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Libro
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Disruptive Developments in Biomedical Applications
shinde swati v. (curatore); mahalle parikshit n. (curatore); bendre varsha (curatore); castillo oscar (curatore)
182,98 €
173,83 €
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NOTE EDITORE
This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis. Features: Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications. Reviews medical image analysis, disease detection, and prediction. Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs). Presents state-of-the-art research in the field of biomedical engineering using various physiological signals. Explores different bio sensors used in healthcare applications using IOT. This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.SOMMARIO
Chapter 1: Recent advances of Artificial Intelligence (AI) for Nanobiomedical applications: Trends, Challenges and future prospectsDr. J. G. Gujar, Dr. Sonali Kadam and Dr. U. D. Patil Chapter 2: Medical Imaging modalities and different image processing techniques- State of the Art ReviewLalitha S, Sanjana T and Bhavana H T Chapter 3: Prognosis and diagnosis of disease using AI/ML techniquesSandhya KV and Jithu Jerin James Chapter 4: AI Based Approach For Brain Tumor Detection And ClassificationShweta Pandav and Dr. Lenina SVB Chapter 5: Prediction & Classification of Alzheimer’s Disease using Machine Learning ModelsDr. Deepa N. Reddy, Santrupti M Bagali, Sanjana Dathathri, Priyanka R and Sara M N Chapter 6: Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)Renu Kachhoria and Neha Baranwal Chapter 7: Case study on Oropharyngeal Cancer Prediction and Diagnosis and Management based upon MRI, CT scan imaging techniques.Pallavi Bhosle, Hujeb Pathan , Ganesh Tapadiya and Md. Irshad Alam Chapter 8: Introduction to Smart Healthcare using IoMTDr. Varsha Bendre and Dr. Deepti Khurge Chapter 9: A Webcam-based Belt-System for Respiratory and Chest-expansion MeasurementsRAMESH R GALIGEKERE, Niveditha, Rohan Gupta, Anup Bhat, Kalyana Chakravarthy Bairapareddy and Rahul MagazineChapter 10: A Novel Data Analysis Framework in Smart City HealthcareSwapnaja Hiray and Ravi Bhramaramba Chapter 11: Evolution of Automatic Epilepsy Detection and Classification Techniques: A SurveyNeeta Hemant Chapatwala and Dr. Chirag N. Paunwala Chapter 12: Evaluation of Boosting Algorithms for P300 Detection in EEG SignalsSubhash Tatale, Dr.Priyanka Jain, Dr.Nivedita Bhirud, Rutuja Pote, Vinaya Kumar, Purvi Sampat and N.K.Jain Chapter 13: Comprehensive Study of Brain Computer Interface(BCI) with emphasis on Signal Processing StrategiesDr. Vrushali Ganesh Raut, Dr.Pranoti P. Mane and Dr. S. O.Rajankar Chapter 14: Fetal Electrocardiogram Extraction using Adaptive Filters ApproachDr. Manjiri A. Ranjanikar, Dr. Sagar V. Joshi, Dr. Jaishri M. Waghmare, Dr. Swati Shinde and Dr. Rachana Y. Patil Chapter 15: Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals : A Systematic ReviewKetan Sanjay Desale and Dr. Swati Shinde Chapter 16: Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age GroupsAnjali C. Birajdar and Dr. Vijaya R. Thool Chapter 17: Electronic Health Records: Need, Challenges and Future scopeDr. Priya Makarand Shelke and Dr. Jayashri Vitthalrao Bagade Chapter 18: Role of EHR in cancer detection: need, challenges and future scope of EHRPratiksha R Deshmukh and Rashmi Phalnikar Chapter 19: Implantable Pacemaker Low Power Telemetry UnitSantosh D. Chede Chapter 20: Recent Advances in Drug Delivery Systems: MEMS PerspectiveBhavana H T, Dr. M. Anantha Sunil, Sanjana T and B Harshitha Chapter 21: Estimating the Blood-vessel Response to Vaso-active Agents by Microscope Video Image ProcessingRAMESH R GALIGEKERE, Dr. Rohit Nayak and Dr. Mikkel Brydegaard Chapter 22: Organ Donation and Transplantation Challenges, Opportunities and Role of BlockchainDr. Rachana Yogesh Patil, Yogesh H. Patil, Dr. Sujeet Kumar Gupta and Dr. Aparna BannoreAUTORE
Dr. Swati V. Shinde has completed Ph.D. in Computer Science and Engineering, from Swami Ramanand Teerth Marathwada University, Nanded. She has a total 22 years of teaching experience and currently she is working as a Professor of Computer Engineering and Dean-Research & Developments in Pimpri Chinchwad College of Engineering (PCCoE), Pune. She has worked as a HOD-IT for seven years in PCCoE. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network and Fuzzy Logic. She has published 85+ research papers in reputed conferences and journals. Two of these are published in the prestigious SCI indexed Science Q1 Elsevier journals. She received the five Best Paper Awards in different IEEE Conferences. She has filed five research patents. She has received the DST grant of almost Rs. 36 lakhs for the research project. She also has received the research grant of SPPU University, Pune, International FDP grant by SPPU and also the conference grant by AICTE. She is the certified trainer and ambassador ofNVDIA’sDeep Learning Institute. She was conferred with the "Dr. APJ Abdul Kalam Women Achievers Award" by IItechBanglore. She was awarded the Indo Global Engineering Excellence Award by Indo Global Chamber of Commerce Industries and agriculture. She has delivered 20+ research talks in various workshops, STTPs, etc. Currently she is a SPPU approved PhD supervisor and guiding four PhD research scholars. Prof. Dr. P. N. Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 22 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 9 patents, 200+ research publications (Google Scholar citations-2020 plus, H index-21 and Scopus Citations are 986 with H index -14) and authored/edited 40+ books. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is a recognized PhD guide of SSPU, Pune, and guiding 7 PhD students in the area of IoT and machine learning. Recently, four students have successfully defended their PhD. He is also the recipient of "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level. He is also the recipient of the best faculty award by Cognizant Technology Solutions. Dr. Varsha Bendre received her Bachelor’s degree in Electronics and Telecommunication Engineering from Saint Gadge Baba Amravati University, Amravati and M.E degree from Savitribai Phule Pune University in 2000 and 2010 respectively. After M.E, she completed her Ph.D. in the area of Nanotechnology and Low Power VLSI from Savitribai Phule Pune University, Pune, and Maharashtra, India in Jan 2020. The area of her research work is analog circuit design at very deep submicron technology using Carbon Nanotube Field Effect Transistors. She has published 5 research papers in various SCI/Scopus indexed journals and 30 research papers in peer reviewed international conferences. She has a total teaching experience of 18 years and is currently working as an Associate Professor at Pimpri Chinchwad College of Engineering, Pune. She has worked as a reviewer of various SCI listed journals such as International Journal of Electronics and Letters for the IEEE Transactions on Circuits and Systems II: Express Briefs. She also worked as a reviewer for various international conferences like The IEEE International Symposium on Circuits and Systems, (ISCAS-2020), International Conference on Pervasive Computing 2020, (ICPC –2020), IEEE International Conference on Microelectronics, Computing and Communication (MicroCom2016), 6th International Conference on Cloud Computing and Big Data Engineering (Confluence 2016) and International Conference on Computing, Communication, Control and Automation (ICCUBEA 2015, 2016, 2017, 2018, 2019). Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation "Soft Computing and Fractal Theory for Intelligent and Manufacturing"). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. In addition, he is serving as Research DiALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9781032224701
- Dimensioni: 10 x 7 in Ø 1.82 lb
- Formato: Copertina rigida
- Illustration Notes: 149 b/w images, 43 tables, 25 halftones and 124 line drawings
- Pagine Arabe: 344
- Pagine Romane: xvi