A study to evaluate the accuracy of Wearables and Algorithm Technology for Chronic Heart Disease in the diagnosis of Heart Failure
- Conditions
- Cardiovascular - Coronary heart diseaseHeart Failure
- Registration Number
- ACTRN12623000038695
- Lead Sponsor
- Medical Monitoring Solutions Pty Ltd
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 50
1. 18-75 years of age.
2. Diagnosed with Heart Failure (New York Heart Association (NYHA) II to IV) for RHC as part of standard medical care.
1. Participant is on mechanical ventilation.
2. Participant is receiving cardiac mechanical support.
3. Participant is pregnant or lactating.
4. Inability to place morphic sensors.
5. Participating in a concurrent clinical investigation which has not yet met its primary endpoint, or in the investigator’s opinion, participation in this study would affect the primary endpoint of the concurrent study.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method That the morphic sensors can accurately record (greater than or equal to 90% value comparison) Pulse Wave Volocity as compared to the SphygmoCor XCEL device (within a 95% Confidence Interval.)[ During Invasive and Non-invasive study];That the morphic sensors can accurately record (greater than or equal to 90% value comparison) Central Blood Pressure as compared to the SphygmoCor XCEL device (within a 95% Confidence Interval.)[ During Invasive and Non-invasive study];That the morphic sensors can accurately record (greater than or equal to 90% value comparison) Peripheral Blood Pressure as compared to the SphygmoCor XCEL device and BioPac device (within a 95% Confidence Interval.)[ During Invasive and Non-invasive study]
- Secondary Outcome Measures
Name Time Method