Advanced Computational Approaches to Biomedical Engineering
暫譯: 生物醫學工程的進階計算方法

  • 出版商: Springer
  • 出版日期: 2014-02-05
  • 售價: $2,320
  • 貴賓價: 9.5$2,204
  • 語言: 英文
  • 頁數: 217
  • 裝訂: Hardcover
  • ISBN: 3642415385
  • ISBN-13: 9783642415388
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

近幾十年來,生物醫學工程迅速成長,這得益於醫學影像、身體生理建模及感測系統的進步,加上計算和網路技術、分析方法、視覺化和虛擬實境、人機互動及自動化的巨大發展。生物醫學工程涉及將工程原則應用於醫學和生物科學,涵蓋多個主題,包括生物醫學、醫學影像、身體生理建模和感測、儀器、即時系統、自動化與控制、信號處理、影像重建、處理與分析、模式識別以及生物力學。它在診斷和治療複雜醫療狀況方面具有巨大的潛力,特別是因為我們現在可以針對直接的臨床應用,生物醫學工程的研究與開發正在幫助我們開發創新的植入物和義肢,創造新的醫學影像技術,並改善疾病的檢測、預防和治療的工具與技術。

本書的編輯作者提供了各自領域進展的代表性調查,特別專注於複雜生物醫學數據分析的技術。本書將成為計算機科學、生物醫學工程以及計算和分子生物學的研究生、研究人員和業界實踐者的重要參考資料。

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