Medical Internet of Things: Perspectives, Impact and Challenges
暫譯: 醫療物聯網：觀點、影響與挑戰

Tyagi, Amit Kumar, Kumari, Shabnam

Medical Internet of Things: Perspectives, Impact and Challenges
  • 出版商: CRC
  • 出版日期: 2026-04-21
  • 售價: $5,040
  • 貴賓價: 9.5 折 $4,788
  • 語言: 英文
  • 頁數: 426
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041085354
  • ISBN-13: 9781041085355
  • 相關分類: 穿戴式裝置 Wearable

    • 尚未上市，無法訂購

商品描述

The Medical Internet of Things (MIoT) has redefined healthcare by interconnecting devices, systems, and applications to monitor, analyze, and manage patient data in real time. MIoT leverages wearable devices, sensors, and interconnected medical equipment, enabling remote health monitoring, precision medicine, and improved patient outcomes. By seamlessly integrating patient data from various sources, MIoT leads to early diagnosis, treatment optimization, and personalized healthcare interventions. With this interconnectedness, healthcare professionals gain continuous access to patient vitals, enhancing diagnostic accuracy and response times, particularly in remote and underserved areas. This real-time data flow also facilitates predictive analytics, helping pre-empt adverse events and reducing hospital readmissions. However, MIoT also raises significant challenges, including concerns about data privacy, security, and the risk of cyber threats. The vast amounts of sensitive patient information shared across networks make privacy safeguards and robust security mechanisms essential to protect patient confidentiality and data integrity.

The potential of MIoT to revolutionize healthcare is vast, offering unprecedented opportunities for improved patient care and operational efficiency. As MIoT continues to evolve, balancing innovation with privacy and security will be crucial to fostering trust, ensuring compliance, and maximizing the benefits of this technology in healthcare.

商品描述(中文翻譯)

醫療物聯網（MIoT）透過互聯設備、系統和應用程式，重新定義了醫療保健，實現對病人數據的實時監控、分析和管理。MIoT 利用可穿戴設備、感測器和互聯醫療設備，使遠程健康監測、精準醫療和改善病人結果成為可能。通過無縫整合來自各種來源的病人數據，MIoT 促進了早期診斷、治療優化和個性化醫療干預。這種互聯性使醫療專業人員能夠持續訪問病人的生命體徵，提升診斷準確性和反應時間，特別是在偏遠和服務不足的地區。這種實時數據流還促進了預測分析，幫助預防不良事件並減少住院再入院率。然而，MIoT 也帶來了重大挑戰，包括對數據隱私、安全性和網絡威脅風險的擔憂。大量敏感的病人信息在網絡中共享，使得隱私保護和強健的安全機制對於保護病人機密性和數據完整性至關重要。

MIoT 改變醫療保健的潛力是巨大的，提供了前所未有的機會來改善病人護理和運營效率。隨著 MIoT 的持續發展，平衡創新與隱私和安全將對於建立信任、確保合規性以及最大化這項技術在醫療保健中所帶來的好處至關重要。

作者簡介

Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India. He is presently working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, India. Prior to this he was as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.

Shabnam Kumari is a PhD scholar in the Department of Computer Science and Engineering, SRM University, Chennai, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed 5 national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network, and has published 3 research articles in conference proceeding and journals. Her areas of interest are Machine Learning, Deep Learning, etc. She is a life time member of ACM- Women, SCRS.

作者簡介(中文翻譯)

Amit Kumar Tyagi 擁有印度普德治的龐迪榭里中央大學的博士學位。目前，他在印度甘地納格的國立法醫科學大學擔任助理教授。在此之前，他曾在多所學院擔任助理教授，包括加茲亞巴德的克里希納工程學院 (LKCE)（2009-2010年及2012-2013年）、法里達巴德的林蓋亞大學（前稱林蓋亞大學）（2018-2019年）、金奈的VIT（2019-2022年）及新德里的NIFT（2022-2025年）。他的指導經驗包括超過10篇碩士論文和一篇博士論文。他參與了多個項目，如「AARIN」和「P3-Block」，以解決與車輛應用（如停車和醫療網路物理系統）相關的隱私洩露問題。他的研究重點包括下一代基於機器的通信、區塊鏈技術、智能安全計算和隱私。他是ACM、MIRLabs、拉馬努詹數學學會、密碼學研究學會、全球科學教育與研究網絡及ISTE的正式成員，並且是IEEE的資深會員。

Shabnam Kumari 是印度金奈SRM大學計算機科學與工程系的博士生。她擁有超過3年的教學、研究及其他領域的經驗。她在法里達巴德的YMCA科學與技術大學完成了碩士學位（MCA）。她在物聯網、機器學習、深度學習和無線網絡領域申請了5項國內外專利，並在會議論文和期刊上發表了3篇研究文章。她的研究興趣包括機器學習、深度學習等。她是ACM-Women和SCRS的終身會員。

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