Paper Info
Title
Towards Continuous Electrocardiogram Monitoring Based on Rules and Ontologies
Abstract
Based on rules and ontologies, this paper proposes a framework for predicting types of arrhythmia from electro-cardiogram (ECG) signals acquired using a BSN node. Using terms in an ECG signal ontology, ECG signals are annotated by locating the positions of elementary waves, including their onset, offset, and peak positions. Rules are used for extracting features, e.g., heart rate, PR intervals, RR intervals, and QRS intervals, from annotated signals. An arrhythmia indicator ontology is constructed in order to define concepts representing different characteristics of ECG waveforms, which are then used for defining necessary and sufficient conditions for arrhythmia classification of signal portions. Using standard semantic web ontology and rule languages, i.e., OWL and SWRL, for rule and ontology representation, knowledge content in this framework can be integrated with other existing knowledge sources for retrieval of related information, e.g., recommended treatment.
Year
DOI
Venue
2011
10.1109/BIBE.2011.61
BIBE
Keywords
Field
DocType
ecg signal ontology,arrhythmia classification,ecg waveform,ecg signal,arrhythmia indicator ontology,annotated signal,towards continuous electrocardiogram monitoring,existing knowledge source,standard semantic web ontology,knowledge content,ontology representation,rhythm,knowledge based system,feature extraction,ontologies,owl,semantic web,ontology
Ontology (information science),Continuous electrocardiogram monitoring,Data mining,Ontology,Computer science,Knowledge-based systems,Semantic Web,Feature extraction,QRS complex,Offset (computer science)
Conference
Citations 
PageRank 
References 
2
0.44
0
Authors
3
Name
Order
Citations
PageRank
Tanatorn Tanantong120.44
Ekawit Nantajeewarawat231538.32
Surapa Thiemjarus319215.64