Data Science Events Calendar

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Electrocardiography: Basic Physiology, Epidemiology, and Bedside

May 21 - May 24


Welcome to: Electrocardiography: Basic Physiology, Epidemiology, and Bedside

Organizers:

Claus Graff, Prof., Aalborg University, email cgraff@hst.aau.dk

Jonas L. Isaksen, PhD, University of Copenhagen

Jørgen Kanters, Assoc. Prof., University of Copenhagen

Christoffer Polcwiartek, MD PhD, Aalborg University

Stefan Sattler, MD PhD, Gentofte University Hospital

Lecturers:           Invited lecturers

(see program here:  https://events.au.dk/electrocardiographybasicphysiologyepidemiologyandbedside/preliminary-program )

ECTS:                2.0

Dates:                21, 22, 23 and 24 May 2024

Place:                 Feriecenter Slettestrand, Slettestrandvej 140, 9690 Fjerritslev

Deadline:           17 April 2024

Program:            BEN

Description:

This PhD course will enable you to dive into the world of advanced ECG research at Statistics Denmark. Explore arrhythmia models, ion channels, synthetic ECG generation, machine learning, antiarrhythmic drugs, comparative ECGs syncope evaluation, and more!

 Objectives of the PhD course aim to provide a comprehensive understanding of electrocardiography research across various domains, encompassing both basic science and clinical applications. 

Topics

·        ECG research at Statistics Denmark

·        Large and small animal ECG

·        Cardiac ion channels

·        Phenotypical ECG markers

·        ECG in autoimmune and inflammatory diseases

·        Processing and analyzing ECG data from ambulance and hospital sources

·        Synthetic ECG generation

·        Machine learning in ECG research

·        Epidemiological ECG research

·        Clinical EP studies

·        Syncope

·        Biventricular pacemaker therapy

Learning objectives of the PhD course

A PhD student who has met the objectives of the course will be able to:

·        Understand the legal framework governing ECG research at Statistics Denmark, including specific rules and regulations for accessing, handling, and             analyzing data

·        Understand and critically evaluate the strengths and limitations of population-based ECG studies

·        Understand the structure and format of ECG datasets at Statistics Denmark, including the variables, data types, and metadata associated with each             record, to facilitate effective data utilization and interpretation

·        Explore collaborative research opportunities and interdisciplinary collaborations fostering partnerships with other research institutions to address                   complex research questions using ECG data

·        Analyze and compare large and small animal models of arrhythmia to elucidate their relevance, advantages, and limitations in translational research             for human cardiac electrophysiology

·        Explore cardiac ion channels, action potentials, and tissue level electrophysiology, and apply this knowledge to design and interpret experimental                 studies

·        Identify and characterize phenotypical ECG markers associated with various cardiac conditions, including their sensitivity, specificity, and clinical                   significance for diagnosis and risk assessment

·        Analyze the role of ECG in autoimmune and inflammatory diseases affecting the cardiovascular system, including mechanisms of ECG alterations                 and their implications for disease monitoring

·        Assess the ECG manifestations and drug effects in psychiatric diseases

·        Design and implement algorithms for synthetic ECG generation, considering physiological variations and noise characteristics

·        Understand machine learning techniques to analyze ECG signals for pattern recognition, risk stratification, and predictive modeling in cardiac                         arrhythmias and related disorders

·        Analyze the mechanisms of action, pharmacokinetics, and clinical efficacy of antiarrhythmic drugs, including their indications, contraindications, and             adverse effects, to optimize therapeutic strategies

·        Examine the diagnostic utility of ECG in syncope evaluation, including differentiating cardiac and noncardiac causes

·        Evaluate the rationale, patient selection criteria, and clinical outcomes of biventricular pacemaker therapy in bundle branch block, integrating principles of cardiac resynchronization therapy with ECG                     findings

 Program and practical details: Learn more about the PhD course here: https://dcacademy.dk/display/artikel/electrocardiography-basic-physiology-epidemiology-and-bedside

Registration: Please register 1) here on Moodle to obtain ECTS and 2) on the above website.

Evaluation: Active participation

Important information concerning PhD courses: We have over some time experienced problems with no-shows for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Start:
May 21
End:
May 24
Event Category:
Website:
https://phdcourses.dk/Course/114051

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
2.0