Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical Images
暫譯: 遠程醫療中的人工智慧：生物信號與醫學影像的處理
Kumar, S. N., Zafar, Sherin, Babulak, Eduard
相關主題
商品描述
This book explores the role of artificial Intelligence in Telemedicine. It explains the concepts through the detailed study and processing of biosignals, physiological parameters, and medical images. The book focuses on computational algorithms in telemedicine for the processing of biosignals, physiological parameters, and medical Images. The book is presented in two section.
The first section presents the role of computational algorithms in the processing of biosignal and medical images for disease diagnosis and treatment planning. Noise removal in ECG signal using an improved adaptive learning approach, classification of ECG signals using CNN for cardiac arrhythmia detection, EEG signal analysis for stroke detection, and EMG signal analysis for gesture classification were discussed in this section. Application of CNN in pertussis Diagnosis by temperature monitoring, physician handwriting recognition using deep learning model, melanoma detection using ABCD parameters, and transfer learning enabled heuristic approach for pneumonia detection was also discussed in this section
The second section focus on the role of IoT and artificial intelligence in the healthcare sector. IoT in smart health care and applications of artificial intelligence in disease diagnosis and prediction was discussed in this section. The importance of 5G/6G in the pandemic scenario for telemedicine applications, wireless capsule endoscopy image compression, leukemia detection from the microscopic cell images, and genomic signal processing using numerical mapping techniques was also discussed in this section.
This book can be used by a wide range of users including students, research scholars, faculty, and practitioners in the field of engineering for applications in biomedical signal, image analysis, and diagnosis.
商品描述(中文翻譯)
這本書探討了人工智慧在遠程醫療中的角色。它通過對生物信號、生理參數和醫學影像的詳細研究和處理來解釋這些概念。該書專注於遠程醫療中用於生物信號、生理參數和醫學影像處理的計算演算法。書籍分為兩個部分。
第一部分介紹了計算演算法在生物信號和醫學影像處理中的作用，以進行疾病診斷和治療計劃。本部分討論了使用改進的自適應學習方法進行心電圖（ECG）信號的噪聲去除、使用卷積神經網絡（CNN）對心電圖信號進行分類以檢測心律不整、腦電圖（EEG）信號分析以檢測中風，以及肌電圖（EMG）信號分析以進行手勢分類。本部分還討論了使用CNN進行百日咳診斷的溫度監測、使用深度學習模型進行醫生手寫識別、利用ABCD參數進行黑色素瘤檢測，以及轉移學習啟用的啟發式方法進行肺炎檢測。
第二部分專注於物聯網（IoT）和人工智慧在醫療保健領域的角色。本部分討論了物聯網在智慧健康照護中的應用以及人工智慧在疾病診斷和預測中的應用。本部分還討論了5G/6G在疫情情境下對遠程醫療應用的重要性、無線膠囊內視鏡影像壓縮、從顯微細胞影像中檢測白血病，以及使用數值映射技術進行基因組信號處理。
這本書適合廣泛的讀者，包括學生、研究學者、教職員和工程領域的從業者，應用於生物醫學信號、影像分析和診斷。
作者簡介
Dr.S. N Kumar is currently an Associate. Professor, Dept. of Electrical and Electronics Engineering., Amal Jyothi College of Engineering, Kanjirappally, Kerala. He was awarded PhD in Electronics and Communication Engineering from Sathyabama Institute of Science and Technology, Chennai. He has 15 years of teaching experience, and his areas of interest include Medical Image Processing and Embedded System Applications in Telemedicine. He was the Co-Principal Investigator of the DST IDP-funded project and research fellow of the RCA scheme, NTU Singapore.
Dr. Sherin Zafar is an Assistant Professor, Computer Science and Engineering at the School of Engineering Sciences & Technology, Jamia Hamdard with a decade of successful experience in teaching and research management. She specializes in Wireless Networks, Soft Computing, and Network Security and has great profile in Scopus, Mendeley, Google Scholar, Research Gate and Publons. With about half-century of papers published in Scopus, SCI and peer reviewed journals double century of papers reviewed and also Editorial Board and Editor in Chief of many reputed and Scopus indexed journals. Has published 3 patents on Block Chain technology, Co-PI for FIST project of DST and Pi for 2 Unnat Bharat projects. A strong believer in the power of positive thinking in the workplace, Dr. Sherin regularly develops internship and career campaigns for students through Internshala and Epoch (Literary and Cultural Society) Groups and guided huge number of graduate, post graduate and also PhD students. Dr Sherin has been session chairs for 7+ international conferences, keynote speaker, resource person for 100+ webinars and FDP's for renowned institutions, AICTE STTP and for AICTE ATAL FDP. Sherin enjoys a good Netflix and Cricket binge but can also be found on long drives rides on country roads."
Dr Eduard Babulak is an accomplished international scholar, researcher, consultant, educator, professional engineer, and polyglot with more than thirty years of teaching experience and industrial experience as a professional engineer and consultant.
Dr Mohammad Afshar Alam is currently working as Vice-Chancellor and Professor, Dean of School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi. His research areas include Software Re-engineering, Data Mining, Bio-Informatics, Fuzzy databases, and Sustainable Development.
Dr Farheen has a professional experience spanning over more than 20 years of teaching, research and project supervision. She has supervised more than 100 students for interdisciplinary research and project supervision. She has many research papers published in renowned national and international journals and conference proceedings. Apart from this she is also a member of editorial board of many journals. Her primary area of research is Data analytics, Cloud computing and Semantic Web.
作者簡介(中文翻譯)
Dr. S. N Kumar 目前是印度喀拉拉邦 Kanjirappally 的 Amal Jyothi 工程學院電機與電子工程系的副教授。他在 Chennai 的 Sathyabama 科學與技術學院獲得電子與通信工程的博士學位。他擁有 15 年的教學經驗，研究興趣包括醫學影像處理和遠程醫療中的嵌入式系統應用。他曾擔任 DST IDP 資助項目的共同首席研究員，並且是新加坡南洋理工大學 RCA 計劃的研究員。
Dr. Sherin Zafar 是 Jamia Hamdard 工程科學與技術學院的計算機科學與工程助理教授，擁有十年的成功教學和研究管理經驗。她專注於無線網絡、軟計算和網絡安全，並在 Scopus、Mendeley、Google Scholar、Research Gate 和 Publons 上擁有優秀的學術表現。她在 Scopus、SCI 和同行評審期刊上發表了約半世紀的論文，並審閱了超過兩百篇論文，同時擔任多本知名和 Scopus 索引期刊的編輯委員會成員及主編。她在區塊鏈技術上發表了 3 項專利，並擔任 DST 的 FIST 項目的共同首席研究員及 2 個 Unnat Bharat 項目的首席研究員。Dr. Sherin 相信積極思考在工作場所的力量，定期通過 Internshala 和 Epoch（文學與文化協會）組織為學生開展實習和職業活動，並指導了大量的本科生、研究生及博士生。Dr. Sherin 曾擔任 7 次以上國際會議的會議主席，並擔任多場知名機構的主題演講者、資源人員，參與超過 100 場網絡研討會和 FDP，AICTE STTP 和 AICTE ATAL FDP。Sherin 喜歡在 Netflix 上觀看影集和板球，但也常常在鄉間道路上進行長途駕駛。
Dr. Eduard Babulak 是一位成就卓越的國際學者、研究人員、顧問、教育工作者、專業工程師和多語言者，擁有超過三十年的教學和工業經驗，作為專業工程師和顧問。
Dr. Mohammad Afshar Alam 目前擔任新德里 Jamia Hamdard 工程科學與技術學院的副校長和教授。他的研究領域包括軟體重工程、資料挖掘、生物資訊學、模糊資料庫和可持續發展。
Dr. Farheen 擁有超過 20 年的教學、研究和項目監督的專業經驗。她已指導超過 100 名學生進行跨學科研究和項目監督。她在知名的國內外期刊和會議論文集中發表了多篇研究論文。此外，她還是多本期刊的編輯委員會成員。她的主要研究領域是資料分析、雲計算和語義網。
