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Titlebook: Internet of Things (IoT) Technologies for HealthCare; 4th International Co Mobyen Uddin Ahmed,Shahina Begum,Jean-Baptiste Fas Conference pr

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书目名称Internet of Things (IoT) Technologies for HealthCare
副标题4th International Co
编辑Mobyen Uddin Ahmed,Shahina Begum,Jean-Baptiste Fas
视频videohttp://file.papertrans.cn/473/472460/472460.mp4
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Internet of Things (IoT) Technologies for HealthCare; 4th International Co Mobyen Uddin Ahmed,Shahina Begum,Jean-Baptiste Fas Conference pr
描述.This book constitutes the proceedings of the Fourth International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2017, held in Angers, France, in October 2017. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 17 revised full papers presented were carefully reviewed and selected from 23 submissions. The papers cover topics such as healthcare support for the elderly, real-time monitoring systems, security, safety and communication, smart homes and smart caring environments, intelligent data processing and predictive algorithms in e-Health, emerging e-Health IoT applications, signal processing and analysis , the smartphones as a healthy thing, machine learning and deep learning, and cloud computing..
出版日期Conference proceedings 2018
关键词artificial intelligence; sensors; internet; Internet of Things (IoT); sensor; user interfaces; ubiquitous
版次1
doihttps://doi.org/10.1007/978-3-319-76213-5
isbn_softcover978-3-319-76212-8
isbn_ebook978-3-319-76213-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
The information of publication is updating

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An RFID Based Activity of Daily Living for Elderly with Alzheimer’sd lies in its simplicity to detect the motion of elderly from one room to another for monitoring activity of daily living (ADL) and sending alert in case of an onset of emergency without the need for using massive sensors. The system was tested successfully in the lab and achieved an efficiency of 88%.
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Automatic Detector of Abnormal EEG for Preterm Infants Burst Intervals (IBI). Features were extracted from bursts and IBI and were then classified as Abnormal or Normal using a Multiple Linear Regression. The method was successfully validated on a corpus of 100 infants with no early indication of brain injury. It was also implemented with a user-friendly interface using Java.
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Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transportor cloud-based data analysis, categorization and metrics correlation in real-time through a H2020 project called SimuSafe. Initial implementation of this methodology shows a step-by-step approach which can handle huge amount of data with variation and verity in the cloud.
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Conference proceedings 2018, held in Angers, France, in October 2017. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 17 revised full papers presented were carefully reviewed and selecte
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