Advanced Computational Approaches to Biomedical Engineering
Saha, Punam K., Maulik, Ujjwal, Basu, Subhadip (Eds.)
2014, XII, 217 p. 100 illus., 76 illus. in color.
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Reference for graduate students, researchers and industrial practitioners in computer science, biomedical engineering and computational and molecular biology
Focuses on intelligent techniques for analyzing complex data
International team of contributing authors are experts in biomedical research and statistical analysis
There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases.
The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.
Content Level »Research
Keywords »Biomechanics - Biomedical engineering - Biomedicine - Drug design - Mathematical modeling - Medical imaging - Stress analysis