complexity-measure-based approach to detect life threatening cardiac arrhythmias using first-order difference of electrocardiogram signals
نویسندگان
چکیده
the aim of this study is to evaluate how far lempel-ziv complexity (lzc) of the binary symbolic sequences resulting from static or dynamic transformation (partitioning first-order difference) of the short-term electrocardiogram (ecg) signals (only 2 seconds duration) has the potential in discriminating normal and ventricular tachycardia/ventricular fibrillation (vt/vf) subjects. the statistical analyses show that lzc from either transformation is sufficient to distinguish between normal and vt/vf subjects. between the two, lzc of dynamic transformation is found to outperform lzc of static transformation. the receiver operating characteristic curve analysis confirms the robustness of this new approach which exhibits an average sensitivity of about 99.1% (100.0%), specificity of about 100.0% (100.0%), precision of around 98.9% (100.0%), and accuracy of about 99.5% (100.0%), with lzcto distinguish between normal and vt (vf) subjects. the presented method is simple, computationally efficient, and well suited for real time implementation in automatic external or implantable cardioverter-defibrillators.
منابع مشابه
A new approach to detect Life threatening cardiac arrhythmias using Sequential spectrum of Electrocardiogram signals
This study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ECG) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (VT/VF). The raw ECG time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
متن کاملA new approach to detect Life threatening cardiac arrhythmias using Sequential spectrum of Electrocardiogram signals
This study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ECG) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (VT/VF). The raw ECG time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
متن کاملa new approach to detect life threatening cardiac arrhythmias using sequential spectrum of electrocardiogram signals
this study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ecg) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (vt/vf). the raw ecg time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
متن کاملA new approach to detect Life threatening cardiac arrhythmias using Sequential spectrum of Electrocardiogram signals
This study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ECG) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (VT/VF). The raw ECG time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...
متن کاملEntropy-Based Algorithm to Detect Life Threatening Cardiac Arrhythmias Using Raw Electrocardiogram Signals
Ventricular tachycardia or fibrillation (VT-VF) as fatal cardiac arrhythmia is the major cause leading to sudden cardiac death. It is crucial for the patient to receive immediate medical intervention when either VT or VF occurs. The aim of this study is to investigate the possibility of predicting ventricular arrhythmia from electrocardiogram (ECG) signals. We use symbolic dynamics together wit...
متن کاملA New Approach to Detect Congestive Heart Failure Using Symbolic Dynamics Analysis of Electrocardiogram Signal
The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
journal of advances in computer researchناشر: sari branch, islamic azad university
ISSN 2345-606X
دوره 6
شماره 3 2015
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023