Paper Info
Title
Semantic sleep management service in healthcare sensor networks
Abstract
In this paper, we propose a semantic sleep management service using healthcare sensors(blood pressure, blood sugar, body temperature, snoring, sleep apnea) and private health information(age, gender, weight, smoking amount and drinking quantity). The proposed service finds the best private sleep pattern by acquiring sensor observations, providing analysis results of private sleep trend by analyzing data gathered from a heterogeneous individual healthcare sensors and private health information in order to enhance sleep quality of each individual. To this end, we use newly-made sleep management sensor to detect the snoring time and the number of sleep apnea and use semantic web technologies to represent standard specification and processing of sensor networks using ontologies that allow representation of structural properties of event types and constraints between them.
Year
DOI
Venue
2014
10.1109/ICCE.2014.6775999
ICCE
Keywords
Field
DocType
biochemistry,blood,haemodynamics,medical information systems,medical signal detection,medical signal processing,ontologies (artificial intelligence),pressure sensors,semantic web,sleep,temperature sensors,blood pressure,blood sugar,body temperature,drinking quantity,healthcare sensor networks,ontologies,patient age,patient gender,patient weight,private health information,semantic sleep management service,sleep apnea,sleep management sensor,smoking amount,snoring,structural properties
Data science,Data mining,Sleep apnea,Computer science,Sleep pattern,Semantic Web,Artificial intelligence,Sleep quality,Health care,Ontology (information science),Computer vision,Wireless sensor network,Health information
Conference
ISSN
Citations 
PageRank 
2158-3994
1
0.63
References 
Authors
0
5
Name
Order
Citations
PageRank
soonhyun kwon1254.40
Dong-Hwan Park23212.01
Hyo-Chan Bang34610.39
jangho park410.63
Young-Tack Park510010.10