hypertension and normotensive subjects during preoperative periodAbstract; Introduction; Methods and subjects; Keywords; Results; Discussion; Conclusion; 4 Cardiac pulse waves modeling and analysis in laser Doppler perfusion signals of the skin microcirculation; Abstract.; 1 Introduction; 2 Materials and methods; 2.1 Dataset; 2.2 Experimental setting; 2.3 Gaussian-based cardiac pulse waves modeling; 3 Results; 4 Conclusion; Acknowledgement; References.

5 Discrimination of Psychotic Symptoms from Controls Through Data Mining Methods Based on Emotional Principle ComponentsAbstract.; Keywords:; 1 Introduction; 2 Methods; 2.1 Data Collection; 2.2 Feature Extraction; 2.3 Data Mining Methods for Emotion Recognition; 2.4 Performance Criteria; 3 Results; 4 Discussion and Conclusion; Acknowledgements; References; 6 Differences in temporal gait parameters between multiple sclerosis and healthy people; Abstract.; Keywords:; 1 Introduction; 2 Methods; 3 Results; 4 Summary and conclusions; References.

7 An Adaptive Scheme for X-ray Medical Image Denoising using Artificial Neural Networks and Additive White Gaussian Noise Level Estimation in SVD DomainAbstract.; Keywords:; 1 Introduction; 2 Singular r Value Dec composition n and Noise Level E stimation; 3 O verview of M Multilayer P Perceptron; 4 Adaptive Image Denoising; 5 Results and Discussion; 6 Conclusion; References; 8 Using Neural Networks and Ensemble Techniques based on Decision Trees for Skin Permeability Prediction; Abstract.; Keywords:; 1 Introduction; 2 Methods.

This volume presents the proceedings of the International Conference on Medical and Biological Engineering held from 16 to 18 March 2017 in Sarajevo, Bosnia and Herzegovina. Focusing on the theme of 'Pursuing innovation. Shaping the future', it highlights the latest advancements in Biomedical Engineering and also presents the latest findings, innovative solutions and emerging challenges in this field. Topics include: - Biomedical Signal Processing - Biomedical Imaging and Image Processing - Biosensors and Bioinstrumentation - Bio-Micro/Nano Technologies - Biomaterials - Biomechanics, Robotics and Minimally Invasive Surgery - Cardiovascular, Respiratory and Endocrine Systems Engineering - Neural and Rehabilitation Engineering - Molecular, Cellular and Tissue Engineering - Bioinformatics and Computational Biology - Clinical Engineering and Health Technology Assessment - Health Informatics, E-Health and Telemedicine - Biomedical Engineering Education - Pharmaceutical Engineering.