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Disruptive Developments in Biomedical Applications [Kõva köide]

Edited by (PCCE, Pune, India), Edited by (Tijuana Institute of Technology, Tijuana, Mexico), Edited by (VIIT, Pune), Edited by (Pimpri Chinchwad College of Engineering, Pune, India)
  • Formaat: Hardback, 344 pages, kõrgus x laius: 254x178 mm, kaal: 821 g, 43 Tables, black and white; 124 Line drawings, black and white; 25 Halftones, black and white; 149 Illustrations, black and white
  • Ilmumisaeg: 22-Dec-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032224703
  • ISBN-13: 9781032224701
  • Formaat: Hardback, 344 pages, kõrgus x laius: 254x178 mm, kaal: 821 g, 43 Tables, black and white; 124 Line drawings, black and white; 25 Halftones, black and white; 149 Illustrations, black and white
  • Ilmumisaeg: 22-Dec-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032224703
  • ISBN-13: 9781032224701
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.
Editor Biographies ix
List of Contributors
xi
Preface xv
PART I AI/ML for Biomedical Applications
Chapter 1 Recent Advances of Artificial Intelligence (AI) for Nanobiomedical Applications: Trends, Challenges, and Future Prospects
3(14)
J. G. Gujar
Sonali Kadam
Ujwal D. Patil
Chapter 2 Medical Imaging Modalities and Different Image Processing Techniques: State of the Art Review
17(20)
S. Lalitha
T. Sanjana
H. T. Bhavana
Ishan Bhan
G. Harshith
Chapter 3 Prognosis and Diagnosis of Disease Using AI/ML Techniques
37(16)
K. V. Sandhya
Jithu Jerin James
Chapter 4 AI-Based Approach for Brain Tumor Detection and Classification
53(14)
Shweta Pandav
Dr. Lenina
Chapter 5 Prediction and Classification of Alzheimer's Disease Using Machine Learning Models
67(8)
Santrupti M. Bagali
S. Sanjana
R. Priyanka
Sara Sadiya
Deepa N. Reddy
Chapter 6 Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)
75(16)
Neha Baranwal
Preethi Doravari
Renu Kachhoria
Chapter 7 Case Study on Oropharyngeal Cancer Prediction and Diagnosis and Management Based Upon MRI, CT Scan Imaging Techniques
91(18)
Pallavi Bhosle
Hujeb Pathan
Ganesh Tapadiya
Md. Irshad Alam
PART II IOT and Smart Healthcare
Chapter 8 Introduction to Smart Healthcare Using IoMT
109(18)
Varsha Bendre
Deepti Khurge
Chapter 9 A Webcam-Based Belt-System for Respiratory and Chest-Expansion Measurements
127(20)
Niveditha
Rohan Gupta
Anup Bhat
Kalyana Chakravarthy Bairapareddy
Rahul Magazine
Ramesh R. Galigekere
Chapter 10 Novel Data Analysis Framework in Smart City Healthcare
147(14)
Swapnaja Hiray
Bhramaramba Ravi
PART III Bio-Signal Processing
Chapter 11 Evolution of Automatic Epilepsy Detection and Classification Techniques: A Survey
161(12)
Neeta Hemant Chapatwala
Dr. Chirag N. Paunwala
Chapter 12 Evaluation of Boosting Algorithms for P300 Detection in EEG Signals
173(16)
Priyanka Jain
Subhash Tatale
Dr. Nivedita Bhirud
Rutuja Pote
Vinaya Kumar
Purvi Sampat
N. K. Jain
Chapter 13 Comprehensive Study of Brain-Computer Interface (BCI) with Emphasis on Strategies Used for Processing the Signals
189(14)
Vrushati Ganesh Raut
Pranoti P. Mane
Supriya O. Rajankar
Chapter 14 Fetal Electrocardiogram Extraction Using Adaptive Filters Approach
203(26)
Manjiri A. Ranjanikar
Sagar V. Joshi
Jaishri M. Waghmare
Swati V. Shinde
Rachana Y. Patil
Chapter 15 Detection of Heart Functioning Abnormalities (Arrhythmia) Using ECG Signals: A Systematic Review
229(12)
Ketan Sanjay Desale
Swati V. Shinde
Vaishnavi Patil
Parth Shrivastava
Chapter 16 Heart Rate Variability Analysis in Healthy Male Subjects with Comprehensive Age Groups
241(18)
Anjali C. Birajdar
Vijaya R. Thool
PART IV Electronic Health Records
Chapter 17 Electronic Health Records: Need, Challenges, and Future Scope
259(16)
Priya M. Shelke
J. V. Bagade
Chapter 18 Role of EHR in Cancer Detection: Need, Challenges, and Future Scope of EHR
275(10)
Pratiksha R. Deshmukh
Rashmi Phalnikar
PART V Recent Devlopement in Biomedical Applications
Chapter 19 Implantable Pacemaker Low Power Telemetry Unit
285(14)
Santosh D. Chede
Chapter 20 Recent Advances in Drug Delivery Systems: MEMS Perspective
299(12)
H. T. Bhavana
M. Anantha Sunil
T. Sanjana
B. Harshitha
Chapter 21 Estimating the Blood-Vessel Response to Vaso-Active Agents by Microscope Video Image Processing
311(14)
Rohit Nayak
Mikkel Brydegaard
Ramesh R. Galigekere
Chapter 22 Organ Donation and Transplantation Challenges, Opportunities, and the Role of Blockchain
325(16)
Rachana Y. Patil
Yogesh H. Patil
Sujeet Kumar Gupta
Aparna Bannore
Index 341
Swati V. Shinde, Oscar Castillo