Neural Rehab: Deep Learning in Healthcare Revitalization
暫譯: 神經復健：以 Deep Learning 促進醫療革新
Das, Sima, Bhowmick, Parijat, Arvin, Farshad
- 出版商: CRC
- 出版日期: 2026-10-16
- 售價: $2,690
- 貴賓價: 9.5 折 $2,555
- 語言: 英文
- 頁數: 204
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032840382
- ISBN-13: 9781032840383
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相關分類:
DeepLearning
尚未上市，無法訂購
商品描述
In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform the field of neural rehabilitation. This book sets the stage for the exploration of deep learning's significant impact on the revitalization of healthcare through neural rehabilitation.
Neural Rehab: Deep Learning in Healthcare Revitalization offers a detailed exploration of the intersection between deep learning and neural rehabilitation, shedding light on a critical area in healthcare. Through real-life examples and case studies, readers will gain a practical understanding of how deep learning is utilized in everyday healthcare settings to improve patient outcomes. The focus is on how deep learning algorithms are being used to personalize rehabilitation plans, demonstrating how technology can tailor interventions to meet the unique needs and progress of each individual. The book covers various aspects of neural rehabilitation, such as stroke recovery, brain injuries, and neurological disorders, providing readers with a comprehensive understanding of the subject matter. A key emphasis is placed on the patient-centric approach, showcasing how deep learning contributes to enhanced patient experiences, improved recovery, and an overall better quality of life.
This book is essential reading for healthcare professionals, researchers, and anyone interested in the intersection of deep learning and neural rehabilitation.
商品描述(中文翻譯)
近年來，尖端科技與醫療保健的整合帶來了突破性的進展。尤其是深度學習（deep learning）已逐漸成為一股革命性力量，有望改變神經復健領域。本書將帶領讀者探索深度學習如何透過神經復健，對醫療保健的革新產生重大影響。
《Neural Rehab: Deep Learning in Healthcare Revitalization》深入探討深度學習與神經復健的交會，揭示醫療保健領域中的重要議題。透過真實案例與個案研究，讀者將實際了解深度學習如何應用於日常醫療環境，以改善患者的治療成果。本書聚焦於深度學習演算法如何用來制定個人化復健計畫，說明科技如何根據每位患者獨特的需求與復原進度，量身打造適切的介入措施。
本書涵蓋神經復健的各個面向，例如中風復原、腦部損傷與神經系統疾病，讓讀者全面理解相關主題。書中尤其強調以患者為中心的方法，展示深度學習如何提升患者體驗、改善復原成效，並全面提升生活品質。
本書是醫療專業人員、研究人員，以及任何對深度學習與神經復健交會領域感興趣人士的必讀作品。
作者簡介
Sima Das is an Assistant Professor at Bengal College of Engineering and Technology, Durgapur, India, previously served at Camellia Institute of Technology and Management, Hooghly. She earned her M. Tech in Computer Science and Engineering in 2020 from Maulana Abul Kalam Azad University of Technology. Currently pursuing her Ph.D. at NIT Rourkela, her expertise spans Artificial Intelligence, Machine Learning, Deep Learning, IoT, Cybersecurity, Smart Healthcare, and Agriculture. Recognized with the 2021 Research Excellence Award, Sima is an Associate Member of the Institute of Engineers and a Professional Member of IEEE. She is a prolific author, contributing to books, chapters, papers, patents, and journals while actively engaging as an Editor and Reviewer for international publications.
Parijat Bhowmick is an Assistant Professor, who specializes in Robust Control, Negative-Imaginary Systems, and Cooperative Control of Multi-agent Systems. He holds a Ph.D. from IIT Kharagpur and conducted post-doctoral research at the University of Manchester, UK. His research contributions include adaptive control schemes for vehicle platoons, distributed formation tracking, and secondary control for microgrids. Dr. Bhowmick has authored numerous papers in prestigious journals, notably IEEE Transactions, and received recognition for his work, including the Research Excellence Award. His expertise extends to Vibration Control, Smart Grids, and applications in Robotics. He actively contributes to advancing control theory and its practical applications.
Farshad Arvin is an Associate Professor at Durham University, UK, earning his BSc in Computer Engineering in 2004, an MSc in Computer Systems Engineering in 2010, and a PhD in Computer Science in 2015. Formerly a Lecturer and Senior Lecturer in Robotics at the University of Manchester, he joined Durham in 2022. His extensive research spans Swarm Robotics, Autonomous Multi-agent Systems, and Bio-hybrid Systems. Farshad founded the Swarm and Computation Intelligence Laboratory in 2018, overseeing 3 Post-Doctoral Research Associates and 8 PGR students.
Arpan Adhikary, an Assistant Professor at Haldia Institute of Technology, previously served at Bengal College of Engineering and Technology, Durgapur, India. He earned his M. Tech in Computer Science and Engineering in 2022 from Maulana Abul Kalam Azad University of Technology. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, IoT, Cybersecurity, and Smart Healthcare. He is a prolific author, contributing to books, chapters, and papers while actively engaging as a Reviewer for international publications.
作者簡介(中文翻譯)
Sima Das 是印度杜爾加布爾 Bengal College of Engineering and Technology 的助理教授，曾任職於 Hooghly 的 Camellia Institute of Technology and Management。她於 2020 年取得 Maulana Abul Kalam Azad University of Technology 的 Computer Science and Engineering 碩士學位。目前，她正在 NIT Rourkela 攻讀 Ph.D.，專長涵蓋 Artificial Intelligence、Machine Learning、Deep Learning、IoT、Cybersecurity、Smart Healthcare 與 Agriculture。Sima 曾獲頒 2021 Research Excellence Award，並擔任 Institute of Engineers 準會員及 IEEE 專業會員。她著作豐富，參與撰寫書籍、書籍章節、論文、專利及期刊文章，同時積極擔任國際出版品的編輯與審稿人。
Parijat Bhowmick 是一名助理教授，專長為 Robust Control、Negative-Imaginary Systems 以及 Multi-agent Systems 的 Cooperative Control。他取得 IIT Kharagpur 的 Ph.D.，並曾於英國 University of Manchester 進行博士後研究。他的研究成果包括車輛編隊的自適應控制方案、分散式編隊追蹤，以及微電網的次級控制。Bhowmick 博士曾在多份知名期刊發表多篇論文，尤其包括 IEEE Transactions 系列期刊，並因其研究工作獲得 Research Excellence Award 等肯定。他的專業領域也涵蓋 Vibration Control、Smart Grids 以及 Robotics 應用。他積極致力於推動控制理論及其實務應用的發展。
Farshad Arvin 是英國 Durham University 的副教授，於 2004 年取得 Computer Engineering 學士學位、2010 年取得 Computer Systems Engineering 碩士學位，並於 2015 年取得 Computer Science 博士學位。他曾任 University of Manchester 的 Robotics 講師與高級講師，並於 2022 年加入 Durham University。他的研究領域相當廣泛，涵蓋 Swarm Robotics、Autonomous Multi-agent Systems 及 Bio-hybrid Systems。Farshad 於 2018 年創立 Swarm and Computation Intelligence Laboratory，指導 3 名博士後研究助理及 8 名研究型研究生。
Arpan Adhikary 是 Haldia Institute of Technology 的助理教授，過去曾任職於印度杜爾加布爾的 Bengal College of Engineering and Technology。他於 2022 年取得 Maulana Abul Kalam Azad University of Technology 的 Computer Science and Engineering 碩士學位。其專長涵蓋 Artificial Intelligence、Machine Learning、Deep Learning、IoT、Cybersecurity 與 Smart Healthcare。他著作豐富，參與撰寫書籍、書籍章節及論文，同時積極擔任國際出版品的審稿人。
