Embedded Files
ECG Features
ECG Features
Figure 1: ECG Strip[1]
Atrial Fibrillation (AF) is distinguished by disorganized atrial electrical activity and contraction. The mechanisms underlying AF are not entirely understood but it requires an "initiating event" and "substrate for maintenance."[2]
Table 1: ECG Characteristics[3]
Clinical Significance[4]
Clinical Significance[4]
- The majority of AF episodes do not cause symptoms; however, some patients experience symptoms such as palpitations, dyspnea, fatigue, dizziness, and angina.
- Atrial fibrillation can increase the risk of stroke and heart failure.
- Calcium-channel blockers or beta-adrenergic blockers can help treat symptomatic patients.
- Three clinical types of AF can be documented: paroxysmal, persistent, or permanent.
ECM Features
ECM Features
- Beginning of Atrial Fibrillation
Figure 2a: ECM Analysis, Record 04043[5][6]
- End of Atrial Fibrillation
Figure 2b: ECM Analysis, Record 04043[5][6]
ECM Examples
ECM Examples
1. Additional Examples of Atrial Fibrillation (27)
2. Beginning of Atrial Fibrillation with Aberrated Beats
Figure 3: Record 201[6][7]
Figure 4: Record 202[6][7]
3. Transition from Atrial Fibrillation to Nodal Rhythm
Figure 5: Record 201[6][7]
Additional Information
Additional Information
References
References
- Atrial Fibrillation [Online image]. (2013). Retrieved July 19, 2016, from http://www.practicalclinicalskills.com/ekg-reference-guide-details?lessonID=11
- Atrial Fibrillation. (n.d.). Retrieved July 27, 2016, from http://lifeinthefastlane.com/ecg-library/atrial-fibrillation/
- Atrial Fibrillation. (n.d.). Retrieved July 27, 2016, from http://www.practicalclinicalskills.com/ekg-reference-guide-details?lessonID=11
- Atrial Fibrillation Clinical Presentation. (n.d.). Retrieved August 8, 2016, from http://emedicine.medscape.com/article/151066-clinical
- MIT-BIH Atrial Fibrillation Database. (1983). Retrieved June, 2016, from https://physionet.org/physiobank/database/afdb/
- Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation101(23):e215-e220 [Circulation Electronic Pages;http://circ.ahajournals.org/cgi/content/full/101/23/e215]; 2000 (June 13).
- MIT-BIH Arrhythmia Database. (1980). Retrieved June, 2016, from https://physionet.org/physiobank/database/mitdb/
Report abuse