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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Roger G. Mark.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Duh, Shin-Ning, 1979-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-09-26T20:38:28Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2005-09-26T20:38:28Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2003</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 95).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This paper details the research, design, and implementation of a computer system built to archive electrograms and related patient data from implantable cardioverter defibrillators (ICDs) produced by Medtronic in particular. The archive will provide a central and stable repository for researchers looking for data originally stored in the ICDs. The Web interface to the system provides an easy means of searching for patients or episodes of interest. The database will also provide the functionality for appending comments onto a particular episode. Furthermore, the system allows the physicians to directly upload data from the ICDs into the database. Automatic detection and expansion functions will also allow data from new models and current models that have been modified to be inserted properly into the database.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Shin-Ning Duh.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">An automated web-based searchable archive for implantable cardioverter defibrillator data</dim:field>
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   	&lt;Title>An automated web-based searchable archive for implantable cardioverter defibrillator data&lt;/Title>
   	&lt;Subtitle>Database systems for embedded data from implantable cardioverter defibrillators&lt;/Subtitle>
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   	&lt;Abstract>This paper details the research, design, and implementation of a computer system built to archive electrograms and related patient data from implantable cardioverter defibrillators (ICDs) produced by Medtronic in particular. The archive will provide a central and stable repository for researchers looking for data originally stored in the ICDs. The Web interface to the system provides an easy means of searching for patients or episodes of interest. The database will also provide the functionality for appending comments onto a particular episode. Furthermore, the system allows the physicians to directly upload data from the ICDs into the database. Automatic detection and expansion functions will also allow data from new models and current models that have been modified to be inserted properly into the database.&lt;/Abstract>
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