None listed
Conditions
Interventions
None listed
Sponsors
Inha University Hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Normal homostatic ECG of patients diagnosed with atrial fibrillation over 18 years of age with electrocardiogram records that can be extracted from text (XML) files, and normal persons who have not been diagnosed with atrial fibrillation. According to the methods studied in the previous paper, homodynamic ECG in patients with atrial fibrillation is preferably within one and three months before and after using the atrial fibrillation ECG as an indicator.
Exclusion criteria
Exclusion criteria: This study is a data acquisition study using electrocardiogram, and there is no exclusion standard other than the patient who is inappropriate as a subject in the judgment of the researcher.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| In this study, we use deep learning algorithms to predict the patient's clinical picture through electrocardiogram analysis, and ultimately determine the clinical relevance of patients such as cardiac blood rate and heart rate age, and determine the basic baseline characteristics of the patient -age, gender, atrial fibrillation classification, presence or absence of chronic kidney disease, death, hospitalization status, diagnosis date, record date of atrial fibrillation, period from diagnosis to radiofectomy, electrodynamic conversion surgery, dosage type Evaluate, creatine, TG, HDL, LDL, cholesterol, height, weight, blood pressure, high blood pressure, drinking time, exercise, echocardioncardiation values (left ventricular hematocyte count, left atrial size, systolic and diastolic functions, blood flow, etc.) | — |
Countries
Korea, Republic of
Contacts
Public ContactHyo-bin Shin
Inha University Hospital
Outcome results
None listed