Higuchi Fractal Properties of Onset Epilepsy Electroencephalogram

Khoa, Truong Quang Dang; Ha, Vo Quang; Toi, Vo Van

doi:10.1155/2012/461426

Cited by 39 publications

(31 citation statements)

References 9 publications

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“…As the reconstruction of the attractor phase space is unnecessary, the algorithm is simpler and faster than the Correlation Dimension [43,44]. Khoa et al [45] describe the algorithm mathematically, adapted below.…”

Section: Higuchi Fractal Dimension (Hfd)mentioning

confidence: 99%

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

et al. 2018

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Previous studies have described significant impact of different types of noise on the linear behavior of heart rate variability (HRV). However, there are few studies regarding the complexity of HRV during exposure to traffic noise. In this study, we evaluated the complexity of HRV during traffic noise exposure. We analyzed 31 healthy female students aged between 18 and 30 years. Volunteers remained at rest seated under spontaneous breathing during 10 minutes with an earphone turned off, and then they were exposed to traffic noise through an earphone for a period of 10 minutes. The traffic noise was recorded from a very busy city street and the sound was comprised of car, bus, and trucks engines and horn (71-104 dB). We observed no significant changes in the linear analysis of HRV. CFP3 (Cohen's = 1.28, large effect size) and CFP6 (Cohen's = 1.11, large effect size) parameters of chaotic global analysis and Shannon (Cohen's = 1.13, large effect size), Renyi (Cohen's = 1.06, large effect size), and Tsallis (Cohen's = 1.14, large effect size) entropies significantly increased ( < 0.005) during traffic noise exposure. In conclusion, traffic noise under laboratory conditions increased the complexity of HRV through chaotic global analysis and some measures of entropy in healthy females.

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Section: Higuchi Fractal Dimension (Hfd)mentioning

confidence: 99%

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

et al. 2018

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show abstract

“…In this study the cardiac autonomic modulation was examined by the Higuchi Fractal Dimension al-gorithm [11][12][13][14][15][16][17][18][19] . In previous studies, a similar computation, correlation dimension (D 2 ) [20][21][22][23] had been applied.…”

Section: Introductionmentioning

confidence: 99%

Higuchi fractal dimension applied to RR intervals in children with Attention Defi cit Hyperactivity Disorder

Wajnsztejn

Carvalho

Garner

et al. 2016

J. Hum. Growth Dev.

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Background: Attention defi cit hyperactivity disorder (ADHD) is categorized by a lowered attention span, recklessness, and hyperactivity. Autonomic nervous system inequality has previously been studied using the same data by chaotic global techniques. We aim to compare the autonomic function of children with ADHD and controls by analyzing heart rate variability (HRV). Methods: 28 children with ADHD (22 boys, mean age 10.0 years ± 1.9 years) and 28 controls (15 boys, mean age 9.9 years ± 1.8 years) rested in supine position with spontaneous breathing for 20 minutes. Heart rate was recorded beat by beat. HRV analysis was performed by Higuchi Fractal Dimension technique. Results: ADHD promoted an increase in the Higuchi Fractal Dimension. The optimum value of K max was 10. Conclusion: ADHD signifi cantly altered cardiac autonomic modulation as measured by the Higuchi fractal dimension of HRV. It can therefore be stated that ADHD has increased the complexity of the HRV signal through cardiac autonomic modulation.

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“…Khoa et al 41 presented the algorithm and we adapt it below for RR intervals. It is based on a measure of length, L(k), of the curve that represents the considered time-series while using a segment of k samples as a unit, if L(k) scales in the following manner:…”

Section: Higuchi Fractal Dimension (Hfd)mentioning

confidence: 99%

Complex measurements of heart rate variability in obese youths: distinguishing autonomic dysfunction

Garner¹,

Vanderlei²,

Vanderlei³

2018

J. Hum. Growth Dev.

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Introduction: Heart rate variability (HRV) can be assessed from RR-intervals. These are derived from an electrocardiographic PQRST-signature and can deviate in a chaotic or irregular manner. In the past, techniques from statistical physics have allowed researchers to study such systems. Objective: This study planned to assess the heart rate dynamics in young obese subjects by nonlinear metrics to heart rate variability. Methods: 86 subjects were split equally according to status. Heart rate was recorded with the subjects resting in a dorsal (prone) position for 30 minutes. The complexity of the RR-intervals was assessed by five Entropies, Detrended Fluctuation Analysis, Higuchi and Katz’s fractal dimensions Following inconclusive tests of normality we calculated the One-Way Analysis of Variance, Kruskal-Wallis, and the Effect Sizes by Cohen’s d significances. Results: It was established that Shannon, Renyi and Tsallis Entropies and the Higuchi and Katz・s fractal dimensions could significantly discriminate the two groups. The three entropies were higher in obese youths, suggesting less predictable sets of RR intervals (p<0.0001; d≈1.0). Whilst the Higuchi (p<0.003; d≈0.76) and Katz・s (p≈0.02; d≈0.57) fractal dimensions were lower in obese youths. Conclusion: As with chaotic globals an increase in response was detected by three measures of entropy in young obese. This is counter to the decreasing response detected by fractal dimensions. Chaotic globals and entropies are more dependable than fractal dimensions when assessing the responses to obesity.

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Higuchi Fractal Properties of Onset Epilepsy Electroencephalogram

Cited by 39 publications

References 9 publications

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

Linear and Complex Measures of Heart Rate Variability during Exposure to Traffic Noise in Healthy Women

Higuchi fractal dimension applied to RR intervals in children with Attention Defi cit Hyperactivity Disorder

Complex measurements of heart rate variability in obese youths: distinguishing autonomic dysfunction

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