A Clinical Application of Artificial Intelligence ECG Technology to Patients with Embolic Stroke of Undetermined Source
Not Applicable
- Conditions
- Diseases of the circulatory system
- Registration Number
- KCT0009318
- Lead Sponsor
- Inha University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot yet recruiting
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
Embolic Stroke of University of Inha Hospital from 2016 to 2023 with unknown cause
Among patients over 19 years of age diagnosed with Source; ESUS), those with an ECG record at hospitalization and follow-up after 6 months
Exclusion Criteria
The above study is a data collection study using an electrocardiogram, and there are no exclusion criteria other than patients who are unsuitable as subjects by the researcher's judgment.
Study & Design
- Study Type
- Observational Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method ILR-detected siginal AF in patients with cerebral infarction of unknown cause
- Secondary Outcome Measures
Name Time Method Stroke after ILR in patients with cerebral infarction of unknown cause