Trials / Unknown
UnknownNCT05886569
DIGIPREDICT-Physio-DE
Edge AI-deployed DIGItal Twins for PREDICTing Disease Progression and Need for Early Intervention in Infectious and Cardiovascular Diseases Beyond COVID-19 - Evaluation of Physiological Sensors
- Status
- Unknown
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 20 (estimated)
- Sponsor
- Charite University, Berlin, Germany · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
The study aims to investigate short-term physiological and biochemical inflammatory and cardiocirculatory biomarker kinetics in heart failure patients, using the DIGIPREDICT Physiopatch device - an investigational device that allows non-invasive realtime single-lead ECG registration and bioimpedance measurement as well as spotcheck photoplethysmography -, and standard laboratory methods, respectively.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | DIGIPREDICT Physiopatech | Application of the DIGIPREDICT Physiopatch investigational device |
Timeline
- Start date
- 2023-05-25
- Primary completion
- 2023-11-24
- Completion
- 2023-11-24
- First posted
- 2023-06-02
- Last updated
- 2023-06-02
Source: ClinicalTrials.gov record NCT05886569. Inclusion in this directory is not an endorsement.