Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach

Table 1 Patient inclusion and exclusion criteria for the study

Criterion type	Description
Inclusion	Patient age over 18 years; agreement to participate in the study
Exclusion	Significant QRS complex morphology changes (such as bundle branch block and ventricular extrasystole); poor quality electrocardiography recorded from the fingers (Parkinson’s disease, tremor of any origin, mental disorders). Unsatisfactory quality of electrocardiography and/or photoplethysmography; withdrawal of consent for further participation in the study