Bioelectric and Biomagnetic Signal Analysis
Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam in Introduction to Computational Health Informatics, 2019
Ventricular flutter is a fast tachycardia with 250–300 beats/minute. The waveform is more like a sinusoidal wave with no clear P-wave, QRS-complex or T-wave. It happens due to severe ischemia. Ventricular flutter, if left alone, turns quickly into ventricular fibrillation. The waveform for ventricular flutter is shown in Figure 7.13c.
An update on the safety of treating relapsing-remitting multiple sclerosis
Published in Expert Opinion on Drug Safety, 2019
Clara G. Chisari, Simona Toscano, Emanuele D’Amico, Salvatore Lo Fermo, Aurora Zanghì, Sebastiano Arena, Mario Zappia, Francesco Patti
Data from FREEDOMS and TRANSFORMS reported a similar incidence of AEs. Cardiovascular events mostly consist in asymptomatic bradycardia, characterized by a dose-dependent decrease in heart rate within 2 h from the first administration and improvement after 6 h, with a maximum decrease of 8–12 beats/min. Symptomatic bradycardia involved 0.5% of subjects in 0.5 FTY group, while first and second atrioventricular blocks occurred in 0.1% of patients each [104]. Other heart rhythm disorders, such as sustained ventricular tachycardia, atrial flutter, ventricular fibrillation, and ventricular flutter, were not reported in FTY groups. Hypertension has been recorded as a more frequent AE in FTY-treated patients than in placebo, with a mean increase in systolic and diastolic blood pressure which was, respectively, of 3and 1 mmHg [100]. Cardiac monitoring for at least 6 h from the first administration is mandatory, longer if significant bradycardia occurs and for selected categories of patients [105].
Outcome differences between carotid artery stenting (CAS) and carotid endarterectomy (CEA) in postoperative ventricular arrhythmia, neurological complications, and in-hospital mortality
Published in Postgraduate Medicine, 2020
LaiTe Chen, Chen-Yang Jiang
Patients with carotid artery disease were identified by International Classification of Disease, 9th Revision (ICD-9) diagnosis codes 433.10 and 433.11 [16]. In the present study, patients received CAS (ICD-9 procedure codes 00.63) or CEA (ICD-9 procedure codes 38.12) were included, CAS as the reference [9]. Patients received both CAS and CEA were excluded. Diagnosis of ventricular arrhythmia (ventricular tachycardia, ventricular flutter, and ventricular fibrillation) and atrial arrhythmia (atrial tachycardia, atrial flutter, and atrial fibrillation [AF]) was identified by ICD-9 diagnosis codes of 427.1, 427.4, 427.41, and 427.42 and 427.31, 427.0, 427.89, and 427.32, respectively, [6–9]. Patients with preexisting ventricular arrhythmia and comorbidity of atrial arrhythmia were also excluded.
A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Published in Expert Review of Medical Devices, 2022
Jinlei Liu, Zhiyuan Li, Yanrui Jin, Yunqing Liu, Chengliang Liu, Liqun Zhao, Xiaojun Chen
In recent years, the study of automatic detection of arrhythmia has become a popular research topic in the field of ECG signal analysis. The traditional approach is a rule-based approach, which combines ECG waveform features with expert knowledge to make a comprehensive diagnosis. However, AI methods, especially DL methods, are usually able to make efficient decisions in large and complex datasets [88]. Most of the studies we reviewed were validated using open source databases. Table 3 lists the detailed parameters of these databases. These databases can be applied to heartbeat classification and rhythmic arrhythmia classification (atrial fibrillation, ventricular tachycardia, ventricular flutter, ventricular fibrillation, etc.). It can be seen from Table 3 that the number of records in Challenge 2017 and CPSC 2018 is much more than other databases. Validation of the model on them is closer to the actual clinical application, but their ECG recording time is relatively short. Therefore, a long-term ECG dataset with many patient records in multiple leads is highly anticipated by researchers. The literature on the analysis of arrhythmia with ML and DL techniques has been studied in detail, as shown in Table 4.
Related Knowledge Centers
- Arrhythmia
- Cardiac Arrest
- Electrophysiology Study
- Tachycardia
- Ventricle
- Ventricular Fibrillation
- Ventricular Tachycardia
- Electrocardiography
- Medical Emergency