EEG non-linear feature extraction using correlation dimension and Hurst exponent

Geng, Shuqin; Zhou, Weidong; Yuan, Qi; Cai, Dongmei; Zeng, Yanjun

doi:10.1179/1743132811y.0000000041

Cited by 54 publications

(29 citation statements)

References 6 publications

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“…In accordance with the result reported by Geng et al . 90 in their epileptic study, a decreased Hurst exponent exhibited by concussed athletes in our study implies that the degree of anti-correlation of concussed athletes is larger than that of healthy athletes.…”

Section: Discussionsupporting

confidence: 45%

A Novel EEG Based Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion History

Munia

Haider

Schneider

et al. 2017

Sci Rep

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The neurocognitive sequelae of a sport-related concussion and its management are poorly defined. Detecting deficits are vital in making a decision about the treatment plan as it can persist one year or more following a brain injury. The reliability of traditional cognitive assessment tools is debatable, and thus attention has turned to assessments based on electroencephalogram (EEG) to evaluate subtle post-concussive alterations. In this study, we calculated neurocognitive deficits combining EEG analysis with three standard post-concussive assessment tools. Data were collected for all testing modalities from 21 adolescent athletes (seven concussive and fourteen healthy) in three different trials. For EEG assessment, along with linear frequency-based features, we introduced a set of time-frequency (Hjorth Parameters) and nonlinear features (approximate entropy and Hurst exponent) for the first time to explore post-concussive deficits. Besides traditional frequency-band analysis, we also presented a new individual frequency-based approach for EEG assessment. While EEG analysis exhibited significant discrepancies between the groups, none of the cognitive assessment resulted in significant deficits. Therefore, the evidence from the study highlights that our proposed EEG analysis and markers are more efficient at deciphering post-concussion residual neurocognitive deficits and thus has a potential clinical utility of proper concussion assessment and management.

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Section: Discussionsupporting

confidence: 45%

A Novel EEG Based Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion History

Munia

Haider

Schneider

et al. 2017

Sci Rep

View full text Add to dashboard Cite

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“…Hurst Exponent (HE) can be used for the detection of epileptic seizure (Osorio and Mark 2007). The HE values exhibited long range anti-correlation in both epileptic and interictal EEG (Geng et al 2011). Combined nonlinear features of sample entropy with deterended fluctuation analysis (DFA) and kolmogorov complexity are used to evaluate functional plasticity changes in spontaneous EEG recordings of rats before and after spinal cord injury (SCI) (Pu et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Analysis of long range dependence in the EEG signals of Alzheimer patients

2018

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Alzheimer's disease (AD), a cognitive disability is analysed using a long range dependence parameter, hurst exponent (HE), calculated based on the time domain analysis of the measured electrical activity of brain. The electroencephalogram (EEG) signals of controls and mild cognitive impairment (MCI)-AD patients are evaluated under normal resting and mental arithmetic conditions. Simultaneous low pass filtering and total variation denoising algorithm is employed for preprocessing. Larger values of HE observed in the right hemisphere of the brain for AD patients indicated a decrease in irregularity of the EEG signal under cognitive task conditions. Correlations between HE and the neuropsychological indices are analysed using bivariate correlation analysis. The observed reduction in the values of Auto mutual information and cross mutual information in the local antero-frontal and distant regions in the brain hemisphere indicates the loss of information transmission in MCI-AD patients.

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“…Wackermann parameters were used for assessing sleep and pharmacological effects [23], in brain computer interfaces [45]. Dynamical Hurst analysis assessing the autocorrelation of EEG signals found differences between patients with posttraumatic stress disorder and healthy controls [46], and it was also used to identify nonlinear features in patients with epilepsy during seizures vs. interictal periods [47], to diagnose epilepsy [48], and to detect seizures in the EEG [49].…”

Section: Correlation Of Eeg Biomarkers With Psychological Statesmentioning

confidence: 99%

Correlation of EEG spectra, connectivity, and information theoretical biomarkers with psychological states in the epilepsy monitoring unit — A pilot study

Höller

Trinka

Kalss

et al. 2019

Epilepsy & Behavior

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A B S T R A C TAt the level of individual experience, the relation between electroencephalographic (EEG) phenomena and subjective ratings of psychological states is poorly examined. This study investigated the correlation of quantitative EEG markers with systematic high-frequency monitoring of psychological states in patients admitted to the epilepsy monitoring unit (EMU). We used a digital questionnaire, including eight standardized items about stress, energy level, mood, ward atmosphere, seizure likelihood, hopefulness/frustration, boredom, and self-efficacy. Self-assessments were collected four times per day, in total 15 times during the stay in the EMU. We extracted brainrate, Hjorth parameters, Hurst exponent, Wackermann parameters, and power spectral density from the EEG. We performed correlation between these quantitative EEG measures and responses to the 8 items and evaluated their significance on single subject and on group level. Twenty-one consecutive patients (12 women/9 men, median age: 29 years, range: 18-74 years) were recruited. On group level, no significant correlations were found whereas on single-subject level, we found significant correlations for 6 out of 21 patients. Most significant correlations were found between Hjorth parameters and items that reflect changes in mood or stress. This study supports the feasibility of correlating quantitative EEG measures with psychological states in routine EMU settings and emphasizes the need for single-subject statistics when assessing aspects with high interindividual variance. Future studies should select samples with high within-subject variability of psychological states and examine a subsample with patients encountering a critical number of seizures needed in order to relate the psychological states to the ultimate question: Are psychological states potential indicators for seizure likelihood?

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EEG non-linear feature extraction using correlation dimension and Hurst exponent

Cited by 54 publications

References 6 publications

A Novel EEG Based Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion History

A Novel EEG Based Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion History

Analysis of long range dependence in the EEG signals of Alzheimer patients

Correlation of EEG spectra, connectivity, and information theoretical biomarkers with psychological states in the epilepsy monitoring unit — A pilot study

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