Paper Info
Title
A Spa-Weighted Arrhythmias-Risks ValuatING (SAVING) Algorithm and Tested in WE-CARE 2.0.
Abstract
Ventricular tachyarrhythmia, in particular Ventricular Fibrillation (VF), is the primary arrhythmic event to cause Sudden Cardiac Death (SCD). Thus, the quick and accurate detection of a VF event is crucial for capturing the life-threat cardiac arrhythmias in real time. However, almost all existing VF detection algorithms are challenged by low accuracy or/and high complexity. To address this challenge, a Successive Projections Algorithm (SPA)-weighted Arrhythmias-risk ValuatING (SAVING) algorithm is proposed, in which SPA method is first applied to valuate arrhythmias-risk clinical features with using fisher criterion. Clinical trials show that it can obtain accuracy (Ac) of 96.81%, sensitivity (Se) of 95.41%, and specificity (Sp) of 97.15% in our WE-CARE 2.0 system. Compared to conventional algorithms, clinical tests demonstrate that the SAVING algorithm achieves comparative gains, which is a useful tool that can be embedded into WE-CARE systems and Automatic External Defibrillators.
Year
Venue
Keywords
2016
IEEE Global Communications Conference
Ventricular Fibrillation (VF) Detection,Feature Selection (FS),SPA-weighted Arrhythmias-risks ValuatING (SAVING),Wearable Efficient teleCARdiology systEm 2.0 (WE-CARE 2.0),Clinical Trials
Field
DocType
ISSN
Approximation algorithm,Algorithm design,Ventricular fibrillation,Computer science,Support vector machine,Algorithm,Feature extraction,Sudden cardiac death,Real-time computing,Electrocardiography,Statistical classification
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Yaxing Qiu100.68
Anpeng Huang215121.31
Bingli Jiao31812109.33