[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Sudden cardiac risk stratification with electrocardiographic indices-a review on computational processing, technology transfer, and scientific evidence

FJ Gimeno-Blanes, M Blanco-Velasco… - Frontiers in …, 2016 - frontiersin.org
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 …

The detonation heat prediction of nitrogen-containing compounds based on quantitative structure-activity relationship (QSAR) combined with random forest (RF)

T He, W Lai, M Li, Y Feng, Y Liu, T Yu, H Tang… - Chemometrics and …, 2021 - Elsevier
The detonation heat is the main performance index of ammunition used in air-to-air and
underwater weapons. In the present work, a method for predicting the detonation heat …

Efficient solution for frequency band decomposition problem using wavelet packet in HRV

S Bilgin, OH Çolak, E Koklukaya, N Arı - Digital Signal Processing, 2008 - Elsevier
Heart rate variability (HRV) is a very significant noninvasive tool for assessment of
sympathovagal balance (SB) that reflects variation of parasympathetic and sympathetic …

Kalp HIZI Değişkenliğinin Dalgacık Dönüşümü ve Yapay Sinir Ağları Kullanılarak Analizi

S Bilgin - 2008 - search.proquest.com
Dalgacık dönüşümü biyomedikal işaretler gibi durağan olmayan işaretlerin analizinde
kullanılan en önemli metotlardan biridir. Kalp hızı değişkenliği (KHD) işaretleri, içerisinde …

[PDF][PDF] HRV analysis using wavelet package transform and least square support vector machine

G Kheder, A Kachouri, M Samet - Int. J. Circuits, Syst. Signal Process, 2008 - academia.edu
In this study we are interested in the feature extraction of HRV which includes Ventricular
Fibrillation (VF) and ventricular tachycardia (VT) and its classification by the least square …

[PDF][PDF] Efficient HRV analysis using wavelet package transform

G Kheder, A Kachouri, M Samet - Circuits, Systems and Signals …, 2008 - academia.edu
In this study we are interested in the feature extraction of HRV which includes Ventricular
Fibrillation (VF) and ventricular tachycardia (VT). Since the DWT analysis of the HRV causes …

Detection of frequency sub-bands on Heart Rate Variability in Supra-ventricular Tachyarrhythmia patients using artificial neural networks

S Bilgin, G Bilgin, OH Colak… - 2009 14th National …, 2009 - ieeexplore.ieee.org
Supra-ventricular Tachyarrhythmia (SVTA) called as disturbances of heart around atria and
Atrioventricular (AV) node is one of the most common heart arrhythmias. Heart Rate …

[PDF][PDF] Prediction of the Electric Field Emissions around the High-voltage Power Lines using Neural Network Algorithms

HF Carlak, S Ozen - Proceedings of the 2nd World Congress on Electrical …, 2016 - Citeseer
In this study, Artificial Neural Network (ANN) Algorithms are used to estimate the electric field
around the power transmission lines as an alternative approach. Firstly, electric field levels …

An efficient method for correction of ectopic beats in RR intervals

OH Colak - Fluctuation and Noise Letters, 2008 - World Scientific
This study presents an efficient method based on principal component analysis (PCA) to
remove ectopic beats in RR intervals. The method is focused on variation of slopes at each …