FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912453743> ?p ?o ?g. }

• W2912453743 endingPage "15884" @default.
• W2912453743 startingPage "15869" @default.
• W2912453743 abstract "Sudden cardiac death (SCD) is caused by lethal arrhythmia. Ventricular fibrillation (VF) and ventricular tachycardia (VT) are amenable to defibrillation or electrical shock therapy (“shockable” arrhythmia) that can abolish the VF/VT and restore normal electrical and mechanical heart function. The challenge is to differentiate between shockable and non-shockable arrhythmia during the emergency response to SCD. When it comes to saving the life, accurate electrocardiogram (ECG) diagnosis and fast delivery of appropriate treatment is imperative. Automated systems to differentiate shockable from non-shockable arrhythmia have been developed to overcome the difficulty, and possible errors due to the manual inspection. In the present work, we have devised an efficient, effective and robust automated system to detect shockable and non-shockable arrhythmia using an optimal wavelet-based features extracted from ECG epochs of 2 s durations. We employed optimal two-channel frequency selective orthogonal wavelet filter bank to diagnose shockable ventricular arrhythmia. The optimization was carried out by minimizing the stop band ripple energy of the wavelet filter. The optimal orthogonal wavelet filter has been designed using a semi-definite programming (SDP) formulation without the use of any parameterization. The SDP solution gave us the desired optimal orthogonal wavelet filter bank with minimum stop band energy and the desired degree of regularity for the given length of filter. Fuzzy entropy and Renyi entropy features were extracted from the 2-s ECG epochs. These extracted features were then fed into the classifiers for discrimination of shockable arrhythmia rhythms and non-shockable arrhythmia rhythms. The best results were obtained from support vector machine. Accuracy of 97.8%, sensitivity of 93.42%, and specificity of 98.35% were obtained using a tenfold cross validation scheme. The developed automated system is accurate and robust; therefore, it can be integrated in automated external defibrillators that can be deployed for hospitals as well as out-of-hospital emergency resuscitation of SCD." @default.
• W2912453743 created "2019-02-21" @default.
• W2912453743 creator A5021720735 @default.
• W2912453743 creator A5027649343 @default.
• W2912453743 creator A5057990837 @default.
• W2912453743 date "2019-02-13" @default.
• W2912453743 modified "2023-09-30" @default.
• W2912453743 title "Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters" @default.
• W2912453743 cites W161660362 @default.
• W2912453743 cites W1965551074 @default.
• W2912453743 cites W1969502919 @default.
• W2912453743 cites W1982605242 @default.
• W2912453743 cites W1982969737 @default.
• W2912453743 cites W1993138825 @default.
• W2912453743 cites W2000364692 @default.
• W2912453743 cites W2002445875 @default.
• W2912453743 cites W2017106402 @default.
• W2912453743 cites W2029718020 @default.
• W2912453743 cites W2033200329 @default.
• W2912453743 cites W2055629468 @default.
• W2912453743 cites W2071437755 @default.
• W2912453743 cites W2094788367 @default.
• W2912453743 cites W2095409369 @default.
• W2912453743 cites W2095428098 @default.
• W2912453743 cites W2100260657 @default.
• W2912453743 cites W2104756045 @default.
• W2912453743 cites W2107541057 @default.
• W2912453743 cites W2118176501 @default.
• W2912453743 cites W2122671679 @default.
• W2912453743 cites W2139977380 @default.
• W2912453743 cites W2152297663 @default.
• W2912453743 cites W2154233447 @default.
• W2912453743 cites W2154828071 @default.
• W2912453743 cites W2162800060 @default.
• W2912453743 cites W2164104048 @default.
• W2912453743 cites W2167673381 @default.
• W2912453743 cites W2170796559 @default.
• W2912453743 cites W2232157279 @default.
• W2912453743 cites W2280482073 @default.
• W2912453743 cites W2554037086 @default.
• W2912453743 cites W2556445044 @default.
• W2912453743 cites W2558317411 @default.
• W2912453743 cites W2560897477 @default.
• W2912453743 cites W2565892404 @default.
• W2912453743 cites W2598587204 @default.
• W2912453743 cites W2614578122 @default.
• W2912453743 cites W2702116941 @default.
• W2912453743 cites W2745699887 @default.
• W2912453743 cites W2748902594 @default.
• W2912453743 cites W2755507768 @default.
• W2912453743 cites W2759483166 @default.
• W2912453743 cites W2767076830 @default.
• W2912453743 cites W2790222081 @default.
• W2912453743 cites W2795340004 @default.
• W2912453743 cites W2800664479 @default.
• W2912453743 cites W2802503051 @default.
• W2912453743 cites W2809558661 @default.
• W2912453743 cites W2866637366 @default.
• W2912453743 cites W2884238387 @default.
• W2912453743 cites W2884483862 @default.
• W2912453743 cites W2884790510 @default.
• W2912453743 cites W2886967057 @default.
• W2912453743 cites W2887851123 @default.
• W2912453743 cites W2889838428 @default.
• W2912453743 cites W2890628112 @default.
• W2912453743 cites W2893820882 @default.
• W2912453743 cites W2907615080 @default.
• W2912453743 cites W4251225685 @default.
• W2912453743 cites W4255272544 @default.
• W2912453743 cites W566646381 @default.
• W2912453743 doi "https://doi.org/10.1007/s00521-019-04061-8" @default.
• W2912453743 hasPublicationYear "2019" @default.
• W2912453743 type Work @default.
• W2912453743 sameAs 2912453743 @default.
• W2912453743 citedByCount "26" @default.
• W2912453743 countsByYear W29124537432019 @default.
• W2912453743 countsByYear W29124537432020 @default.
• W2912453743 countsByYear W29124537432021 @default.
• W2912453743 countsByYear W29124537432022 @default.
• W2912453743 countsByYear W29124537432023 @default.
• W2912453743 crossrefType "journal-article" @default.
• W2912453743 hasAuthorship W2912453743A5021720735 @default.
• W2912453743 hasAuthorship W2912453743A5027649343 @default.
• W2912453743 hasAuthorship W2912453743A5057990837 @default.
• W2912453743 hasBestOaLocation W29124537431 @default.
• W2912453743 hasConcept C153180895 @default.
• W2912453743 hasConcept C154945302 @default.
• W2912453743 hasConcept C164705383 @default.
• W2912453743 hasConcept C2776331378 @default.
• W2912453743 hasConcept C2777795826 @default.
• W2912453743 hasConcept C2779161974 @default.
• W2912453743 hasConcept C2781005686 @default.
• W2912453743 hasConcept C2988455589 @default.
• W2912453743 hasConcept C41008148 @default.
• W2912453743 hasConcept C47432892 @default.
• W2912453743 hasConcept C71924100 @default.
• W2912453743 hasConceptScore W2912453743C153180895 @default.
• W2912453743 hasConceptScore W2912453743C154945302 @default.

• next