2003
DOI: 10.1016/s0375-9601(03)00949-6
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Parameterized entropy analysis of EEG following hypoxic–ischemic brain injury

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Cited by 56 publications
(51 citation statements)
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“…Hence, the statistical differences observed in the TSE and GSE seem to decrease as q increases, whereas an opposite behavior is obtained when the RSE is analyzed. In addition, previous studies also observed that quantifiers based on Tsallis and Rényi entropies exhibited a moderate or low dependence with the parameter q [18], [20], whereas measures based on the generalized escort-Tsallis statistics showed a strong dependence on q [20]. In our analyses, a slightly dependence on q can also be observed, since both the statistical and classification results varied depending on this index.…”
Section: Resultssupporting
confidence: 76%
See 1 more Smart Citation
“…Hence, the statistical differences observed in the TSE and GSE seem to decrease as q increases, whereas an opposite behavior is obtained when the RSE is analyzed. In addition, previous studies also observed that quantifiers based on Tsallis and Rényi entropies exhibited a moderate or low dependence with the parameter q [18], [20], whereas measures based on the generalized escort-Tsallis statistics showed a strong dependence on q [20]. In our analyses, a slightly dependence on q can also be observed, since both the statistical and classification results varied depending on this index.…”
Section: Resultssupporting
confidence: 76%
“…PSDs were averaged for each channel and subject to compute the mean power spectrum. Then, the RSP was calculated in the classical frequency bands: delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta1 (13)(14)(15)(16)(17)(18)(19), beta2 (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and gamma (30-64 Hz). If we denote the power at each frequency band as P j , j = {delta, theta, alpha, beta1, beta2, gamma}, then, the RSP can be represented as a probability distribution,…”
Section: B Definition Of the Spectral Entropiesmentioning
confidence: 99%
“…We have used qEEG analysis previously to track brain recovery after CA 15,16,[20][21][22][23][24] . EEGs were recorded from baseline through re-warming periods using DI700 Windaq system 15 .…”
Section: Eeg Recording and Qeeg Analysismentioning
confidence: 99%
“…The development of quantitative EEG analysis was motivated by the need for objective measures as well as some degree of automation [1]. Quantitative EEG analysis shows promising results as a tool for diagnostic monitoring of brain injury such as after resuscitation from cardiac arrest [2]- [5].…”
Section: Introductionmentioning
confidence: 99%
“…From the perspective of the information theory, the information contained in a signal can be physically quantified by calculating the entropy [12]. The entropy-based EEG analysis methods have recently been developed and showed promising results [2]- [4]. For example, Tong et al used the time dependent entropy (TDE) measure to study EEG during the recovery of the brain's function from asphyxic cardiac arrest injury.…”
Section: Introductionmentioning
confidence: 99%