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The Cardisio test uses a novel sensor placement to capture patient data in 3-dimensions capturing force and direction (vectorcardiography). The patient signal data is processed and automatically annotated, before parameters are calculated and classified by disease. Each patient test involves c3.2 million calculations before an individual test report is generated. Each report provides a graduated probability estimate of a pattern match with known disease pathologies. Patient data is presented in both VCG (vector loops) and 12-lead ECG formats with patient results compared with reference data parameters, highlighting out-of-band results. The report also suggests possible disease areas for further examination.
| Project | Assessing the impact of using community-based heart testing to detect early signs of Cardiovascular Disease through a novel, quick, low-cost screener which uses sophisticated AI-based analysis |
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| Description |
The Cardisio test is a quick 1st line triage test, measuring a patient’s electrical heart activity in 3-dimensions, and is taken at rest in a primary care setting. Test results in 3 disease areas (CAD, arrythmia, Structural heart disease) are made available to the physician in c.4 minutes. |
| Funding | £ 342,484 |
| Competition | Competition 21 - Phase 3, Real-world Implementation: Respiratory Diseases and Cardiovascular Diseases |
| Competition Date | June 2022 |
| Categories | Cardiovascular |
| Health Innovation Network Partner | Health Innovation East |
| Website | https://www.cardis.io |