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An ontology-based system for represe...

Dendamrongvit, Thidarat.

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An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data./
作者:	Dendamrongvit, Thidarat.
面頁冊數:	152 p.
附註:	Adviser: Richard Billo.
Contained By:	Dissertation Abstracts International67-03B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3209406
ISBN:	9780542576591

An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data.
Dendamrongvit, Thidarat.

An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data. - 152 p.

Adviser: Richard Billo.

Thesis (Ph.D.)--Oregon State University, 2006.

Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. There is a need to have an independent platform to support ECG processes among different resources for the purposes of improving the quality of health care and proliferating the results from research. Currently, ECG devices are proprietary. Devices from different manufacturers cannot communicate with each other. It is crucial to have an open standard to manage ECG data for representation and diagnosis.

ISBN: 9780542576591Subjects--Topical Terms:

626642
Computer Science.

An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data.
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520 $a Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. There is a need to have an independent platform to support ECG processes among different resources for the purposes of improving the quality of health care and proliferating the results from research. Currently, ECG devices are proprietary. Devices from different manufacturers cannot communicate with each other. It is crucial to have an open standard to manage ECG data for representation and diagnosis.
520 $a This research explores methods for representation and diagnosis of ECG by developing an Ontology for shared ECG data based on the Health Level Seven (HL7) standard. The developed Ontology bridges the conceptual gap by integrating ECG waveform data, HL7 standard data descriptions, and cardiac diagnosis rules. The Ontology is encoded in Extensible Markup Language (XML) providing human and machine readable format. Thus, the interoperability issue is resolved and ECG data can be shared among different ECG devices and systems.
520 $a This developed Ontology also provides a mechanism for diagnostic decision support through an automated ECG diagnosis system for a medical technician or physician in the diagnosis of cardiac disease. An experiment was conducted to validate the interoperability of the Ontology, and also to assess the accuracy of the diagnosis model provided through the Ontology. Results showed 100% interoperability from ECG data provided through eight different databases, and a 93% accuracy in diagnosis of normal and abnormal cardiac conditions.
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