Advanced Technologies in Healthcare: AI, Signal Processing, Digital Twins and 5G - Tapa blanda

Acerca del autor

Dr. Shuli

Guo , the full Professor of the Beijing Institute of Technology, Beijing China.

Prof. Shuli

Guo was born in 1973 in Inner Mongolia, P.R. China. He received his Bachelor

Degree (1995), Master Degree (1998) from Inner Mongolia Normal University, and

his Ph.D. Degree from Peking University (2001). Dr. Guo worked as a

postdoctoral researcher from Jan. 2002 to Apr. 2004 at Tsinghua University, as

a researcher fellow from January 2008 to September 2008 at Akita Prefectural

University, and as a postdoctoral researcher from September 2008 to September

2009 at Oxford University.

Prof.Guo is

interested in the following fields such as classical control theory and

application, medical image processing, medical data analysis, typical chronic

disease analysis and remote medical monitoring. Recently, he has published

nearly 70 impactful papers,  3

monorgraphs, 34 authorized Chinese patents, 15 authorized software copyrights,

and he has published 3 Chinese national standards and handed in 9 Chinese

national standards/industrial standards for approval. Simultaneously, he

obtained one third prize for military medical achievements, one third prize of

science and technology of the Chinese Medical Association and one third prize

of Beijing Medical Science and Technology. More than 60 post-graduate students

from global have graduated, and he is the member of Chinese national technical

committee for professional standardization(2021-2026) and the head of China

geriatric disease standardized diagnosis and treatment society of

CAGG(2018-2023) ,and the chief expert of Chinese national key research and development

program(2017-2021).

De la contraportada

This book explores the applications of cutting-edge technologies such as AI, blockchain, signal processing, digital twin technology, and 5G communication technology in healthcare. The writing style combines diagrams, tables, formulae, and text to enhance readability. The content combines theoretical analysis and medical application in every chapter. This book presents several innovative methods, including an AI-based computer-aided diagnosis system, a blockchain-based AI system framework for healthcare, pre-processing algorithms for medical imaging, digital twin models for healthcare, a healthcare platform based on cloud, fog, and edge computing, and a personal health device domain information model. This book will be valuable for researchers, engineers, and post-graduate students in the fields of medicine management and software engineering.