Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical images

This book explores the role of artificial Intelligence in Telemedicine, focusing on computational algorithms for biosignal and medical image processing. It discusses noise removal in ECG signals, classification of ECG signals, EEG signal analysis for stroke detection, EMG signal analysis for gesture classification, and applications of CNN in pertussis diagnosis, physician handwriting recognition, melanoma detection, and pneumonia detection. The second section focuses on IoT and artificial intelligence in the healthcare sector, including smart health care, disease diagnosis and prediction, 5G/6G in the pandemic scenario, wireless capsule endoscopy image compression, leukemia detection from microscopic cell images, and genomic signal processing.

Format: Hardback
Length: 268 pages
Publication date: 01 August 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the intricate realm of artificial intelligence (AI) in telemedicine, offering a detailed exploration of its role in healthcare. Through a rigorous analysis and processing of biosignals, physiological parameters, and medical images, the book elucidates the core concepts of AI in this field.

The book is organized into two sections, each dedicated to exploring different aspects of AI's impact on telemedicine.

The first section focuses on the application of computational algorithms in the processing of biosignals, physiological parameters, and medical images. It discusses innovative techniques such as noise removal in electrocardiogram (ECG) signals, the classification of ECG signals for cardiac arrhythmia detection using convolutional neural networks (CNNs), the analysis of electroencephalograph (EEG) signals for stroke detection, and the extraction of meaningful information from electromyograph (EMG) signals for gesture classification.

Furthermore, the section explores the use of CNNs in pertussis diagnosis by temperature monitoring, physician handwriting recognition using deep learning models, melanoma detection based on ABCD parameters, and the application of transfer learning-enabled heuristic approaches for pneumonia detection. These applications demonstrate the immense potential of AI in healthcare, particularly in disease diagnosis and treatment planning.

The second section of the book delves into the role of the Internet of Things (IoT) and artificial intelligence (AI) in the healthcare sector. It discusses the integration of IoT devices in smart healthcare and the various applications of AI in disease diagnosis and prediction. The importance of 5G/6G networks in the pandemic scenario for telemedicine applications, wireless capsule endoscopy image compression, leukemia detection from microscopic cell images, and genomic signal processing using numerical mapping techniques are explored in depth.

This book serves as a valuable resource for a wide range of users, including students, research scholars, faculty, and practitioners in the field of engineering. Its comprehensive coverage of AI in telemedicine makes it an essential tool for those seeking to advance their knowledge and expertise in this rapidly evolving field. By leveraging the power of AI, telemedicine has the potential to revolutionize healthcare, providing personalized and efficient care to patients worldwide.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032309316