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Assessment of the classification capability of prediction and approximation methods for HRV analysis

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Assessment of the classification capability of prediction and approximation methods for HRV analysis (EN)
Manis, G (EN)
Nikolopoulos, S (EN)
Davos, C (EN)
Alexandridi, A (EN)
journalArticle (EN)
2014-03-01T01:25:57Z
2007 (EN)
The goal of this paper is to examine the classification capabilities of various prediction and approximation methods and suggest which are most likely to be suitable for the clinical setting. Various prediction and approximation methods are applied in order to detect and extract those which provide the better differentiation between control and patient data, as well as members of different age groups. The prediction methods are local linear prediction, local exponential prediction, the delay times method, autoregressive prediction and neural networks. Approximation is computed with local linear approximation, least squares approximation, neural networks and the wavelet transform. These methods are chosen since each has a different physical basis and thus extracts and uses time series information in a different way. (c) 2006 Elsevier Ltd. All rights reserved. (EN)
Computer Science, Interdisciplinary Applications (EN)
Engineering, Biomedical (EN)
Biology (EN)
Mathematical & Computational Biology (EN)
artificial neural network (EN)
Age Factors (EN)
Humans (EN)
Middle Aged (EN)
Male (EN)
Heart Failure, Congestive (EN)
Approximation methods (EN)
Cardiogram classification (EN)
Fourier Analysis (EN)
Coronary Disease (EN)
Time Factors (EN)
heart rate variability (EN)
Electrocardiography (EN)
Medical computing (EN)
Adult (EN)
Female (EN)
priority journal (EN)
female (EN)
human (EN)
Neural Networks (Computer) (EN)
Wavelet transforms (EN)
Cardiovascular system (EN)
normal human (EN)
Heart Rate (EN)
Approximation (EN)
Least squares approximations (EN)
Prediction (EN)
ECG (EN)
Linear Models (EN)
Forecasting (EN)
article (EN)
Bioelectric potentials (EN)
Patient monitoring (EN)
controlled study (EN)
mathematical computing (EN)
Neural networks (EN)
Heart rate variability (HRV) (EN)
prediction (EN)
Least-Squares Analysis (EN)
Aged (EN)
Mean error (EN)
adult (EN)
Heart rate variability (EN)
male (EN)
waveform (EN)
Electrocardiography, Ambulatory (EN)
Computers in Biology and Medicine (EN)
English
PERGAMON-ELSEVIER SCIENCE LTD (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
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