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Trends in biomedical signal feature extraction
Signal analysis involves identifying signal behaviour, extracting linear and non-linear
properties, compression or expansion into higher or lower dimensions, and recognizing …
properties, compression or expansion into higher or lower dimensions, and recognizing …
Sudden cardiac risk stratification with electrocardiographic indices-a review on computational processing, technology transfer, and scientific evidence
Great effort has been devoted in recent years to the development of sudden cardiac risk
predictors as a function of electric cardiac signals, mainly obtained from the …
predictors as a function of electric cardiac signals, mainly obtained from the …
A T-wave alternans assessment method based on least squares curve fitting technique
X Wan, Y Li, C ** in electrograms
Electrograms (EGM) recorded from the surface of the myocardium are becoming more and
more accessible. T-wave alternans (TWA) is associated with increased vulnerability to …
more accessible. T-wave alternans (TWA) is associated with increased vulnerability to …
Benchmarking of a T-wave alternans detection method based on empirical mode decomposition
Background and objective: T-wave alternans (TWA) is a fluctuation of the ST-T complex
occurring on an every-other-beat basis of the surface electrocardiogram (ECG). It has been …
occurring on an every-other-beat basis of the surface electrocardiogram (ECG). It has been …
Functional connectivity changes during a working memory task in rat via NMF analysis
J Wei, W Bai, T Liu, X Tian - Frontiers in behavioral neuroscience, 2015 - frontiersin.org
Working memory (WM) is necessary in higher cognition. The brain as a complex network is
formed by interconnections among neurons. Connectivity results in neural dynamics to …
formed by interconnections among neurons. Connectivity results in neural dynamics to …