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False arrhythmia alarm suppression using ECG, ABP, and photoplethysmogram

Authors :
Roger G. Mark and Lauren J. Kessler.
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Deshmane, Anagha Vishwas
Roger G. Mark and Lauren J. Kessler.
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Deshmane, Anagha Vishwas
Publication Year :
2010

Abstract

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br />This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br />Cataloged from student-submitted PDF version of thesis.<br />Includes bibliographical references (p. 91-93).<br />A signal quality assessment scheme for the photoplethysmogram waveform recorded by a pulse oximeter has been created. The signal quality algorithm uses statistical methods on time-series and spectral analysis to locate high-frequency segments of the photoplethysmogram waveform. A photoplethysmogram pulse onset detector has been implemented for heart rate estimation. Application of the signal quality metric and photoplethysmogram pulse onset detector are demonstrated in an algorithm which suppresses false electrocardiogram critical arrhythmia alarms issued by bedside monitors in hospital intensive care units.<br />by Anagha Vishwas Deshmane.<br />M.Eng.

Details

Database :
OAIster
Notes :
93 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1143338518
Document Type :
Electronic Resource