Learning objectives
The course will enable students to acquire novel and critical knowledge
on the electrocardiographic technique, on its diagnostic and prognostic
values, by integrating notions of heart physiology and neurophysiology
Prerequisites
Basic notions of electrophysiology.
Course unit content
Electrocardiography and heart-brain relationship
Full programme
-ECG: its history and the basic principles of heart electrophysiology;
- P wave (electrogenesis; relation to the heart cycle, morphology, notion
of its diagnostic features in relation to atrial heart pathology;
- PR interval (electrogenesis, relation to the heart cycle, morphology,
notion of its diagnostic features in relation to heart pathology of
conduction tissue;
- QRS (electrogenesis; relation to the heart cycle, morphology, notion of
its diagnostic features in relation to the diagnosis of heart hypertrophy
and infarct;
- ST (electrogenesis; relation to the heart cycle, morphology, notion of its
diagnostic features in relation to the diagnosis of ischemia;
- T (electrogenesis; relation to the heart cycle, morphology, notion of its
diagnostic features in relation to the diagnosis of heart overload;
- U wave;
- QTc (absolute and relative refractory periods);
- ECG as prognostic tool (short excursus on the prognostic meaning of
“traditional waves”, followed by the introduction of
“alternative/innovative” measures applied to the ECG: waves dispersion
in the spatial and temporal domains, post-potentials, etc.);
- ECG applied to the study of the autonomic nervous system;
- HRV (temporal and spectral domains, notions of “complexity”): analysis
methodology and its implications;
- The heart-brain relationship;
- The Polyvagal Theory of Porges.
Bibliography
Dale Dubin, Interpretazione dell’ECG. Monduzzi, 2008
Teaching methods
Lectures will be held on-site in compliance with safety standards.
Assessment methods and criteria
Oral examination, within the exam of Physiology.
If online modality will be necessary, the exams will be conducted remotely, as follows:
remote oral questions, through the Teams platform (guide http://selma.unipr.it/).
Students with SLD / BSE must first contact C.A.I. of Unipr: support for students with disabilities, D.S.A., B.E.S. https://cai.unipr.it/en/
Other information
2030 agenda goals for sustainable development
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