Machine Learning for Biomedical Engineers
暫譯: 生物醫學工程師的機器學習

本書結合了機器學習 (ML) 和生物醫學工程，以解決醫療保健和生物醫學研究中的實際問題，專注於包括生物資訊學、個性化醫療、醫學影像分析、疾病檢測和健康監測等現實應用。書中包含案例研究和示例，展示了各種 ML 演算法如何應用於生物醫學數據集。此外，還涵蓋了在生物醫學環境中使用 ML 所特有的倫理問題和挑戰，例如數據隱私、演算法偏見和法規遵從性。

- 提供生物醫學和生物醫學工程中 ML 的廣泛介紹
- 討論與生物工程中 ML 相關的倫理考量和可解釋性
- 探索逐步教程、程式碼示例和現實案例研究
- 回顧針對生物醫學數據的特徵選擇、模型訓練與評估、數據預處理和驗證技術
- 包含 MATLAB 和 Python 編程範例

本書的目標讀者為生物工程和機器學習的研究生及研究人員。

Vijay Jeyakumar is an Associate Professor in the Department of Biomedical Engineering at SSN College of Engineering, Chennai, with more than 18 years of academic and research experience. He completed his Ph.D. in Medical Informatics (2015) and M.E., Medical Electronics (2008) from Anna University.

Currently, Dr. Vijay is supervising five Ph.D. students and has successfully guided three research scholars. He is a recognised supervisor of Anna University, Chennai, and a doctoral committee member for several scholars of deemed-to-be Universities. He has published over 80 papers in peer-reviewed journals and conferences and authored 14 book chapters on topics such as medical image retrieval, brain-computer interfaces, machine learning (ML), and deep learning (DL). He has secured funding from organisations including IEEE (USA), NAAC, CSIR, TANSCST, and ISTE for workshops, seminars, and training programs and is involved in four projects funded by DST, TANSCST, AICTE, NASF, and SSN Trust.

He has also received the P K Das Memorial Award and the Imagine Award 2024 for Educational Excellence from Autodesk Corporation. He is the recipient of SSN best teacher award. His six patenting applications are published by Intellectual property India and his three patents are granted. Additionally, he is a Board of Studies member nominated by Anna University, Chennai, and has chaired the Biomedical Engineering boards at both Anna University and Vel Tech University, Chennai. He has been invited as an Academic Auditor by several Technical Institutions.

Dr. J. Vijay is an Editorial board member for three journals and a reviewer for peer-reviewed journals like the Journal of Neuro Computing, Journal of Biomedical and Science Engineering, and many more. Also, he has visited several southeast universities to know modern educational pedagogy initiatives.

N. Venkateswaran is a Professor in the Department of Electronics and Communication Engineering at Sri Sivasubramaniya Nadar College of Engineering, Chennai, where he also serves as the Coordinator of the Internal Quality Assurance Cell (IQAC). He holds a Ph.D. in Information and Communication Engineering from Anna University and an M.Tech from Pondicherry University.

With over 28 years of experience in teaching and research, complemented by six years of industry experience, Dr. Venkateswaran has developed extensive expertise in image and signal processing, biomedical signal processing, deep learning, wireless communication, machine learning (ML), and photonics system design.

He has authored and co-authored more than 120 research papers published in reputed international journals and conferences. In addition to his research contributions, he has actively organised faculty development programs, workshops, and academic events, contributing significantly to academic and professional development within the engineering community. In recognition of his excellence in teaching, he received the Best Teacher Award for the academic year 2021-2022. He also successfully mentored a student team that secured first place in a Smart India Hackathon 2022 contest.

A long-standing member of IEEE, Dr. Venkateswaran has played an active role in the IEEE Signal Processing Society, Madras Chapter, where he served as Secretary and later as Chair. He was also the Organizing Chair of WiSPNET 2021 and has facilitated several IEEE Signal Processing Society Distinguished Lectures, strengthening academic-industry collaboration and knowledge exchange.

Dr. Venkateswaran also served as invited speaker and has chaired technical sessions at several prestigious international conferences, including IEEE TENCON 2016 in Singapore and the 53rd IETE Mid-Term Symposium in Nepal. More recently, he participated in ICASSP 2024 in Seoul and ICASSP 2025, further enhancing his engagement with the global research community.

Dinesh Bhatia earned his Ph.D. in Biomechanics and Rehabilitation Engineering from MNNIT Allahabad in 2010, after completing his Bachelor's (2002) and Master's (2004) degrees in Biomedical Engineering from Mumbai University. He also holds an MBA with dual specialisation from IMT Ghaziabad (2007). He is currently a Professor in the Department of Biomedical Engineering at North Eastern Hill University (NEHU), Shillong, where he previously served as Associate Professor since 2013. Before joining NEHU, he worked as Assistant Professor (Sr. Grade) at DCRUST, Murthal, from 2006 to 2013.

He received the prestigious BOYSCAST Young Scientist Award (2011-12) to pursue research in osteoarthritis at Florida International University, USA, and the INAE Fellowship Award in 2011. He was also selected by ICMR as one of India's twelve young biomedical scientists for research in sensory prosthetics at the University of Glasgow (2014-15). His international training includes biomechanics and gait analysis in Germany and neuromodulation techniques in Russia.

With over 20 years of teaching and research experience, Prof. Bhatia has published more than 350 articles, 14 books, and 36 book chapters, and holds multiple patents. His research spans muscle mechanics, joint dynamics, medical instrumentation, rehabilitation engineering, signal and image processing, and sustainable healthcare innovations.

Vijay Jeyakumar 是印度金奈 SSN 工程學院生物醫學工程系的副教授，擁有超過 18 年的學術和研究經驗。他於 2015 年獲得醫療資訊學博士學位，並於 2008 年獲得安娜大學的醫療電子碩士學位。

目前，Vijay 博士正在指導五名博士生，並成功指導了三名研究學者。他是金奈安娜大學的認可指導教授，並擔任多所被認可大學的博士委員會成員。他在同行評審的期刊和會議上發表了超過 80 篇論文，並撰寫了 14 章書籍，主題包括醫療影像檢索、腦機介面、機器學習 (ML) 和深度學習 (DL)。他獲得了來自 IEEE (美國)、NAAC、CSIR、TANSCST 和 ISTE 等機構的資助，用於工作坊、研討會和培訓計劃，並參與了四個由 DST、TANSCST、AICTE、NASF 和 SSN Trust 資助的項目。

他還獲得了 P K Das 紀念獎和 2024 年 Autodesk Corporation 教育卓越獎。他是 SSN 最佳教師獎的獲得者。他的六項專利申請已由印度知識產權局發布，並獲得了三項專利。此外，他是金奈安娜大學提名的學術委員會成員，並曾擔任安娜大學和金奈 Vel Tech 大學的生物醫學工程委員會主席。他曾被多所技術機構邀請擔任學術審核員。

J. Vijay 博士是三本期刊的編輯委員會成員，並擔任《神經計算期刊》、《生物醫學與科學工程期刊》等同行評審期刊的審稿人。此外，他還訪問了幾所東南亞大學，以了解現代教育教學法的倡議。

N. Venkateswaran 是金奈 Sri Sivasubramaniya Nadar 工程學院電子與通信工程系的教授，並擔任內部質量保證小組 (IQAC) 的協調員。他擁有安娜大學的信息與通信工程博士學位和龐迪榭里大學的碩士學位。

擁有超過 28 年的教學和研究經驗，加上六年的行業經驗，Venkateswaran 博士在影像和信號處理、生物醫學信號處理、深度學習、無線通信、機器學習 (ML) 和光子系統設計方面擁有廣泛的專業知識。

他已發表和共同發表超過 120 篇在知名國際期刊和會議上發表的研究論文。除了他的研究貢獻外，他還積極組織教師發展計劃、工作坊和學術活動，對工程界的學術和專業發展做出了重要貢獻。因其卓越的教學表現，他獲得了 2021-2022 學年的最佳教師獎。他還成功指導了一個學生團隊，在 2022 年的 Smart India Hackathon 比賽中獲得第一名。

作為 IEEE 的長期成員，Venkateswaran 博士在 IEEE 信號處理學會馬德拉斯分會中積極參與，曾擔任秘書和主席。他還是 WiSPNET 2021 的組織主席，並促進了多場 IEEE 信號處理學會的特邀講座，加強了學術與產業的合作與知識交流。

Venkateswaran 博士還曾擔任多個國際會議的特邀講者，並主持技術會議，包括 2016 年在新加坡舉行的 IEEE TENCON 和在尼泊爾舉行的第 53 屆 IETE 中期研討會。最近，他參加了 2024 年在首爾舉行的 ICASSP 和 2025 年的 ICASSP，進一步加強了他與全球研究社群的聯繫。

Dinesh Bhatia 於 2010 年在 MNNIT Allahabad 獲得生物力學和康復工程博士學位，之前在 2002 年和 2004 年分別獲得孟買大學的學士和碩士學位。他還擁有 IMT Ghaziabad 的雙專業 MBA（2007）。目前，他是位於 Shillong 的東北山丘大學 (NEHU) 生物醫學工程系的教授，並自 2013 年以來擔任副教授。在加入 NEHU 之前，他於 2006 年至 2013 年在 DCRUST, Murthal 擔任助理教授（高級職級）。

他獲得了著名的 BOYSCAST 年輕科學家獎（2011-12），以在美國佛羅里達國際大學進行關於骨關節炎的研究，並於 2011 年獲得 INAE 獎學金。他還被 ICMR 選為印度十二位年輕生物醫學科學家之一，於 2014-15 年在格拉斯哥大學進行感官義肢的研究。他的國際培訓包括在德國進行生物力學和步態分析，以及在俄羅斯進行神經調節技術的培訓。

擁有超過 20 年的教學和研究經驗，Bhatia 教授已發表超過 350 篇文章、14 本書籍和 36 章書籍，並擁有多項專利。他的研究涵蓋肌肉力學、關節動力學、醫療儀器、康復工程、信號和影像處理以及可持續醫療創新。