商品描述
Noise, often viewed as a disturbance in biomedical signal analysis, plays a crucial and informative role in the dynamics of complex physiological systems, particularly in neurocardiovascular and neural networks. Recent developments underscore noise, or stochasticity, as fundamental to physiological processes, from information transfer in the nervous system - across scales from neurons to the brain - to cardiovascular, respiratory, motor, and sensory functions. This book offers readers a comprehensive perspective on physiological noise, redefining it not as an artifact, as traditionally viewed, but as an inherent component of physiological systems. It explores noise phenomenology within the neuro-cardiovascular system across multiple scales and presents the primary mathematical methods for estimating intrinsic noise. Building on foundational approaches, the book introduces recent noise estimation techniques and details the validation of these stochastic component estimates using synthetic data and their applications to real physiological systems. The methods ultimately position noise as a promising biomarker for differentiating between various physio-pathologic states. This book is designed for undergraduate and master's students, as well as PhD students and researchers in biomedical engineering and physiology. Its broad appeal stems from the subject's multidisciplinary nature and the structured progression of concepts, which helps readers build a strong foundation for understanding the key methods presented. Readers will be guided through a rigorous, formal exploration of essential tools, making analyses and results accessible. Illustrative figures and informal explanations of core concepts are included to enhance intuitive understanding.
商品描述(中文翻譯)
噪音，通常被視為生物醫學信號分析中的干擾，實際上在複雜生理系統的動態中扮演著關鍵且具資訊性的角色，特別是在神經心血管系統和神經網絡中。最近的發展強調噪音或隨機性是生理過程的基礎，從神經系統中的信息傳遞——從神經元到大腦的各個層面——到心血管、呼吸、運動和感官功能。
本書為讀者提供了對生理噪音的全面視角，重新定義噪音，不再視其為傳統上所認為的人工產物，而是生理系統的固有組成部分。它探討了神經心血管系統中噪音現象學的多個層面，並介紹了估算內在噪音的主要數學方法。
在基礎方法的基礎上，本書介紹了最近的噪音估算技術，並詳細說明了使用合成數據驗證這些隨機成分估算的過程及其在真實生理系統中的應用。這些方法最終將噪音定位為區分各種生理病理狀態的有前景的生物標記。
本書旨在為本科生、碩士生以及生物醫學工程和生理學的博士生和研究人員提供指導。其廣泛的吸引力源於該主題的多學科特性和概念的結構性進展，幫助讀者建立理解所呈現的關鍵方法的堅實基礎。讀者將通過嚴謹、正式的探索來了解基本工具，使分析和結果變得易於理解。書中還包含插圖和對核心概念的非正式解釋，以增強直觀理解。
作者簡介
Andrea Scarciglia obtained his bacherlor's (2016) and master's degree (2020) in Mathematics. He is currently a post-doctoral PhD fellow at the Bioengineering and Robotics Research Centre "Enrico Piaggio", University of Pisa. His research interests are in the fields of nonlinear dynamical system theory, Information Theory, Noise and Complexity quantification in physiological time series. Claudio Bonanno is an associate professor of mathematical physics at the Department of Mathematics of the University of Pisa. He has obtained the PhD in Mathematics at the University of Pisa in 2003, and held positions at the Ecole Polytechnique (Paris, France) and the INdAM (Italy). His research interests focus on infinite ergodic theory and its applications to continued fraction algorithms, and on applications of ergodic methods to the study of time series. Since November 2020, he has been in charge of the group "DinAmicI" inside the Italian Mathematical Union. Gaetano Valenza is currently Associate Professor of Bioengineering at the University of Pisa, Pisa, Italy, and head of the Neuro-Cardiovascular Intelligence Lab. His research interests include statistical and nonlinear biomedical signal and image processing, cardiovascular and neural modeling, physiologically interpretable artificial intelligence systems, and wearable systems for physiological monitoring. Applications of his research include the assessment of autonomic nervous system activity on cardiovascular control, brain-heart interactions, affective computing, assessment of mood and mental/neurological disorders. He is an author of more than 300 international scientific contributions in these fields published in peer-reviewed international journals, conference proceedings, books and book chapters.
作者簡介(中文翻譯)
安德烈亞·斯卡基利亞（Andrea Scarciglia）於2016年獲得數學學士學位，並於2020年獲得碩士學位。他目前是比薩大學恩里科·皮亞喬生物工程與機器人研究中心的博士後研究員。他的研究興趣包括非線性動態系統理論、資訊理論、噪聲及生理時間序列中的複雜性量化。
克勞迪奧·博南諾（Claudio Bonanno）是比薩大學數學系的數學物理副教授。他於2003年在比薩大學獲得數學博士學位，並曾在法國巴黎的高等工藝學院（Ecole Polytechnique）和意大利的INdAM擔任職位。他的研究興趣集中在無窮遍歷理論及其在連分數算法中的應用，以及遍歷方法在時間序列研究中的應用。自2020年11月以來，他負責意大利數學聯盟內的“DinAmicI”小組。
蓋塔諾·瓦倫扎（Gaetano Valenza）目前是比薩大學的生物工程副教授，並擔任神經心血管智能實驗室的負責人。他的研究興趣包括統計和非線性生物醫學信號與影像處理、心血管和神經建模、生理可解釋的人工智慧系統，以及用於生理監測的可穿戴系統。他的研究應用包括評估自律神經系統在心血管控制中的活動、腦心互動、情感計算、情緒及心理/神經疾病的評估。他在這些領域發表了超過300篇國際科學貢獻，這些成果已在同行評審的國際期刊、會議論文集、書籍和書籍章節中發表。
