Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical Images

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.

本書探討了人工智慧在遠距醫療中的角色。通過對生物信號、生理參數和醫學影像的詳細研究和處理，解釋了相關概念。本書重點介紹了遠距醫療中的計算算法，用於處理生物信號、生理參數和醫學影像。本書分為兩個部分。

第一部分介紹了計算算法在疾病診斷和治療計劃中處理生物信號和醫學影像的角色。該部分討論了使用改進的自適應學習方法去除心電圖信號中的噪音，使用卷積神經網絡對心律失常進行分類，腦電圖信號分析用於中風檢測，以及肌電圖信號分析用於手勢分類。該部分還討論了使用卷積神經網絡通過溫度監測進行百日咳診斷，使用深度學習模型進行醫生筆跡識別，使用ABCD參數進行黑色素瘤檢測，以及使用轉移學習啟用的啟發式方法進行肺炎檢測。

第二部分聚焦於物聯網和人工智慧在醫療領域的作用。該部分討論了智能醫療中的物聯網和人工智慧應用，以及疾病診斷和預測中的人工智慧應用。該部分還討論了在疫情情景中5G/6G在遠距醫療應用中的重要性，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。

本書適用於廣泛的用戶，包括工程領域的學生、研究學者、教師和從業人員，用於生物醫學信號、影像分析和診斷的應用。

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.

Dr.S. N Kumar目前是阿馬爾喬蒂工程學院電氣與電子工程系的副教授。他在印度喀拉拉邦的Sathyabama科學與技術學院獲得了電子與通訊工程的博士學位。他擁有15年的教學經驗，他的研究興趣包括醫學影像處理和嵌入式系統在遠程醫療中的應用。他曾擔任DST IDP資助項目的共同首席調查員，並擔任新加坡NTU的研究員。

Dr. Sherin Zafar是印度哈姆達德大學工程科學與技術學院計算機科學與工程的助理教授，擁有十年的成功教學和研究管理經驗。她專攻無線網絡、軟計算和網絡安全，在Scopus、Mendeley、Google Scholar、Research Gate和Publons等平台上有很好的學術成果。她在Scopus、SCI和同行評審期刊上發表了近50篇論文，並擔任多個知名期刊的編輯委員會成員和主編。她在區塊鏈技術方面發表了3項專利，是DST的FIST項目的共同首席調查員，也是2個Unnat Bharat項目的負責人。作為一個對積極思考在工作場所的力量深信不疑的人，Sherin博士經常通過Internshala和Epoch（文學和文化協會）團體為學生開展實習和職業活動，並指導了大量的本科、研究生和博士生。Sherin博士曾擔任7個國際會議的會議主席、主題演講嘉賓，並為100多個網絡研討會和FDP（教師發展計劃）的資源人，包括著名機構、AICTE STTP和AICTE ATAL FDP。Sherin博士喜歡看Netflix和板球比賽，但也喜歡在鄉村道路上長途駕車。

Dr Eduard Babulak是一位卓越的國際學者、研究員、顧問、教育家、專業工程師和多語言者，擁有三十多年的教學經驗和作為專業工程師和顧問的工業經驗。

Dr Mohammad Afshar Alam目前擔任印度新德里哈姆達德大學工程科學與技術學院副校長、教授和院長。他的研究領域包括軟件重構、數據挖掘、生物信息學、模糊數據庫和可持續發展。

Dr Farheen在教學、研究和項目監督方面擁有超過20年的專業經驗。她指導了100多名跨學科研究和項目監督的學生。她在國內外知名期刊和會議論文集上發表了許多研究論文。除此之外，她還是多個期刊的編輯委員會成員。她的主要研究領域是數據分析、雲計算和語義網。