Healthy Volunteers E86
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: All subjects have to be healthy, do sports on a regular basis, have a social security number, and pass a performance diagnostics test.
Exclusion criteria
Exclusion criteria: - Pre-existing disease of heart or other cardiovascular diseases - medical history, acute or chronic diseases that could influence the results or could worsen - blood laboratory findings that are outside of laboratory standards - If the performance diagnostics test could not be performed because of one or more of the following contra indicators: - acute coronary syndrome - symptomatical cardiac irregularity and/or restricted hemodynamics - symptomatical severe aortic stenosis - congestive cardiac insufficiency - acute pulmonary embolism - acute carditis - acute aortic dissection - feverish infections - phlebothrombosis of lower extremities - main (coronary artery) stenosis - valvular heart disease of moderate degree - known electrolyte disorder - arterial hypertonia (RR > 180/100 mmHg) - tachyarrhythmia or bradyarrhythmia - hypertrophic obstructive cardiomyopathy - high-grade AV-block - anemia - physical and/or psychological impairments Further exclusion criteria that could occur during the performance diagnostics test: - RR systolic > 230-260 mmHg, diastolic > 115 mmHg - supraventricular tachycardia - bradyarrhythmia - polymorphic extrasystole and salvos - high-grade AV-block, bundle branch block - angina pectoris - major dyspnea, vertigo - major, typical ST depression (V4-6 > 0,3 mV, Extr. > 0,2 mV) - significant ST elevation (DGK: > 0,1 mV) - indicator of myocardial ischaemia - cyanosis
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| There are no primary or secondary outcomes. The study is conducted to collected data for the development of pattern recognition algorithms. | — |
Secondary
| Measure | Time frame |
|---|---|
| There are no primary or secondary outcomes. The study is conducted to collected data for the development of pattern recognition algorithms. | — |
Countries
Germany
Contacts
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg