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Computational And Mathematical Methods In Cardiovascular Physiology (Hardcover): Liang Zhong, Ru San Tan, Eddie Yin-Kwee Ng,... Computational And Mathematical Methods In Cardiovascular Physiology (Hardcover)
Liang Zhong, Ru San Tan, Eddie Yin-Kwee Ng, Dhanjoo N. Ghista
R3,736 Discovery Miles 37 360 Ships in 10 - 15 working days

Cardiovascular diseases (CVD) including heart diseases, peripheral vascular disease and heart failure, account for one-third of deaths throughout the world. CVD risk factors include systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and diabetic status. Clinical trials have demonstrated that when modifiable risk factors are treated and corrected, the chances of CVD occurring can be reduced. This illustrates the importance of this book's elaborate coverage of cardiovascular physiology by the application of mathematical and computational methods.This book has literally transformed Cardiovascular Physiology into a STEM discipline, involving (i) quantitative formulations of heart anatomy and physiology, (ii) technologies for imaging the heart and blood vessels, (iii) coronary stenosis hemodynamics measure by means of fractional flow reserve and intervention by grafting and stenting, (iv) fluid mechanics and computational analysis of blood flow in the heart, aorta and coronary arteries, and (v) design of heart valves, percutaneous valve stents, and ventricular assist devices.So how is this mathematically and computationally configured landscape going to impact cardiology and even cardiac surgery? We are now entering a new era of mathematical formulations of anatomy and physiology, leading to technological formulations of medical and surgical procedures towards more precise medicine and surgery. This will entail reformatting of (i) the medical MD curriculum and courses, so as to educate and train a new generation of physicians who are conversant with medical technologies for applying into clinical care, as well as (ii) structuring of MD-PhD (Computational Medicine and Surgery) Program, to train competent medical and surgical specialists in precision medical care and patient-specific surgical care.This book provides a gateway for this new emerging scenario of (i) science and engineering based medical educational curriculum, and (ii) technologically oriented medical and surgical procedures. As such, this book can be usefully employed as a textbook for courses in (i) cardiovascular physiology in both the schools of engineering and medicine of universities, as well as (ii) cardiovascular engineering in biomedical engineering departments worldwide.

Bio-inspired Surfaces And Applications (Hardcover): Yuehao Luo, Eddie Yin-Kwee Ng Bio-inspired Surfaces And Applications (Hardcover)
Yuehao Luo, Eddie Yin-Kwee Ng
R5,416 Discovery Miles 54 160 Ships in 10 - 15 working days

Through millions of years' natural selection, sharkskin has developed into a kind of drag-reducing surface. This book shows how to investigate, model, fabricate and apply sharkskin's unique surface properties, creating a flexible platform for surface and materials engineers and scientists to readily adopt or adapt for their own bio-inspired materials.Rather than inundate the reader with too many examples of materials inspired by nature, sharkskin has been chosen as the center-piece to illustrate accurate 3D digital modeling of surfaces, complete numerical simulation of micro flow field, different fabrication methods, and application to natural gas pipelining. This is a must-read for any researcher or engineer involved in bio-inspired surfaces and materials studies.

Computational Analysis Of The Human Eye With Applications (Hardcover): Sumeet Dua, Rajendra Acharya U., Eddie Yin-Kwee Ng Computational Analysis Of The Human Eye With Applications (Hardcover)
Sumeet Dua, Rajendra Acharya U., Eddie Yin-Kwee Ng
R4,249 Discovery Miles 42 490 Ships in 10 - 15 working days

Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. Interpreting this raw data is a challenging task, and nowhere is this more evident than in the field of opthalmology. The sheer speed at which data on cataracts, diabetic retinopathy, glaucoma and other eye disorders are collected, makes it impossible for the human observer to directly monitor subtle, yet critical details.This book is a novel and well-timed endeavor to present, in an amalgamated format, computational image modeling methods as applied to various extrinsic scientific problems in ophthalmology. It is self-contained and presents a highly comprehensive array of image modeling algorithms and methodologies relevant to ophthalmologic problems. The book is the first of its kind, bringing eye imaging and multi-dimensional hyperspectral imaging and data fusion of the human eye, into focus.The editors are at the top of their fields and bring a strong multidisciplinary synergy to this visionary volume. Their "inverted-pyramid" approach in presenting the content, and focus on core applications, will appeal to students and practitioners in the field.

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