Biomedical Engineering and Computational Intelligence Proceedings of
This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood gluc
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João Manuel R. S. Tavares Nilanjan Dey Amit Joshi Editors
Biomedical Engineering and Computational Intelligence Proceedings of The World Thematic Conference—Biomedical Engineering and Computational Intelligence, BIOCOM 2018
Lecture Notes in Computational Vision and Biomechanics Volume 32
Series Editors João Manuel R. S. Tavares , Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal Renato Natal Jorge, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
Research related to the analysis of living structures (Biomechanics) has been carried out extensively in several distinct areas of science, such as, for example, mathematics, mechanical, physics, informatics, medicine and sports. However, for its successful achievement, numerous research topics should be considered, such as image processing and analysis, geometric and numerical modelling, biomechanics, experimental analysis, mechanobiology and Enhanced visualization, and their application on real cases must be developed and more investigation is needed. Additionally, enhanced hardware solutions and less invasive devices are demanded. On the other hand, Image Analysis (Computational Vision) aims to extract a high level of information from static images or dynamical image sequences. An example of applications involving Image Analysis can be found in the study of the motion of structures from image sequences, shape reconstruction from images and medical diagnosis. As a multidisciplinary area, Computational Vision considers techniques and methods from other disciplines, like from Artificial Intelligence, Signal Processing, mathematics, physics and informatics. Despite the work that has been done in this area, more robust and efficient methods of Computational Imaging are still demanded in many application domains, such as in medicine, and their validation in real scenarios needs to be examined urgently. Recently, these two branches of science have been increasingly seen as being strongly connected and related, but no book series or journal has contemplated this increasingly strong association. Hence, the main goal of this book series in Computational Vision and Biomechanics (LNCV&B) consists in the provision of a comprehensive forum for discussion on the current state-of-the-art in these fields by emphasizing their connection. The book series covers (but is not limited to):
• Applications of Computational Vision and • • • • • • • • • • • • • • •
Biomechanics Biometrics and Biomedical Pattern Analysis Cellular Imaging and Cellular Mechanics Clinical Biomechanics Computational Bioimaging and Visualization Computational Biology in Biomedical Imaging Development of Biomechanical Devices Device and Technique Development for Biomedical Imaging Experimental Biomechanics Gait & Posture Mechanics Grid and High Performance Computing on Computational Vision and Biomechanics Image Processing and Analysis Image processing and visualization in Biofluids Image Understanding Material Models Mechanobiology
• • • • • • •
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