Results 121 to 130 of about 629 (156)

ECG CLASSIFICATION COMPARISON BETWEEN MF-DFA AND MF-DXA

Fractals, 2021
In this paper, automatic electrocardiogram (ECG) recognition and classification algorithms based on multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DXA) were studied. As human heart is a complex, nonlinear, chaotic system, using multifractal analysis to analyze chaotic systems is also a ...
JIAN WANG, WEI SHAO, JUNSEOK KIM
openaire   +1 more source

Combining MF-DFA and LSSVM for retina images classification

Biomedical Signal Processing and Control, 2020
Abstract Diabetic retinopathy is the main cause of blindness in adults. Early diagnosis of diabetic retinopathy is essential for avoiding deterioration of illness and vision loss. The use of computer technology to identify diabetic retinopathy images provides significant means to reduce the risk of deterioration.
Jian Wang, Wei Shao, Junseok Kim
openaire   +1 more source

Performance improvement of MF-DFA on feature extraction of skin lesion images

Modern Physics Letters B, 2023
In this paper, we propose an improved algorithm based on the original two-dimensional (2D) multifractal detrended fluctuation analysis (2D MF-DFA) that involves increasing the number of cumulative summations in the computational steps of 2D MF-DFA. The proposed method aims to modify the distribution of the generalized Hurst exponent to ensure that ...
Jian Wang   +6 more
openaire   +1 more source

Traffic Flow Volume Fluctuation Analysis using MF-DFA

International Conference on Transportation Engineering 2009, 2009
Abundant observations have shown that road traffic flow contains complex fluctuations. One frequently mentioned question is: whether traffic flow belongs to 1/f fluctuation and in which time-scale region the 1/f fluctuation appears? The answer to this problem is useful, since it may help to distinguish the implicit short-range/long-range correlation ...
Yin Wang   +5 more
openaire   +1 more source

Cryptocurrency momentum effect: DFA and MF-DFA analysis

Physica A: Statistical Mechanics and its Applications, 2019
Abstract Cryptocurrency has experienced the skyrocketing and falling back in 2018. Beyond the hype, the specific price movements of different cryptocurrencies should be investigated in a more careful way. Since the cryptocurrency market is a non-linear complex system which are not suitable analyzed by tradition methods, this paper introduces methods ...
Qing Cheng, Xinyuan Liu, Xiaowu Zhu
openaire   +1 more source

AUTOMATED CLASSIFICATION FOR BRAIN MRIS BASED ON 2D MF-DFA METHOD

Fractals, 2020
Magnetic resonance image (MRI) is an important tool to diagnose human diseases effectively. It is very important for research and clinical application to classify the normal and abnormal human brain MRI images automatically. In this paper, an accurate and efficient technique is proposed to extract features of MRIs and classify these images into normal
JIAN WANG, WEI SHAO, JUNSEOK KIM
openaire   +1 more source

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