Biomedical Signal Analysis: Contemporary Methods and Applications (Hardcover)

Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.

After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling.

Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.

生物醫學信號分析已成為生物學和醫學中最重要的視覺化和解釋方法之一。近年來，許多新的和強大的儀器已被開發出來，用於檢測、存儲、傳輸、分析和顯示圖像，使科學家和醫生能夠獲得定量測量結果，以支持科學假設和醫學診斷。本書概述了一系列經過驗證和新的方法，討論了生物醫學信號分析和解釋的理論和實踐方面。

在介紹該主題和調查幾種處理和成像技術之後，本書描述了一系列方法，包括連續和離散傅立葉變換、獨立成分分析（ICA）、相依成分分析、神經網絡和模糊邏輯方法。然後，本書討論了這些理論工具在日常生物信號處理中的實際問題的應用，包括功能性磁共振成像（fMRI）中的探索性數據分析和低頻連接性分析、乳房磁共振成像中的病變檢測、動態腦對比增強灌注磁共振成像、皮膚病變分類以及顯微切片圖像處理和自動標記。

《生物醫學信號分析》可用作教材或專業參考書。第一部分是關於方法的自成體系的教材，包括練習和其他學習輔助材料，適用於高年級本科生或研究生。系統生物學、基因組信號處理和計算機輔助放射學的研究人員或研究生將會發現第一部分和第二部分（應用）都是一本有價值的手冊。