EKG SIMULATION AND CASE REPORTS

Learning outcomes according to Bloom's taxonomy

Students analyse the advantages and disadvantages of advanced ECG techniques.

Students will explain the biophysical principles of the formation of the ECG curve.

Students apply these principles when interpreting ECG recordings.

Students will describe the physiological ECG curve and its variations.

Students apply the principles of ECG evaluation to real-world clinical cases.

Students identify impulse formation disorders on the ECG curve.

Students analyse clinical cases and apply theoretical knowledge to solve them.

Students identify impulse conduction disorders on the ECG curve.

Students analyse clinical cases and apply theoretical knowledge to solve them.

Students identify ischemic changes on the ECG curve.

Students analyse clinical cases and apply theoretical knowledge to solve them.

Students identify the effect of ion concentration on the ECG curve.

Students analyse clinical cases and apply theoretical knowledge to solve them.

Students identify the impact of hypertrophy and cardiac strain on the ECG curve.

Students analyse clinical cases and apply theoretical knowledge to solve them.

 

Brief syllabus of the course

1. History and development of electrocardiography: a brief overview of the history of ECG and significant milestones in its development.

2. Advanced techniques and new trends in ECG – the use of artificial intelligence and machine learning in ECG analysis.

3. Biophysical principles of the formation of ECG curves, electrodes, leads, electrophysiology of the conduction system and working muscles.

4. Physiological ECG curve, its variations, principle of ECG waveform evaluation, standardised ECG waveform evaluation (TBL) notation, clinical cases, and real clinical case reports for the application of theoretical knowledge.

5. Simulations of impulse generation disorders in the heart, their identification on the ECG waveform, standardised recording of the ECG curve evaluation (TBL). Clinical cases and real clinical case reports for the application of theoretical knowledge.

6. Simulations of impulse transmission disorders in the heart, their identification on the ECG curve, standardised recording of the ECG waveform (TBL) evaluation, Clinical cases and real clinical case reports for the application of theoretical knowledge.

7. Simulations of the development of ischemic changes on ECG, deWinter waves, Wellens syndrome, STEMI, STEMI equivalents, non-STEMI, their identification on the ECG waveform, standardised ECG curve evaluation (TBL) notation, Clinical cases and real clinical case reports for the application of theoretical knowledge.

8. Simulations of the influence of ion concentration on the behaviour of the ECG waveform, their identification on the ECG waveform, standardised recording of the ECG curve evaluation (TBL). Clinical cases and real clinical case reports for the application of theoretical knowledge.

9. Simulations of the influence of hypertrophy and cardiac overload on the behaviour of the ECG waveform, their identification on the ECG waveform, standardised recording of the ECG curve evaluation (TBL). Clinical cases, and real clinical case reports for the application of theoretical knowledge.