Diagnostic value of electrocardiogram during routine electroencephalogram

Yassin, Ahmed; El‐Salem, Khalid; Khassawneh, Basheer; Al-Mistarehi, Abdel-Hameed; Jarrah, Mohamad; Alaabdin, Anas M. Zein; Abumurad, Sumayyah K.; Qasaimeh, Mohammad; Bashayreh, Salma Y.; Kofahi, Raid; Al-Hayk, Kefah; Al-Shorafat, Duha; Qawasmeh, Majdi Al

doi:10.1016/j.seizure.2021.04.016

Cited by 5 publications

(15 citation statements)

References 31 publications

(44 reference statements)

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“…Music not only can arouse unpleasant emotions but also can arouse happy emotions. However, it is difficult to arouse happy emotions through static images [ 3 ]. With the development of science and technology and the application of computers, many comprehensive signals are processed by digital signals, which make people's daily working methods reformed.…”

Section: Introductionmentioning

confidence: 99%

EEG Analysis with Wavelet Transform under Music Perception Stimulation

Xue

2021

Journal of Healthcare Engineering

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In order to improve the classification accuracy and reliability of emotional state assessment and provide support and help for music therapy, this paper proposes an EEG analysis method based on wavelet transform under the stimulation of music perception. Using the data from the multichannel standard emotion database (DEAP), α, ß, and θ rhythms are extracted in frontal (F3 and F4), temporal (T7 and T8), and central (C3 and C4) channels with wavelet transform. EMD is performed on the extracted EEG rhythm to obtain intrinsic mode function (IMF) components, and then, the average energy and amplitude difference eigenvalues of IMF components of EEG rhythm waves are further extracted, that is, each rhythm wave contains three average energy characteristics and two amplitude difference eigenvalues so as to fully extract EEG feature information. Finally, emotional state evaluation is realized based on a support vector machine classifier. The results show that the correct rate between no emotion, positive emotion, and negative emotion can reach more than 90%. Among the pairwise classification problems among the four emotions selected, the classification accuracy obtained by this EEG feature extraction method is higher than that obtained by general feature extraction methods, which can reach about 70%. Changes in EEG α wave power were closely correlated with the polarity and intensity of emotion; α wave power varied significantly between “happiness and fear,” “pleasure and fear,” and “fear and sadness.” It has a good application prospect in both psychological and physiological research of emotional perception and practical application.

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Section: Introductionmentioning

confidence: 99%

EEG Analysis with Wavelet Transform under Music Perception Stimulation

Xue

2021

Journal of Healthcare Engineering

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“…The higher frequency of ECG abnormalities may be related to features of the study groups, such as patients' age and comorbidities. Yassin et al 11 reported that about one-third of the study group had at least one comorbidity such as hypertension (30.4%), diabetes mellitus (23.8%), ischemic heart disease (10.1%), stroke (6.6%), chronic kidney disease (5.2%), heart failure (3.3%), and dyslipidemia (3.3%). Abnormal ECG findings during EEG monitoring were significantly associated with older age.…”

Section: Discussionmentioning

confidence: 99%

“…Onder et al 10 reported that the rate of arrhythmia was 17% on simultaneous ECG-EEG recordings by a cardiologist's evaluation in 478 adult patients who underwent routine testing. Yassin et al 11 evaluated 433 recordings of 365 adult patients (mean age: 46.8 years) and found ECG abnormalities in 28.5% of the patients. Our study indicates that 1% of children at age 5 to 16 years, having routine EEG-ECG tested due to epilepsy follow-up or differential diagnosis of seizure may have unnoticed or new-onset cardiac arrhythmia.…”

Section: Discussionmentioning

confidence: 99%

Routine Interictal EEG Recording Should be Performed Together with Simultaneous Two-Lead ECG Recording

Yılmaz

Işıkay

Yavuz

et al. 2022

Journal of Pediatric Epilepsy

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We aimed to evaluate the contribution of simultaneous electrocardiography (ECG) recording during routine interictal electroencephalography (EEG) recording in patients with seizures or epilepsy and therefore to provide evidence-based data on this subject. Patients with interictal cardiac arrhythmia on routine EEG-ECG recordings were determined and evaluated based on cardiologic and neurologic findings. Out of 1,078 patients aged between 5 and 16 years (mean: 10.2 ± 3.2), 9 (0.08%) patients were found to have an arrhythmia. Six patients had both epilepsy and cardiac arrhythmia (premature ventricular contractions [PVCs] in 5; Wolff-Parkinson-White [WPW] in 1 patient) and the remaining three patients had nonepileptic paroxysmal events (NPEs) and arrhythmia (PVC in 2; WPW in 1). Three patients had other diseases (neurofibromatosis type 1, tuberous sclerosis, and congenital heart disease status postsurgery). Cardiac arrhythmia required radiofrequency ablation or antiarrhythmic drug treatment in two patients with epilepsy and also two patients with NPE; however, it improved with no specific treatment in the remaining five patients. NPE was not related to arrhythmia in one of three patients with NPE. Our study suggests that routine interictal EEG-ECG recording provides a valuable and feasible opportunity to reveal unnoticed or new-onset cardiac arrhythmias. Therefore, ECG should be recorded simultaneously during routine interictal EEG recordings. Cardiac arrhythmias detected by routine interictal EEG-ECG recordings would require arrhythmia treatment in nearly half of the patients.

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“…6 The extended ECG trace which accompanies the EEG can also provide more insights into potential cardiac causes of presentations. 4,[7][8][9] The diagnostic utility of a concurrent ECG is relatively unknown. Previous studies have commented on its particular usefulness in syncope and the detection of newly identified cardiac dysrhythmias.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have commented on its particular usefulness in syncope and the detection of newly identified cardiac dysrhythmias. 9 These studies focused on specialist cardiology or automated interpretation of ECG data, collected concurrently with the EEG, which is often unavailable or difficult to achieve in many environments. [7][8][9][10] The current study aimed to expand the understanding of concurrent ECG, when performing a routine EEG, examining a large cohort of patients from South Western Sydney, Australia.…”

Section: Introductionmentioning

confidence: 99%

The Value of Concurrent Electrocardiography When Performing an Electroencephalograph

2022

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Introduction. The use of concurrent, single lead electrocardiograph (ECG) recording, when performing a routine electroencephalograph (EEG), has been standard practice for many years. Previous studies have reported on the usefulness of concurrent EEG in assessing syncope and the detection of newly identified cardiac dysrhythmia but have relied on specialist cardiologist interpretation of the ECG trace. This study expands the understanding of concurrent ECG and provides demographic information regarding the incidence, nature of ECG changes and diagnostic utility of ECG interpretation, during routine EEGs, as evaluated by neurologists. Methods. A single center, retrospective study of routine concurrent EEG and ECG recordings was performed. All routine EEGs, performed within a 12 month period were analysed. Demographic data, underlying comorbidities, reasons for referral and ECG changes were assessed. Results. ECG abnormalities were identified in 147 (13.5%) of concurrent ECG/EEG routine recordings. The presence of ECG abnormalities was significantly associated with the reason for referral, namely being assessed for the evaluation of seizure activity and with increasing patient age. Thirty-eight patients (3.5%) had newly identified ECG abnormalities, of which atrial fibrillation (AF) (12 patients) and sinus bradycardia (9 patients) were the most common. Five patients (0.5%) had a change in their management consequent to the identified ECG changes. Conclusions. These findings support the value of neurologists’ interpretation and need for ongoing concurrent ECGs, during routine EEG recordings. The study raises concern about the requesting clinician's response to the identification of newly diagnosed cardiac dysrhythmias.

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Diagnostic value of electrocardiogram during routine electroencephalogram

Cited by 5 publications

References 31 publications

EEG Analysis with Wavelet Transform under Music Perception Stimulation

EEG Analysis with Wavelet Transform under Music Perception Stimulation

Routine Interictal EEG Recording Should be Performed Together with Simultaneous Two-Lead ECG Recording

The Value of Concurrent Electrocardiography When Performing an Electroencephalograph

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