Graphene in Wearable Sensors for Health Monitoring
暫譯: 健康監測用可穿戴傳感器中的石墨烯

Debnath, Sourabhi, Debnath, Tanmoy, Moni, Mohammad Ali

Graphene in Wearable Sensors for Health Monitoring
  • 出版商: Springer
  • 出版日期: 2025-09-27
  • 售價: $2,570
  • 貴賓價: 9.5 折 $2,442
  • 語言: 英文
  • 頁數: 119
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819688493
  • ISBN-13: 9789819688494
  • 相關分類: 穿戴式裝置 Wearable

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book highlights the advancement of graphene-based non-invasive sensors for health monitoring. Graphene has been considered the strongest and thinnest known material to date. Unlike most semiconductor systems, its two-dimensional (2D) electronic state can be accessed directly by tunneling or other local probes. With their mechanical, thermal, and electrical properties, graphene-based materials have shown effectiveness in sensing various biophysical and biochemical signals such as body temperature, heart rate, respiration rate, blood pressure, blood glucose levels and electrocardiograms, electromyograms, and electroencephalograms.

商品描述(中文翻譯)

本書強調了基於石墨烯的非侵入式健康監測傳感器的進展。石墨烯被認為是迄今為止已知的最強和最薄的材料。與大多數半導體系統不同，其二維（2D）電子狀態可以通過隧道效應或其他局部探針直接訪問。憑藉其機械、熱學和電學特性，基於石墨烯的材料在感測各種生物物理和生化信號方面顯示出有效性，例如體溫、心率、呼吸率、血壓、血糖水平以及心電圖、肌電圖和腦電圖。

作者簡介

Dr Sourabhi Debnath is presently engaged as a researcher under the seed funding initiative of the Artificial Intelligence and Cyber Futures Institute (AICF) at Charles Sturt University (CSU), Australia. She holds a PhD in Nanotechnology from Technological University Dublin (TUD), Ireland, and an MSc by research from the Department of Electrical and Electronic Engineering (EEE), Rajshahi University (RU), Bangladesh. Dr Debnath graduated with distinction, achieving First Class First and First Class Third positions in her MSc and BSc (Hons) degrees, respectively, and was honoured with the prestigious University Gold Medal. Prior to her appointment at CSU, she served as an Assistant Professor in the EEE, RU and as an Assistant Lecturer at TUD, Ireland. Her primary research interests encompass data analysis, hyperspectral imaging, digital health, artificial intelligence, sensors, and nanotechnology.

Dr Tanmoy Debnath is currently employed as a Lecturer within the School of Computing, Mathematics and Engineering (SCME), and is also a Research Affiliate of the Artificial Intelligence and Cyber Futures Institute (AICF) at Charles Sturt University (CSU), Australia. He was awarded a PhD by Technological University Dublin (TUD), Ireland. Prior to this, he obtained MSc and BSc Engineering degrees from Chalmers University of Technology (CUT), Sweden, and the Bangladesh University of Engineering and Technology (BUET), Bangladesh, respectively. His research interests include artificial intelligence, e-Health, hyperspectral imaging, quantum computing, and computer vision.

Dr Mohammad Ali Moni obtained his Ph.D. in machine learning and data science from Cambridge University, UK. He is Program Lead of AI & Digital Health Technology at Charles Sturt University. He is also Research Professor at Washington University of Science & Technology, USA, and Group Leader and Head of the AI and Digital Health Technology Lab at the University of Queensland, Australia. His research interests are in the areas of AI-driven health data applications, AI-enabled portable device development, and bioinformatics.

Professor Manoranjan Paul is an experienced researcher in AI and Professor of Computer Science, Director of the Computer Vision Lab, and Head of the Machine Vision and Digital Health (MAVIDH) Research Group at CSU. He is an award-winning researcher e.g. Researcher of the Year in 2017 by Australian Computer Society (ACS), listed in the Best Computer Science Scientists in Australia, and Top 2% Scientist (Elsevier & Stanford). His research interests include AI, video compression, quantum computing, machine vision, and digital health.

作者簡介(中文翻譯)

德布納博士 (Dr Sourabhi Debnath) 目前在澳大利亞查爾斯·斯圖爾特大學 (Charles Sturt University, CSU) 的人工智慧與網路未來研究所 (Artificial Intelligence and Cyber Futures Institute, AICF) 參與種子資金計畫的研究。她擁有愛爾蘭都柏林科技大學 (Technological University Dublin, TUD) 的奈米科技博士學位，以及孟加拉國拉傑沙希大學 (Rajshahi University, RU) 電機與電子工程系的研究碩士學位。德布納博士以優異的成績畢業，分別在其碩士和榮譽學士學位中獲得一級第一和一級第三的成績，並榮獲大學金獎。她在 CSU 任職之前，曾擔任 RU 的助理教授及 TUD 的助理講師。她的主要研究興趣包括數據分析、超光譜成像、數位健康、人工智慧、感測器和奈米科技。

德班納博士 (Dr Tanmoy Debnath) 目前在澳大利亞查爾斯·斯圖爾特大學 (Charles Sturt University, CSU) 的計算機、數學與工程學院 (School of Computing, Mathematics and Engineering, SCME) 擔任講師，同時也是人工智慧與網路未來研究所 (Artificial Intelligence and Cyber Futures Institute, AICF) 的研究夥伴。他獲得了愛爾蘭都柏林科技大學 (Technological University Dublin, TUD) 的博士學位。在此之前，他分別從瑞典查爾默斯科技大學 (Chalmers University of Technology, CUT) 和孟加拉國工程與科技大學 (Bangladesh University of Engineering and Technology, BUET) 獲得碩士和學士工程學位。他的研究興趣包括人工智慧、電子健康、超光譜成像、量子計算和計算機視覺。

莫哈末·阿里·莫尼博士 (Dr Mohammad Ali Moni) 在英國劍橋大學獲得機器學習和數據科學的博士學位。他是查爾斯·斯圖爾特大學 (Charles Sturt University) 人工智慧與數位健康技術的項目負責人。他同時也是美國華盛頓科技大學 (Washington University of Science & Technology) 的研究教授，以及澳大利亞昆士蘭大學 (University of Queensland) 人工智慧與數位健康技術實驗室的組長和負責人。他的研究興趣包括人工智慧驅動的健康數據應用、人工智慧啟用的可攜式設備開發和生物資訊學。

曼諾蘭詹·保羅教授 (Professor Manoranjan Paul) 是一位經驗豐富的人工智慧研究者，擔任計算機科學教授、計算機視覺實驗室主任，以及查爾斯·斯圖爾特大學 (Charles Sturt University, CSU) 機器視覺與數位健康 (Machine Vision and Digital Health, MAVIDH) 研究小組的負責人。他是一位獲獎的研究者，例如在2017年獲得澳大利亞計算機學會 (Australian Computer Society, ACS) 的年度研究者，並被列入澳大利亞最佳計算機科學家名單，以及前2%科學家 (Elsevier & Stanford)。他的研究興趣包括人工智慧、視頻壓縮、量子計算、機器視覺和數位健康。

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