Frontal EEG Changes with the Recovery of Carotid Blood Flow in a Cardiac Arrest Swine Model

Kim, Heejin; Kim, Ki Hong; Hong, Ki Jeong; Ku, Yun Hyi; Shin, Sang Do; Kim, Hee Chan

doi:10.3390/s20113052

Cited by 5 publications

(13 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A ventricular fibrillation (VF) swine model was designed to acquire the frontal EEG and hemodynamic data, including CBF [ 17 ]. This study assumed the scenario of a witnessed OHCA, a situation wherein cardiac arrest is recognized immediately and bystanders deliver manual chest compressions while waiting for the emergency medical team (EMT), who applies defibrillation shocks and administrates epinephrine, to arrive [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

“…A lab-developed battery-powered single-channel EEG device with Ag/AgCl electrodes (MT-100, Kendall, Ontario, Canada) was installed on the forehead to measure the frontal EEG under the referential montage [ 17 ]. Reference and ground electrodes were attached on either side of the mastoid.…”

Section: Methodsmentioning

confidence: 99%

“…Initially, a total of 20 EEG parameters were prepared as candidate inputs for the prediction models. Three parameters (Magnitude, Rényi entropy, Log energy entropy), which showed a correlation coefficient of over 0.7 with the recovery rates of CBF in the previous study [ 17 ], were included. The final EEG parameters were selected in two stages.…”

Section: Methodsmentioning

confidence: 99%

“…In this respect, monitoring cerebral electrical activity by non-invasive EEG can be advantageous. In the previous study [ 17 ], the frontal EEG was measured without interrupting the operation of the CPR machine, and the relationship between the recovery rates of CBF and non-invasive EEG parameters before defibrillation attempts was investigated. We hypothesized that the CBF recovery might influence the brain cell activation, and such changes could be reflected on the EEG activity such as awakening or flattening [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

“…In the previous study [ 17 ], the frontal EEG was measured without interrupting the operation of the CPR machine, and the relationship between the recovery rates of CBF and non-invasive EEG parameters before defibrillation attempts was investigated. We hypothesized that the CBF recovery might influence the brain cell activation, and such changes could be reflected on the EEG activity such as awakening or flattening [ 17 , 18 ]. Several time- and frequency-domain EEG parameters are positively correlated to the recovery rates of CBF, which is closely related to brain blood flow [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model

Kim

Hong

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

The recovery of cerebral circulation during cardiopulmonary resuscitation (CPR) is important to improve the neurologic outcomes of cardiac arrest patients. To evaluate the feasibility of an electroencephalogram (EEG)-based prediction model as a CPR feedback indicator of high- or low-CBF carotid blood flow (CBF), the frontal EEG and hemodynamic data including CBF were measured during animal experiments with a ventricular fibrillation (VF) swine model. The most significant 10 EEG parameters in the time, frequency and entropy domains were determined by neighborhood component analysis and Student’s t-test for discriminating high- or low-CBF recovery with a division criterion of 30%. As a binary CBF classifier, the performances of logistic regression, support vector machine (SVM), k-nearest neighbor, random forest and multilayer perceptron algorithms were compared with eight-fold cross-validation. The three-order polynomial kernel-based SVM model showed the best accuracy of 0.853. The sensitivity, specificity, F1 score and area under the curve of the SVM model were 0.807, 0.906, 0.853 and 0.909, respectively. An automated CBF classifier derived from non-invasive EEG is feasible as a potential indicator of the CBF recovery during CPR in a VF swine model.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model

Kim

Hong

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

Electroencephalographic alpha oscillation as first manifestation of brain restoration after resuscitation

Toh

et al. 2022

Neurol Sci

View full text Add to dashboard Cite

Systematic review of swine models for ventricular fibrillation induction in evaluating cardiopulmonary resuscitation methods

Low,

Azahar,

Samson

et al. 2024

Cardiology Plus

View full text Add to dashboard Cite

Background and purpose: Ventricular fibrillation (VF) has been studied using a variety of swine models, historically balloon occlusion of the coronary artery and asphyxiation, and more recently, percutaneous electrical induction. These methods differ in face and construct validity, as well as requirement for expertise, cost, and duration. This study aimed to provide a systematic review these methods and their selection in research. Methods: Electronic searches were conducted in PubMed, Scopus, and Google Scholar. The Utstein-Style Guidelines for Uniform Reporting of Laboratory cardiopulmonary resuscitation (CPR) research were used to identify the extracted variables by two independent investigators. Discrepancy was resolved by discussion with the third investigator. Results: We included 236 studies published from 1990 to 2024. The most commonly used method was electrical induction using a pacing wire cannulated through the external jugular vein into the right ventricle (n = 112), followed by transthoracic electrical induction (n = 28), asphyxiation (n = 20), electrical induction via two subcutaneous needles (n = 15), and balloon occlusion (n = 10). The mean and standard deviation (SD) of the untreated VF duration were 6.9 and 5.0 minutes, respectively. Female and male pigs were used exclusively in 52 and 45 studies, respectively; both sexes were used in 31 studies; 106 studies not reporting the sex. The mean weight of the pigs was 30.2 ± 12.4 kg in 209 studies, and the number of pigs used in the studies ranged from 2 to 271 with a median of 20 (interquartile range: 15–30) pigs in 223 studies. The four most commonly used drugs for anesthesia/preparation were ketamine (n = 145), propofol (n = 76), isoflurane (n = 68), and pentobarbital (n = 61), either alone or in combination. Higher current and voltage were used for less invasive methods. Conclusions: The two most common electric method to induce VF were invasive pacing at the right ventricle and non-invasive transthoracic electrical induction. Asphyxiation was the most common ischemic VF induction. The choice of the VF induction method depends on cost, expertise, feasibility, and the nature of the CPR intervention to be tested.

show abstract

Frontal EEG Changes with the Recovery of Carotid Blood Flow in a Cardiac Arrest Swine Model

Cited by 5 publications

References 35 publications

EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model

EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model

Electroencephalographic alpha oscillation as first manifestation of brain restoration after resuscitation

Systematic review of swine models for ventricular fibrillation induction in evaluating cardiopulmonary resuscitation methods

Contact Info

Product

Resources

About