Artificial Intelligence-based Signal Processing for Brain Activity Analysis
暫譯: 基於人工智慧的腦部活動分析信號處理

人工智慧基礎的腦部活動分析信號處理是解決醫學、腦部相關疾病檢測、腦機介面以及神經行銷等迫切挑戰的不可或缺資源。本書深入探討當代的人工智慧（AI）、機器學習（ML）和信號處理方法，以分析腦部活動。

本書的主要特色包括：
(1) 腦部信號的獲取、預處理、噪音去除和處理方法，包括腦電圖（EEG）、皮層內電圖（ECoG）、腦磁圖（MEG）、功能性磁共振成像（fMRI）和功能性近紅外光譜（fNIRS）。
(2) 與腦部信號分類相關的最新AI和ML演算法，包括傳統機器學習者、深度轉移學習者、長短期記憶（LSTM）和自編碼器（auto-encoders）、以及變壓器（transformers）。
(3) 在醫學中的應用，包括心理健康護理、心理壓力減少、心理障礙檢測、強迫症（OCD）檢測、睡眠障礙檢測、癲癇檢測、腦腫瘤檢測、阿茲海默症檢測，以及雙相情感障礙預測。
(4) 在腦機介面（BCI）、遊戲與娛樂，以及神經行銷中的應用。
(5) 包含最新的案例研究、實驗和研究工作。

本書主要針對高年級本科生、研究生、行業專業人士、研究人員以及在人工智慧、機器學習、信號處理技術、生物醫學信號處理、腦部信號分析和腦部活動分析領域工作的學者撰寫。

Dr. Rahul Kumar Chaurasiya is working as Associate Professor at Maulana Azad National Institute of Technology (MANIT) Bhopal, India. He received the Bachelor of Technology degree from MANIT Bhopal, India in 2009 and the Master of Engineering degree from the Indian Institute of Science (IISc) Bangalore, India in 2011. He received his Ph.D. degree in 2017 from National Institute of Technology (NIT) Raipur. He was a senior software engineer with Brocade Communications Systems, Bangalore, in 2011-12. During 2013-19, he was assistant professor at the NIT Raipur, and during 2019-20 he was assistant professor at the Malaviya National Institute of Technology (MNIT) Jaipur, India. From June 2020 to Dec 2024, he worked as assistant Professor at MANIT Bhopal. He is a life member of Soft Computer Research Society (SCRS), life member of Indian Academy of Neuroscience (IAN), Life member of IETE, and senior member of IEEE.

Dr. Chaurasiya's research area includes Machine Learning, Pattern Recognition, Brain-Computer Interfacing, Optimization, and Biomedical Signal Processing. He has authored and published more than 85 research articles in aforementioned areas. He has also published one technical book as author and two as editor. He has completed three sponsored-research projects (sponsored through DST, TEQIP-III, and MANIT) and is currently working on one project sponsored through ISRO. He has six patents granted and one published in his name. He has successfully Supervised 3 PhD candidates and is currently supervising 4 more. He has also supervised total 13 M Tech candidates. He is a recipient of SERB International Travel Support and UGC International Travel Grant. He has visited England, Singapore, Thailand, UAE, and Japan to present his research work in different international conferences. He has delivered more than 50 expert lectures in his area of interest.

Dr. Varun Bajaj (PhD, SMIEEE20) is working as an Associate Professor in the Department of Electronics and Communication Engineering, at Maulana Azad National Institute of Technology Bhopal, India. He served as Associate Professor in the discipline of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since July 2021 to Jan 2024. He worked as Assistant Professor in IIITDM Jabalpur from March 2014 to July 2021. He also worked as a visiting faculty in IIITDM Jabalpur from September 2013 to March 2014. He worked as Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He received M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009, B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006.

He is an Associate Editor of IEEE Sensor Journal, Biomedical Signal Processing for Frontiers in Signal Processing, Subject Editor-in-Chief of IET Electronics Letters. He is Senior Member IEEE June 2020, MIEEE 16-20, and also contributing as active technical reviewer of leading international journals. He has served as member of review boards for around 80 scientific journals. He has also served in the scientific committees of various international conferences. He has delivered more than 50 expert talks and lectures in conferences, workshops, and short-term courses organized by various institutes. He has received several awards and has been listed as the world's top 2 % researchers/scientists by Stanford University, USA (2020 to 2024).

He has 197 publications which include journal papers (, 116), conference papers (, 45), books (16), and book chapters (20). He has also Granted 2 international patents and published 7 Indian patents. The citation impact of his publications is around 8500 citations, h-index of 54, and i10 index of 127 (Google Scholar Jan 2025). He has guided nine ( 09 completed, and 3 In process) PhD Scholars, Nine M. Tech. Scholars. He has worked on 5 research projects funded by DST & CSIR and 3 Consultancy projects. His research interests include Biomedical Signal Processing, AI in Healthcare, Brain Computer Interface, Pattern Recognition, ECG signal processing.

Dr. Vishakha Chourasia received her B.Tech degree in Computer Science and Engineering from Rajiv Gandhi Technical University (RGTU) Bhopal, India in 2011. She completed her M.Tech degree from National Institute of Technical Teachers Training and Research (NITTTR), Bhopal in 2015. She received Ph.D in 2022 from the department of Information Technology of National Institute of Technology (NIT) Raipur. She has working as Assistant Professor in Department of Information Technology at Indian Institute of Information Technology (IIIT) Bhopal, India during 2022-2025. She is currently perusing post-doctoral fellowship from Scuola Superiore Sant'Anna, Pisa, Italy.

Dr. Chourasia's research focuses on Machine Learning, Artificial Intelligence, Opportunistic Networks, Vehicular Communication, Sensor Networks, Biomedical Image Processing, and Optimization Techniques. She has published more than 20 research articles in international journals, conferences, and books. She has 2 patent granted and 1 published in her name. She is currently working on one research project sponsored through ISRO. She has served as scientific committee member and session chair in various international conferences.

拉胡爾·庫馬爾·喬拉西亞博士目前擔任印度博帕爾的馬哈拉納·阿扎德國立技術學院（MANIT）副教授。他於2009年在MANIT博帕爾獲得技術學士學位，並於2011年在印度科學院（IISc）班加羅爾獲得工程碩士學位。他於2017年在國立技術學院（NIT）賴普爾獲得博士學位。2011年至2012年，他在班加羅爾的Brocade Communications Systems擔任高級軟體工程師。在2013年至2019年間，他擔任NIT賴普爾的助理教授，並在2019年至2020年期間擔任印度賈布爾的馬拉維亞國立技術學院（MNIT）的助理教授。自2020年6月至2024年12月，他在MANIT博帕爾擔任助理教授。他是軟體計算研究學會（SCRS）的終身會員、印度神經科學學會（IAN）的終身會員、IETE的終身會員，以及IEEE的高級會員。

喬拉西亞博士的研究領域包括機器學習、模式識別、大腦-電腦介面、優化和生物醫學信號處理。他在上述領域撰寫並發表了超過85篇研究文章。他還作為作者出版了一本技術書籍，並作為編輯出版了兩本書籍。他已完成三個贊助研究項目（通過DST、TEQIP-III和MANIT贊助），目前正在進行一個由ISRO贊助的項目。他擁有六項專利，並有一項專利已發表在他名下。他成功指導了3名博士候選人，並目前正在指導另外4名。他還指導了總共13名碩士候選人。他是SERB國際旅行支持和UGC國際旅行補助的獲得者。他曾前往英國、新加坡、泰國、阿聯酋和日本，在不同的國際會議上展示他的研究工作。他在其研究興趣領域發表了超過50場專家講座。

瓦倫·巴賈吉博士（PhD, SMIEEE20）目前擔任印度博帕爾的馬哈拉納·阿扎德國立技術學院電子與通信工程系的副教授。他自2021年7月至2024年1月在印度信息技術設計與製造學院（IIITDM）賈布爾擔任電子與通信工程學科的副教授。2014年3月至2021年7月，他在IIITDM賈布爾擔任助理教授。他還於2013年9月至2014年3月在IIITDM賈布爾擔任訪問教員。他在印度印多爾的施里·維什納夫科技與科學學院電子與儀器系擔任助理教授，任期為2009年至2010年。他於2014年在印度理工學院印多爾獲得電氣工程學科的博士學位。他於2009年在施里·戈文德拉姆·塞克薩里科技與科學學院獲得微電子學和VLSI設計的榮譽碩士學位，並於2006年在博帕爾的拉吉夫·甘地科技大學獲得電子與通信工程的學士學位。

他是IEEE Sensor Journal的副編輯、Frontiers in Signal Processing的生物醫學信號處理編輯，以及IET Electronics Letters的主編。他是IEEE的高級會員（2020年6月），MIEEE（2016-2020），並作為主要國際期刊的活躍技術審稿人。他曾擔任約80本科學期刊的審稿委員會成員，並在各種國際會議的科學委員會中任職。他在各種機構組織的會議、研討會和短期課程中發表了超過50場專家講座。他獲得了多項獎項，並被美國史丹佛大學列為全球前2%的研究人員/科學家（2020至2024年）。

他擁有197篇出版物，包括期刊論文（116篇）、會議論文（45篇）、書籍（16本）和書籍章節（20篇）。他還獲得了2項國際專利並發表了7項印度專利。他的出版物引用影響約為8500次，h指數為54，i10指數為127（Google Scholar 2025年1月）。他指導了9名（已完成9名，正在進行3名）博士生和9名碩士生。他參與了5個由DST和CSIR資助的研究項目和3個顧問項目。他的研究興趣包括生物醫學信號處理、醫療保健中的人工智慧、大腦電腦介面、模式識別和心電圖信號處理。

維沙卡·喬拉西亞博士於2011年在印度博帕爾的拉吉夫·甘地技術大學（RGTU）獲得計算機科學與工程的B.Tech學位。她於2015年在博帕爾的國立技術教師培訓與研究院（NITTTR）獲得M.Tech學位。她於2022年在國立技術學院（NIT）賴普爾的信息技術系獲得博士學位。她於2022年至2025年在印度信息技術學院（IIIT）博帕爾擔任助理教授。她目前正在意大利比薩的聖安娜高等學校進行博士後研究。

喬拉西亞博士的研究重點包括機器學習、人工智慧、機會網絡、車輛通信、感測器網絡、生物醫學影像處理和優化技術。她在國際期刊、會議和書籍上發表了超過20篇研究文章。她擁有2項專利，並有1項專利已發表在她名下。她目前正在進行一個由ISRO贊助的研究項目。她曾在各種國際會議中擔任科學委員會成員和會議主席。