False Alarms in Intensive Care Unit Monitors: Detection of Life-threatening Arrhythmias using Elementary Algebra, Descriptive Statistics and Fuzzy Logic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F15%3A00456397" target="_blank" >RIV/68081731:_____/15:00456397 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/15:PU118886

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

False Alarms in Intensive Care Unit Monitors: Detection of Life-threatening Arrhythmias using Elementary Algebra, Descriptive Statistics and Fuzzy Logic

Popis výsledku v původním jazyce

Aims: A false alarm ratio of up to 86 percent has been reported in Intensive Care Unit (ICU) monitors. Such a high value can lead to reduced staff attention and patient deprivation. We present a method for detection of specific arrhythmias ? asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia and ventricular flutter / fibrillation ? in accordance with the ?2015 Physionet/CinC Challenge. Data: The method was trained with the use of 750 records and tested on 500 records from ICUs provided by Physionet. Method: Invalid data segments are detected in each of the channels. Next, QRS complexes and RR intervals are found in all signals using a different QRS detection approach according to the signal source. The RR series obtained are tested for regular heart activity; if this fails, an arrhythmia-specific test is processed. Tests for individual arrhythmias are based on examination of QRS temporal distribution, comparison of heart rate (HR) with known limits, and observa

Název v anglickém jazyce

False Alarms in Intensive Care Unit Monitors: Detection of Life-threatening Arrhythmias using Elementary Algebra, Descriptive Statistics and Fuzzy Logic

Popis výsledku anglicky

Aims: A false alarm ratio of up to 86 percent has been reported in Intensive Care Unit (ICU) monitors. Such a high value can lead to reduced staff attention and patient deprivation. We present a method for detection of specific arrhythmias ? asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia and ventricular flutter / fibrillation ? in accordance with the ?2015 Physionet/CinC Challenge. Data: The method was trained with the use of 750 records and tested on 500 records from ICUs provided by Physionet. Method: Invalid data segments are detected in each of the channels. Next, QRS complexes and RR intervals are found in all signals using a different QRS detection approach according to the signal source. The RR series obtained are tested for regular heart activity; if this fails, an arrhythmia-specific test is processed. Tests for individual arrhythmias are based on examination of QRS temporal distribution, comparison of heart rate (HR) with known limits, and observa

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computing in Cardiology 2015. Vol. 42

ISBN

978-1-5090-0685-4

ISSN

2325-8861

e-ISSN

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Počet stran výsledku

4

Strana od-do

281-284

Název nakladatele

Computing in Cardiology

Místo vydání

Cambridge

Místo konání akce

Nice

Datum konání akce

6. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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