Seerlinq provides remote patient monitoring for individuals with heart failure using a smartphone application and dedicated measurement device. Expert teams remotely analyze patient data to detect potential deterioration early, enabling timely intervention. This proactive telemonitoring approach aims to significantly reduce hospitalization risks and improve patient quality of life.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Patients with heart failure often experience health deterioration that can lead to hospitalization. Traditional monitoring methods rely on infrequent clinic visits, making early detection of critical changes challenging.
Solution
Seerlinq offers a remote telemonitoring service designed for patients with heart failure, utilizing a non-invasive device to track hemodynamic parameters from the comfort of their homes. The system analyzes photoplethysmography (PPG) signals, which reflect blood flow in small arteries, and transmits the data to a team of cardiologists for continuous monitoring. By leveraging machine learning algorithms, Seerlinq detects subtle changes in a patient's condition, enabling timely intervention and personalized treatment adjustments. This proactive approach aims to reduce the risk of hospitalization and improve the overall quality of life for patients managing heart failure. The service includes a smartphone application and a Seerlinq device, with guidance and support provided to ensure ease of use.
Target Audience
The primary target audience includes patients diagnosed with heart failure who require continuous monitoring of their hemodynamic parameters, as well as cardiologists seeking to improve patient outcomes through remote monitoring and early intervention.
Features
- Non-invasive hemodynamic monitoring via a photoplethysmography (PPG) sensor
- Regular measurements (2 minutes standing, 2 minutes lying down, every other day)
- Data transmission to a secure database for analysis by cardiology specialists
- Machine learning algorithms to detect early signs of health deterioration
- Alerts to healthcare providers for timely intervention
- Integration with a smartphone application for easy data capture and transmission
- Teleconsultations with cardiologists for personalized treatment adjustments
- Continuous remote monitoring to prevent acute hospitalizations