Actively Recruiting
Remote Monitoring of Cardiac Mechanics in Heart Failure Patients
Led by Aalborg University · Updated on 2026-01-16
200
Participants Needed
2
Research Sites
81 weeks
Total Duration
On this page
Sponsors
A
Aalborg University
Lead Sponsor
A
Aalborg University Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
Heart failure is a severe heart disease, where the heart's ability to pump blood is unsatisfactory. The consequence is a high risk of hospitalization and death. Heart failure is treated with medicine which relieves symptoms and slows down the disease progression. This medical treatment needs routine adjustment, but in many cases, this adjustment is not done timely, which results in life treating conditions where the patients need acute hospitalization. Remote health monitoring of HF patients has the potential to ensure timely adjustment. However, only sensors placed inside the blood vessels of the lung, have been shown effective. The disadvantage is that the placement of the sensor requires surgery. This makes the method costly and poses a risk for the patient. The aim of the current project is to develop a small intelligent patch, which can measure the heart's function from the outside of the body. The method will be low-cost, simple to use and will not pose a risk to the patient.
CONDITIONS
Official Title
Remote Monitoring of Cardiac Mechanics in Heart Failure Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- NYHA Class II or higher
- 18-90 years old
You will not qualify if you...
- Pregnancy
- Drug addiction defined as the use of cannabis, opioids, or other drugs
- Mechanical heart valves
- In dialysis
- Not possible to obtain clinical echocardiography of sufficient quality
- Lack of ability to cooperate
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 2 locations
1
Aalborg University Hospital
Aalborg, Denmark, Denmark, 9000
Actively Recruiting
2
Copenhagen University Hospital Herlev
Herlev, Denmark, Denmark, 2730
Actively Recruiting
Research Team
S
Samuel Schmidt, MSc, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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