Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing
暫譯: 生物醫學工程中的信號與系統：生理系統建模與信號處理
Devasahayam, Suresh R.
- 出版商: Springer
- 出版日期: 2019-04-09
- 售價: $5,260
- 貴賓價: 9.5 折 $4,997
- 語言: 英文
- 頁數: 468
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811335303
- ISBN-13: 9789811335303
海外代購書籍(需單獨結帳)
商品描述
Physiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities.
This book shows that systems modeling can be used to develop simulations of physiological systems, which use formal relations between the underlying processes and the observed measurements. The inverse of such relations suggest signal processing tools that can be applied to interpret experimental data. Both signal processing and systems modeling are invaluable in the study of human physiology. Discussing signal processing techniques ranging from filtering and spectrum analysis to wavelet analysis, the book uses graphs and analogies to supplement the mathematics and make the book more accessible to physiologists and more interesting to engineers.
Physiological systems modeling helps in both gaining insight and generating methods of analysis. This book shows how numerical computation with graphical display, haptics and multimedia can be used to simulate physiological systems. In this third edition the simulations are more closely related to clinical examination and experimental physiology than in previous editions.
Detailed models of nerve and muscle at the cellular and systemic levels, and simplified models of cardiovascular blood flow provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. The book features expanded problem sets and a link to extra downloadable material containing simulation programs that are solutions to the theory developed in the text.
商品描述(中文翻譯)
生理學是一組維持穩態的過程，而生理測量則是觀察這些過程的一種手段。系統理論和信號處理提供了研究過程和測量量的正式工具。
本書顯示系統建模可以用來開發生理系統的模擬，這些模擬利用基礎過程與觀察測量之間的正式關係。這些關係的反向提示了可以應用於解釋實驗數據的信號處理工具。信號處理和系統建模在研究人類生理學中都是不可或缺的。本書討論了從濾波和頻譜分析到小波分析的信號處理技術，並使用圖表和類比來補充數學內容，使本書對生理學家更易於理解，對工程師更具趣味性。
生理系統建模有助於獲得洞察力並生成分析方法。本書展示了如何使用數值計算、圖形顯示、觸覺技術和多媒體來模擬生理系統。在這第三版中，模擬與臨床檢查和實驗生理學的關聯比之前的版本更為緊密。
詳細的神經和肌肉模型在細胞和系統層面，以及簡化的心血管血流模型提供了數學方法和計算機模擬的範例。其中幾個模型足夠複雜，對於理解現實世界的問題，如神經肌肉疾病，具有價值。本書還擴展了問題集，並提供了額外可下載材料的連結，該材料包含與文本中發展的理論相對應的模擬程序解決方案。
作者簡介
Suresh Devasahayam has taught students of science, technology, engineering, and medicine for more than 25 years, first at the Indian Institute of Technology, Bombay, for about 12 years and then at the Christian Medical College, Vellore.
In teaching such a variety of students, it has been important to span a wide range of language skills - from formal mathematical language for students of the physical sciences to natural language for students of the biological sciences. These two extremes of communication in science also represent the difference between theoretical argument from first principles and empirical knowledge; therefore, his research and teaching has included both theoretical analysis and physiological experiments. He has greatly enjoyed the extension of language by the use of dynamic graphs and animations through computer simulations.
His formal training includes a Baccalaureate in Electronics and Communications Engineering from the College of Engineering, Guindy, followed by Master's and Doctoral degrees in Bioengineering from the University of Illinois at Chicago. His research is in the areas of physiological measurement, medical instrumentation, signal processing, systems modeling, and neurorehabilitation.
作者簡介(中文翻譯)
Suresh Devasahayam 在科學、技術、工程和醫學領域教學超過25年，最初在印度孟買的印度理工學院任教約12年，之後轉至維洛爾的基督醫學院。
在教授這樣多樣化的學生時，涵蓋廣泛的語言技能變得非常重要——從物理科學學生所需的正式數學語言，到生物科學學生所需的自然語言。這兩種科學交流的極端也代表了從基本原則進行理論論證與經驗知識之間的差異；因此，他的研究和教學包括理論分析和生理實驗。他非常享受通過計算機模擬使用動態圖形和動畫來擴展語言的過程。
他的正式訓練包括在吉因迪工程學院獲得電子與通信工程的學士學位，隨後在伊利諾伊大學芝加哥分校獲得生物工程的碩士和博士學位。他的研究領域包括生理測量、醫療儀器、信號處理、系統建模和神經康復。
