Technological Advancements in Biomedicine for Healthcare Applications

Technological Advancements in Biomedicine for Healthcare Applications

Release Date: October, 2012|Copyright: © 2013 |Pages: 382
DOI: 10.4018/978-1-4666-2196-1
ISBN13: 9781466621961|ISBN10: 1466621966|EISBN13: 9781466621978
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Description & Coverage
Description:

Technology continues to play a major role in all aspects of society, particularly healthcare. Advancements such as biomedical image processing, technology in rehabilitation, and biomedical robotics for healthcare have aided in significant strides in the biomedical engineering research field.

Technological Advancements in Biomedicine for Healthcare Applications presents an overview of biomedical technologies and its relationship with healthcare applications. This reference source is essential for researchers and practitioners aiming to learn more about biomedical engineering and its related fields.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Biomedical Image Processing
  • Biomedical Robotics for Healthcare
  • Brain-Machine Interference
  • Mechatronics
  • Neurosurgery
  • Technology in Rehabilitation
Reviews & Statements

Wu (natural science and technology, Okayama U., Japan) presents 29 chapters from a group of Asian engineers, physicians, health professionals, and neuroscience, informatics, and computer scientists who examine technological advances in biomedical engineering for healthcare. They address biomechatronics, biomedical image processing, technology in rehabilitation, biomedical robotics, sustainable materials and techniques, information technology, complex bioinformatics, systems biology, brain-machine interfaces and rehabilitation, and communication technology. This includes a motion analysis method for upper limbs, a non-invasive optical blood glucose measurement technique using near-infrared radiation, image fusion of multimodal cardiac images, functional electrical stimulation for the restoration and rehabilitation of motor function, medical manipulators for surgical applications, a walking assistance robot, a wearable power assist robot driven with pneumatic rubber artificial muscles, automated analysis of nursery school observations, a sleep monitoring system, quantitative modeling of neuronal polarization, and a web-based image database system.

– Book News Inc. Portland, OR
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Editor/Author Biographies
Jinglong Wu was born in Jiutai, China, on August 8, 1958. He received a B.S. from Jilin Vocational Teachers College, China, and M.S. from Kyoto University, Japan, both in electrical engineering, in 1984 and 1991, respectively. He received his Ph.D. in electric engineering from Kyoto University, Japan, in 1994. He was an assistant professor at Ritsumeikan University, Japan, from 1994 to 1997, a lecturer in the Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University, from 1997 to 1999. From 1999, he was an associate professor, and from 2002, he was a full professor in the Department of Intelligent Mechanical Systems, Faculty of Engineering, Kagawa University, Japan. Since 2008, he has been Professor and Laboratory Head, Biomedical Engineering Laboratory, Graduate School of Natural Science and Technology, Okayama University, Japan. His current research interests are biomedical engineering, cognitive neuroscience, ergonomics and human science. Dr. Wu received the Best Paper Award of the IEEE Joint International Conference on Neural Network in 1993 and the SICE Best Paper Award in 2000. In 2003, he received the Gennai Grand Prize, Ozaki Foundation, Japan.
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