Artificial Intelligence in Subarachnoid Hemorrhage
NCT04415736 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 64
Last updated 2020-09-03
Summary
The overall aim of this study is to, with the help of computer/data scientist and machine learning processes, analyse collected heart rate variability data in order to evaluate whether specific patterns could be found in patients developing delayed cerebral ischemia after subarachnoid hemorrhage.
Conditions
- Subarachnoid Hemorrhage, Aneurysmal
Interventions
- OTHER
-
No intervention, observational study
Sponsors & Collaborators
-
Göteborg University
lead OTHER
Principal Investigators
-
Miroslaw Staron, Prof · Göteborg University
Eligibility
- Min Age
- 16 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-10-01
- Primary Completion
- 2016-10-31
- Completion
- 2020-05-31
Countries
- Sweden
Study Locations
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