Number of the records: 1  

Taming of the monitors: reducing false alarms in intensive care units

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    SYSNO ASEP0464045
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleTaming of the monitors: reducing false alarms in intensive care units
    Author(s) Plešinger, Filip (UPT-D) RID, ORCID, SAI
    Klimeš, Petr (UPT-D) RID, ORCID, SAI
    Halámek, Josef (UPT-D) RID, ORCID, SAI
    Jurák, Pavel (UPT-D) RID, ORCID, SAI
    Number of authors4
    Source TitlePhysiological Measurement. - : Institute of Physics Publishing - ISSN 0967-3334
    Roč. 37, č. 8 (2016), s. 1313-1325
    Number of pages13 s.
    Publication formPrint - P
    Languageeng - English
    CountryGB - United Kingdom
    KeywordsECG ; critical care ; arrhythmia ; intensive care unit ; ICU monitor ; false alarm ; beat detection
    Subject RIVFS - Medical Facilities ; Equipment
    R&D ProjectsGAP102/12/2034 GA ČR - Czech Science Foundation (CSF)
    LO1212 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    ED0017/01/01 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportUPT-D - RVO:68081731
    UT WOS000380815200009
    EID SCOPUS84980009810
    DOI10.1088/0967-3334/37/8/1313
    AnnotationFalse alarms in intensive care units represent a serious threat to patients. We propose a method for detection of five live-threatening arrhythmias. It is designed to work with multimodal data containing electrocardiograph and arterial blood pressure or photoplethysmograph signals. The presented method is based on descriptive statistics and Fourier and Hilbert transforms. It was trained using 750 records. The method was validated during the follow-up phase of the CinC/Physionet Challenge 2015 on a hidden dataset with 500 records, achieving a sensitivity of 93 percent (95 percent) and a specificity of 87 percent (88 percent) for real-time (retrospective) files. The given sensitivity and specificity resulted in score of 81.62 (84.96) for real-time (retrospective) records. The presented method is an improved version of the original algorithm awarded the first and the second prize in CinC/Physionet Challenge 2015.
    WorkplaceInstitute of Scientific Instruments
    ContactMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Year of Publishing2017
Number of the records: 1  

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