{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/119739"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/119739","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Waveform-to-patient matching across room transfers in the emergency department","abstract":"In the emergency department (ED), patients are often continuously monitored for physiologic deterioration. Signals used include electrocardiograms (ECGs), blood pressure waveforms, and respiratory waveforms. Due to the fast-paced and ambulatory nature of care in the ED, patient location is not always synchronized with waveform collection. The aim of our work is to link disparate waveforms belonging to the same patient. We utilize approximate admission and discharge times available from the ED administration database to delineate patient stays. We then use waveform-derived features of the ECG to link together sequential signals which are separated by variable time delays. The ultimate goal is to construct an openly available database of ED records with linked waveforms to stimulate research in emergency medicine.","abstract_html":"In the emergency department (ED), patients are often continuously monitored for physiologic deterioration. Signals used include electrocardiograms (ECGs), blood pressure waveforms, and respiratory waveforms. Due to the fast-paced and ambulatory nature of care in the ED, patient location is not always synchronized with waveform collection. The aim of our work is to link disparate waveforms belonging to the same patient. We utilize approximate admission and discharge times available from the ED administration database to delineate patient stays. We then use waveform-derived features of the ECG to link together sequential signals which are separated by variable time delays. The ultimate goal is to construct an openly available database of ED records with linked waveforms to stimulate research in emergency medicine.","abstract_has_math":false,"creators":["Li, Andrea (Andrea Shao-Yin)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Roger Mark."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-22T22:21:06Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/119739"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: M. Eng. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.","This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 61-62)."]},{"key":"dc:description.abstract","label":"Abstract","values":["In the emergency department (ED), patients are often continuously monitored for physiologic deterioration. Signals used include electrocardiograms (ECGs), blood pressure waveforms, and respiratory waveforms. Due to the fast-paced and ambulatory nature of care in the ED, patient location is not always synchronized with waveform collection. The aim of our work is to link disparate waveforms belonging to the same patient. We utilize approximate admission and discharge times available from the ED administration database to delineate patient stays. We then use waveform-derived features of the ECG to link together sequential signals which are separated by variable time delays. The ultimate goal is to construct an openly available database of ED records with linked waveforms to stimulate research in emergency medicine."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng. in Computer Science"]},{"key":"dc:title","label":"Title","values":["Waveform-to-patient matching across room transfers in the emergency department"]}]}],"canonical_facts":{"dc:contributor.advisor":["Roger Mark."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Li, Andrea (Andrea Shao-Yin)"],"dc:date.accessioned":["2018-12-18T19:47:58Z"],"dc:date.available":["2018-12-18T19:47:58Z"],"dc:date.issued":["2018"],"dc:description":["Thesis: M. Eng. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.","This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 61-62)."],"dc:description.abstract":["In the emergency department (ED), patients are often continuously monitored for physiologic deterioration. Signals used include electrocardiograms (ECGs), blood pressure waveforms, and respiratory waveforms. Due to the fast-paced and ambulatory nature of care in the ED, patient location is not always synchronized with waveform collection. The aim of our work is to link disparate waveforms belonging to the same patient. We utilize approximate admission and discharge times available from the ED administration database to delineate patient stays. We then use waveform-derived features of the ECG to link together sequential signals which are separated by variable time delays. The ultimate goal is to construct an openly available database of ED records with linked waveforms to stimulate research in emergency medicine."],"dc:description.degree":["M. Eng. in Computer Science"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/119739"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Waveform-to-patient matching across room transfers in the emergency department"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:06Z"}