Fr. 157.00

Wireless Mobile Communication and Healthcare - 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13-14, 2021, Proceedings

Englisch · Taschenbuch

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Beschreibung

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This book constitutes the refereed post-conference proceedings of the 10th International Conference on Mobile Communication and Healthcare, MobiHealth 2021, held in November 2021. Due to Covid-19 pandemic the conference was held virtually.

Inhaltsverzeichnis

A Health Status Evaluation Method for Chronic Disease Patients Based on Multivariate State Estimation Technique Using Wearable Physiological Signals: a Preliminary Study.-Security and privacy concerns for healthcare wearable devices and emerging alternative approaches.- Medical, Communications and Networking 3 A CNN-based Computer Vision Interface for Prosthetics' control.- A Deep Learning - Based Dessert Recognition System for Automated Dietary Assessment.- Detection of Epilepsy Seizures based on Deep Learning with Attention Mechanism.- Edge-Computing System based on Smart Mat for Sleep Posture Recognition in IoMT.- Retinal Vessel Segmentation using Multi-scale Generative Adversarial Network with Class Activation Mapping.- Robust Intent Classification using Bayesian LSTM for Clinical Conversational Agents (CAs) .- Biomedical, and Health Informatics.-  Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression.- An accurate and cost-effective approach towards real-time eye movement angle estimation.- Adaptive distance sensing in contact tracing applications through indoor/outdoor detection.- Development and Validation of Algorithms for Sleep Stage Classification and Sleep Apnea/Hypopnea Event Detection Using a Medical-grade Wearable Physiological Monitoring System.- eHealthCare - A medication monitoring approach for the elderly people.- A pilot mHealth project for monitoring vital body signals and skin conditions.- Detection of Multiple Small Moving Targets against Complex Ground Background.- A two-stream model combining ResNet and Bi-LSTM networks for non-contact dynamic electrocardiogram signal quality assessment.- Tell It Your Way: Technology-mediated Human-Human Multimodal Communication.
 

Produktdetails

Mitarbeit Xinbo Gao (Herausgeber), Lei Guo (Herausgeber), Abbas Jamalipour (Herausgeber)
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 01.01.2022
 
EAN 9783031063671
ISBN 978-3-0-3106367-1
Seiten 360
Abmessung 155 mm x 20 mm x 235 mm
Illustration XI, 360 p. 140 illus., 118 illus. in color.
Serie Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Thema Naturwissenschaften, Medizin, Informatik, Technik > Medizin > Allgemeines

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