Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications (進階腦電圖分析方法：基礎、獲取與應用)
Naik, Ganesh, Santos, Wellington Pinheiro Dos, Gargiulo, Gaetano
相關主題
商品描述
Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience.
This book:
- Includes a comprehensive review on biomedical signals nature and acquisition aspects.
- Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas.
- Provides a machine learning update to a classical biomedical signal processing approach.
- Explains deep learning and application to biomedical signal processing and analysis.
- Explores relevant biomedical engineering and neuroscience state-of-the-art applications.
This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.
商品描述(中文翻譯)
《進階腦電圖分析方法：基礎、獲取與應用》介紹了腦電圖（EEG）信號在神經科學中的理論基礎和應用，涵蓋信號分析、處理、信號獲取、表示以及使用非線性方法和機器學習進行EEG信號分析的應用。書中解釋了神經生理學原理、線性信號處理、計算智能以及信號的本質，包括機器學習。應用範疇包括電腦輔助診斷、腦機介面、康復工程和應用神經科學。
本書的特色包括：
- 包含對生物醫學信號特性和獲取方面的全面回顧。
- 專注於神經科學/心血管/肌肉相關生物醫學領域的選定應用。
- 提供對經典生物醫學信號處理方法的機器學習更新。
- 解釋深度學習及其在生物醫學信號處理和分析中的應用。
- 探索相關的生物醫學工程和神經科學的最新應用。
本書適合從事生物醫學信號處理、電機工程、神經科學和計算機科學的研究人員和研究生。
作者簡介
Ganesh Naik, ranked in the top 2% of researchers in Biomedical Engineering (Stanford University Research), is a leading expert in biomedical engineering and signal processing. He received his Ph.D. degree in Electronics Engineering, specializing in biomedical engineering and signal processing, from Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Australia, in December 2009. Currently, he is an academic and research theme co-lead at Flinders University, Adelaide, Australia. He held a Postdoctoral Research Fellow position at MARCS Institute, Western Sydney University (WSU) between July 2017 to July 2020 and worked on a Cooperative Research Centres (CRC) project for sleep. During his tenure at WSU, he has developed several novel algorithms for wearables related to sleep projects. Before that, he held a Chancellor's Post-Doctoral Research Fellowship position in the Centre for Health Technologies, University of Technology Sydney (UTS), between February 2013 and June 2017. As a mid-career researcher, he has edited 12 books and authored around 150 papers in peer-reviewed journals and conferences. Ganesh serves as an associate editor for IEEE Access, Frontiers in Neurorobotics, and two Springer journals (Circuits, Systems, and Signal Processing and Australasian Physical & Engineering Sciences in Medicine). He is a Baden-Württemberg Scholarship recipient from Berufsakademie, Stuttgart, Germany (2006-2007). In 2010, he was awarded an ISSI overseas fellowship from Skilled Institute Victoria, Australia.
Wellington Pinheiro dos Santos holds a degree in electrical and electronic engineering (2001) and a master's degree in electrical engineering (2003) from the Federal University of Pernambuco, and a PhD in Electrical Engineering from the Federal University of Campina Grande (2009). He is currently an associate professor (exclusive dedication) at the Department of Biomedical Engineering at the Center for Technology and Geosciences / School of Engineering of Pernambuco, Federal University of Pernambuco, working in the undergraduate program in Biomedical Engineering and the Graduate Program in Biomedical Engineering. He is also a member of the graduate program in computer engineering at Escola Politécnica de Pernambuco, Universidade de Pernambuco, since 2009. He has experience in the field of computer science, with an emphasis on graphics processing, working mainly in the following areas: topics: digital image processing, pattern recognition, computer vision, evolutionary computing, numerical optimization methods, computational intelligence, image formation techniques, virtual reality, game design and applications of computing and engineering in medicine and biology. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), the Brazilian Society of Computational Intelligence (SBIC, ex-SBRN), and the International Federation of Medical and Biological Engineering (IFMBE).
Gaetano Gargiulo received his Ph.D. in biomedical engineering from the University of Bologna, Bologna, Italy, in 2010. Currently, he is a research professor at the School of Engineering, Design and Built Environment, Western Sydney University. He also is a Research Affiliate at "Federico II" University of Naples, Naples, Italy. His research interests include medical instrumentation/devices, telemedicine, human-computer interfaces, and bio-inspired systems. He is a coauthor of more than 100 papers in these research areas and has edited four scholarly books in applied biomedical engineering; he is an inventor on 10 patents and contributed to spin out four commercial companies all in the field of biomedical engineering.
作者簡介(中文翻譯)
Ganesh Naik，根據史丹佛大學的研究，排名生物醫學工程領域前2%的研究人員，是生物醫學工程和信號處理的領先專家。他於2009年12月在澳大利亞墨爾本皇家墨爾本理工大學（RMIT）獲得電子工程博士學位，專攻生物醫學工程和信號處理。目前，他是澳大利亞阿德萊德弗林德斯大學的學術及研究主題共同負責人。他曾於2017年7月至2020年7月在西悉尼大學（WSU）MARCS研究所擔任博士後研究員，並參與了一個關於睡眠的合作研究中心（CRC）項目。在WSU任職期間，他為與睡眠項目相關的可穿戴設備開發了幾種新穎的算法。在此之前，他於2013年2月至2017年6月在悉尼科技大學（UTS）健康技術中心擔任校長博士後研究獎學金職位。作為一名中期職業研究人員，他編輯了12本書籍，並在同行評審的期刊和會議上發表了約150篇論文。Ganesh擔任《IEEE Access》、《Frontiers in Neurorobotics》及兩本Springer期刊（《Circuits, Systems, and Signal Processing》和《Australasian Physical & Engineering Sciences in Medicine》）的副編輯。他是德國斯圖加特職業學院的巴登-符騰堡獎學金獲得者（2006-2007）。2010年，他獲得了來自澳大利亞維多利亞州技術學院的ISSI海外獎學金。
Wellington Pinheiro dos Santos擁有電氣與電子工程學士學位（2001年）及電氣工程碩士學位（2003年），均來自於佩南布哥聯邦大學，並於2009年獲得佩南布哥聯邦大學的電氣工程博士學位。他目前是佩南布哥聯邦大學技術與地球科學中心/工程學院生物醫學工程系的專任副教授，參與生物醫學工程本科及研究生課程的教學。自2009年以來，他也是佩南布哥大學理工學院計算機工程研究生課程的成員。他在計算機科學領域擁有經驗，專注於圖形處理，主要研究領域包括：數位影像處理、模式識別、計算機視覺、進化計算、數值優化方法、計算智能、影像形成技術、虛擬實境、遊戲設計以及計算與工程在醫學和生物學中的應用。他是巴西生物醫學工程學會（SBEB）、巴西計算智能學會（SBIC，前身為SBRN）及國際醫學與生物工程聯合會（IFMBE）的成員。
Gaetano Gargiulo於2010年在意大利博洛尼亞大學獲得生物醫學工程博士學位。目前，他是西悉尼大學工程、設計與建築環境學院的研究教授，同時也是意大利那不勒斯的“Federico II”大學的研究附屬人員。他的研究興趣包括醫療儀器/設備、遠程醫療、人機介面及生物啟發系統。他在這些研究領域共同撰寫了超過100篇論文，並編輯了四本應用生物醫學工程的學術書籍；他擁有10項專利的發明權，並參與創立了四家商業公司，均在生物醫學工程領域內。
