Artificial Intelligence Enabled Signal Processing Based Models for Neural Information Processing
暫譯: 基於人工智慧的信號處理模型於神經資訊處理的應用

本書提供有關各種信號處理和基於人工智慧的方法在腦電圖數據分析中的應用細節。它將幫助讀者理解腦電圖信號在不同神經信息處理和認知神經科學應用中的使用。該書：

- 涵蓋與信號處理和基於機器學習的技術在腦電圖信號分析和分類中的應用相關的主題
- 提供自動化方法以檢測神經疾病及其他應用，如認知任務識別和腦機介面
- 突出最新的機器學習和深度學習方法在神經信號處理中的應用
- 討論應用於腦電圖數據分析的信號處理和機器學習算法的數學細節
- 展示如何利用信號處理和基於機器學習的技術從腦電圖信號中檢測癡呆症

本書主要為電機工程、電子與通信工程以及生醫工程領域的高年級本科生、研究生和研究人員所撰寫。

Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009; and the M.Tech degree in Biomedical Engineering from the National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2013; and a Ph.D. degree in machine learning for biomedical signal processing from the Indian Institute of Technology (IIT) Guwahati, Guwahati, India in 2017. He worked as an Assistant Professor at the Faculty of Engineering and Technology (FET), Siksha `O' Anusandhan Deemed to be University from March 2017 to June 2018. Since July 2018, he has worked as an Assistant Professor in the Department of Electrical and Electronics Engineering (EEE), Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. His research interests are machine learning, deep learning, biomedical signal processing, sensor data processing, medical image processing, and the Internet of Things (IoT) for healthcare. He has published research papers in reputed international journals and conferences. He has served as a reviewer for more than 15 scientific journals and served as a technical program committee (TPC) member in various national and international conferences. He is an associate editor for IEEE Access and Frontier in Physiology journals.

Ram Bilas Pachori received a B.E. degree with honours in electronics and communication engineering from Rajiv Gandhi Technological University, Bhopal, India, in 2001, and M.Tech. and Ph.D. degrees in electrical engineering from IIT Kanpur, India, in 2003 and 2008, respectively. Before joining the IIT Indore, India, faculty, he was a postdoctoral fellow at the Charles Delaunay Institute, University of Technology of Troyes, France (2007-2008) and an Assistant Professor at the Communication Research Center, International Institute of Information Technology, Hyderabad, India (2008-2009). He was an assistant professor (2009-2013) and an associate professor (2013-2017) at the Department of Electrical Engineering, IIT Indore, where he has now been a Professor since 2017. He is also associated with the Center for Advanced Electronics, IIT Indore. He was a visiting professor at the Department of Computer Engineering, Modeling, Electronics and Systems Engineering, University of Calabria, Rende, Italy, in July 2023; Faculty of Information & Communication Technology, University of Malta, Malta, from June 2023 to July 2023; Neural Dynamics of Visual Cognition Lab, Free University of Berlin, Germany, from July 2022 to September 2022; School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Malaysia, from 2018 to 2019. Previously, he was a Visiting Scholar at the Intelligent Systems Research Center, Ulster University, Londonderry, UK, in December 2014. His research interests include signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interface, machine learning, and artificial intelligence and the Internet of Things in health care. He is an Associate Editor of Electronics Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Biomedical Signal Processing and Control, and an Editor of IETE Technical Review. He is a Fellow of IETE, IEI, and IET. He has 307 publications: journal articles (189), conference papers (82), books (10), and book chapters (26). He has also eight patents, including one Australian patent (granted) and seven Indian patents (published). His publications have been cited approximately 15,000 times with an h-index of 66 according to Google Scholar.

**Rajesh Kumar Tripathy** 於2009年獲得印度奧里薇爾邦比朱·帕特奈克科技大學（BPUT）電子與電信工程的學士學位，於2013年獲得印度魯爾凱拉國立科技學院（NIT Rourkela）生物醫學工程的碩士學位，並於2017年獲得印度印度理工學院（IIT）古瓦哈提的生物醫學信號處理機器學習博士學位。他曾於2017年3月至2018年6月擔任西克沙『O』安努桑丹大學工程與技術學院（FET）的助理教授。自2018年7月以來，他在比爾拉科技與科學學院（BITS）海得拉巴校區的電氣與電子工程系（EEE）擔任助理教授。他的研究興趣包括機器學習、深度學習、生物醫學信號處理、傳感器數據處理、醫學影像處理以及用於醫療保健的物聯網（IoT）。他在知名國際期刊和會議上發表了多篇研究論文，並擔任超過15本科學期刊的審稿人，還在各種國內外會議中擔任技術程序委員會（TPC）成員。他是《IEEE Access》和《Frontier in Physiology》期刊的副編輯。

**Ram Bilas Pachori** 於2001年獲得印度博帕爾拉吉夫·甘地科技大學電子與通信工程的榮譽學士學位，並於2003年和2008年分別獲得印度IIT坎普爾電氣工程的碩士和博士學位。在加入印度IIT印多爾的教職之前，他曾在法國特魯瓦科技大學查爾斯·德拉諾研究所擔任博士後研究員（2007-2008），以及在印度海得拉巴國際資訊科技學院的通信研究中心擔任助理教授（2008-2009）。他曾在IIT印多爾的電氣工程系擔任助理教授（2009-2013）和副教授（2013-2017），自2017年以來擔任教授。他還與IIT印多爾的先進電子中心有關聯。他於2023年7月在意大利卡拉布里亞大學計算機工程、建模、電子與系統工程系擔任訪問教授；於2023年6月至2023年7月在馬爾他大學資訊與通信科技學院；於2022年7月至2022年9月在德國柏林自由大學視覺認知神經動力學實驗室；以及於2018年至2019年在馬來西亞泰勒大學健康與醫學科學學院的醫學院擔任訪問教授。此前，他於2014年12月在英國倫敦德里阿爾斯特大學智能系統研究中心擔任訪問學者。他的研究興趣包括信號與影像處理、生物醫學信號處理、非穩態信號處理、語音信號處理、大腦-電腦介面、機器學習、人工智慧以及醫療保健中的物聯網。他是《Electronics Letters》、《IEEE Transactions on Neural Systems and Rehabilitation Engineering》和《Biomedical Signal Processing and Control》的副編輯，以及《IETE Technical Review》的編輯。他是IETE、IEI和IET的會士。他擁有307篇出版物：期刊文章（189）、會議論文（82）、書籍（10）和書籍章節（26）。他還擁有八項專利，包括一項澳大利亞專利（已授予）和七項印度專利（已發表）。根據Google Scholar，他的出版物被引用約15,000次，h-index為66。