Neural Rehab: Deep Learning in Healthcare Revitalization
暫譯: 神經復健:深度學習在醫療復甦中的應用

Das, Sima, Bhowmick, Parijat, Arvin, Farshad

  • 出版商: CRC
  • 出版日期: 2025-07-30
  • 售價: $6,740
  • 貴賓價: 9.5$6,403
  • 語言: 英文
  • 頁數: 204
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032839988
  • ISBN-13: 9781032839981
  • 相關分類: DeepLearning
  • 海外代購書籍(需單獨結帳)

相關主題

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)

在近幾年,尖端技術與醫療保健的整合帶來了突破性的進展。特別是深度學習,已成為一股革命性的力量,準備改變神經康復領域。本書為探索深度學習對醫療保健復甦的重大影響奠定了基礎。

《神經康復:醫療保健復甦中的深度學習》詳細探討了深度學習與神經康復之間的交集,揭示了醫療保健中的一個關鍵領域。通過真實案例和實例,讀者將實際了解深度學習如何在日常醫療環境中被利用,以改善病人結果。重點在於深度學習算法如何被用來個性化康復計劃,展示了技術如何根據每個人的獨特需求和進展量身定制干預措施。本書涵蓋了神經康復的各個方面,如中風恢復、腦部受傷和神經系統疾病,為讀者提供了對該主題的全面理解。特別強調以病人為中心的方法,展示了深度學習如何促進病人經驗的提升、改善康復以及整體生活品質的提高。

本書是醫療保健專業人員、研究人員以及任何對深度學習與神經康復交集感興趣的人的必讀書籍。

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 是印度杜爾卡普爾的孟加拉工程與技術學院的助理教授,曾在胡格利的卡美利亞科技與管理學院任教。她於2020年在馬烏拉納·阿布爾·卡拉姆·阿扎德科技大學獲得計算機科學與工程碩士學位。目前正在NIT Rourkela攻讀博士學位,她的專業領域包括人工智慧(Artificial Intelligence)、機器學習(Machine Learning)、深度學習(Deep Learning)、物聯網(IoT)、網絡安全(Cybersecurity)、智慧醫療(Smart Healthcare)和農業(Agriculture)。她因在2021年獲得研究卓越獎而受到認可,並且是工程師學會的副會員及IEEE的專業會員。她是一位多產的作者,為書籍、章節、論文、專利和期刊作出貢獻,同時積極擔任國際出版物的編輯和審稿人。

Parijat Bhowmick 是一位助理教授,專注於穩健控制(Robust Control)、負虛數系統(Negative-Imaginary Systems)和多代理系統的協作控制(Cooperative Control)。他擁有印度理工學院卡哈拉古爾的博士學位,並在英國曼徹斯特大學進行博士後研究。他的研究貢獻包括車輛編隊的自適應控制方案、分佈式隊形跟踪和微電網的次級控制。Bhowmick博士在知名期刊上發表了多篇論文,特別是在IEEE Transactions上,並因其工作獲得研究卓越獎的認可。他的專業領域還包括振動控制(Vibration Control)、智慧電網(Smart Grids)和機器人應用(applications in Robotics)。他積極推動控制理論及其實際應用的發展。

Farshad Arvin 是英國達勒姆大學的副教授,於2004年獲得計算機工程學士學位,2010年獲得計算機系統工程碩士學位,2015年獲得計算機科學博士學位。曾在曼徹斯特大學擔任講師和高級講師,於2022年加入達勒姆大學。他的廣泛研究涵蓋群體機器人(Swarm Robotics)、自主多代理系統(Autonomous Multi-agent Systems)和生物混合系統(Bio-hybrid Systems)。Farshad於2018年創立了群體與計算智能實驗室,負責3名博士後研究助理和8名研究生。

Arpan Adhikary 是哈爾迪亞科技學院的助理教授,曾在印度杜爾卡普爾的孟加拉工程與技術學院任教。他於2022年在馬烏拉納·阿布爾·卡拉姆·阿扎德科技大學獲得計算機科學與工程碩士學位。他的專業領域包括人工智慧(Artificial Intelligence)、機器學習(Machine Learning)、深度學習(Deep Learning)、物聯網(IoT)、網絡安全(Cybersecurity)和智慧醫療(Smart Healthcare)。他是一位多產的作者,為書籍、章節和論文作出貢獻,同時積極擔任國際出版物的審稿人。