ECG: Measurement and Interpretation Level 6 6KNIC314
Course overview
'Opening Soon for Term 2'
This course offers the student an opportunity to gain skills and understanding in the interpretation of electrocardiographs. It takes a basics upward approach, first refreshing understanding of the biological basis of ECG and arrhythmia formation then applying these principles to a selection of arrhythmias including atrial, AV conduction and ventricular abnormalities. The course continues with analysis of 12-lead ECGs to recognise abnormalities including acute coronary syndrome, ventricular conduction blocks and chamber hypertrophy. The focus of this course is on making diagnoses from ECG abnormalities rather than on patient care and is therefore relevant to all healthcare professionals with responsibility for monitoring or interpreting electrocardiographs.
What does this course cover?
This course aims to offer students an opportunity to understand and critically analyse the principles of cardiac electrophysiology and apply these principles in identification and evaluation of ECG abnormalities.
What will I achieve?
On successful completion of this module you will be able to:
· Demonstrate an understanding of the principles of electrophysiology and their relationship to the cardiac cycle.
· Describe the proposed mechanisms of arrhythmia formation.
· Identify diagnostic criteria for the following abnormalities from a 12-lead ECG: -
· Atrial, junctional and ventricular arrhythmias
- Infarction & ischaemia
- Chamber enlargement
- Conduction abnormalities
· Recognise the possible signs and symptoms associated with arrhythmias
· Review the evidence for appropriate treatment modalities for ECG abnormalities and analyse the nurse’s role.
Who will I learn with?
Senior Lecturer in Nursing Education
Who is this for?
Qualified healthcare professionals
How will I be assessed?
What is the teaching schedule?
Term 2: 13/01/2025, 20/01, 27/01, 03/02, 10/02, 17/02, 24/02, 03/03, 10/03, 17/03, 24/03
Contact
To find out more about this module, please contact the Module Lead Ehsan Khan
- eu.khan@kcl.ac.uk