Xinyu Tong's Books

Wireless Localization Techniques

By: Xiaohua Tian,Xinyu Tong,Xinbing Wang

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Wireless Localization Techniques

By: Xiaohua Tian,Xinyu Tong,Xinbing Wang

This book first presents a systematic theoretical study of wireless localization techniques. Then, guided by the theoretical results, the authors provide design approaches for improving the performance of localization systems and making the deployment of the systems more convenient. The book aims to address the following issues: how reliable the wireless localization system can be; how the system can scale up with the number of users to be served; how to make key design decisions in implementing the system; and how to mitigate human efforts in deploying the wireless localization system. The book is relevant for researchers, academics, and students interested in wireless localization technology.

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Page Count

377

Publisher

Springer Nature

Published Date

ISBN 10

3031211782

ISBN 13

9783031211782

Sensor-Based Sleep Stage Classification Using Deep Learning

By: Xinyu Huang

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Sensor-Based Sleep Stage Classification Using Deep Learning

By: Xinyu Huang

Sleep is a cyclic physiological phenomenon, an important aspect of human life activity, which, like sport and diet, is a nutritional element that ensures the growth and development of the organism. Under the influence of various factors such as work and study stress and metabolic disorders, more and more people suffer from various types of sleep disorders. Sleep has become an important research topic in recent years. Sleep stage analysis plays an important role in the early detection and treatment of sleep disorders. However, different age groups show different symptoms of sleep disorders, and different sleep disorders show variability in their different sleep stages. The prevalence of sleep disorders is much higher in children than in adults. Although the classification of sleep stages in adults has been well studied, children show markedly different characteristics of sleep stages. Therefore, there is an urgent need for sleep stage classification in children. With the rapid development of intelligent computing technology, artificial intelligence has found wide application in medical research and health sciences in recent years. In the field of sleep medicine, deep learning approaches can efficiently and automatically learn abstracted relevant sleep features from collected sleep data to accurately interpret children's sleep stages accordingly. Compared to traditional sleep data analysis, this saves many manual and time resources for data annotation and helps sleep experts reduce the risk of misdiagnosing sleep disorders based on their prior knowledge. In this context, this book presents several advanced deep learning-based approaches for sleep stage classification in children using time series polysomnography recordings acquired from clinical sensor devices. Significantly improved performance in classifying sleep stages in children suffering from sleep disorders demonstrates the great potential of joint research and development between artificial intelligence and the field of sleep medicine.

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Page Count

173

Publisher

Logos Verlag Berlin GmbH

Published Date

ISBN 10

3832556176

ISBN 13

9783832556174

Wireless Localization Techniques

By: Xiaohua Tian,Xinyu Tong,Xinbing Wang

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Wireless Localization Techniques

By: Xiaohua Tian,Xinyu Tong,Xinbing Wang

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

377

Publisher

Springer Nature

Published Date

ISBN 10

3031211782

ISBN 13

9783031211782

Book's by Xinyu Tong

Wireless Localization Techniques

Wireless Localization Techniques

Sensor-Based Sleep Stage Classification Using Deep Learning

Sensor-Based Sleep Stage Classification Using Deep Learning

Wireless Localization Techniques

Wireless Localization Techniques

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