eBook - ePub

Artificial Intelligence in Telemedicine

Name: Artificial Intelligence in Telemedicine
Author: S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, Farheen Siddiqui, S. N. Kumar,Sherin Zafar,Eduard Babulak,M. Afshar Alam,Farheen Siddiqui

Processing of Biosignals and Medical images

268 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Artificial Intelligence in Telemedicine

Processing of Biosignals and Medical images

About this book

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.

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Yes, you can access Artificial Intelligence in Telemedicine by S. N. Kumar, Sherin Zafar, Eduard Babulak, M. Afshar Alam, Farheen Siddiqui, S. N. Kumar,Sherin Zafar,Eduard Babulak,M. Afshar Alam,Farheen Siddiqui in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.