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Our Mission
We strive for making a new era of home diagnosis and treatment a reality.
If you are a physician interested to join our network of remote diagnosing and treating patients anywhere in the world, please get in touch with us.
eCur continuous blood pressure ECG monitoring wearable medical device
First generation wearable unit
First generation wearable unit
First generation wearable unit
- Continuous, uninterrupted monitoring
- Values result from real, physical measurements (not based on algorithmic predictions)
- Automated monitoring (no manual intervention necessary)
- Personalized, customizable
- Open, expandable architecture
- Calibration-free
- wearable medical device for cardiology blood pressure
- continuous blood pressure ECG monitoring
What and how do we measure
First generation wearable unit
First generation wearable unit
- Continuous cuffless blood pressure, ECG, oxygen saturation monitoring combined with real time analytics
- Measurement frequency adjustable by activity or personalized pattern recognition based on AI algorithms
- Data are collected with context information attached to them (e.g. activity: the patient was sitting/standing/eating/exercising; environmental conditions like air O2 content/humidity)
- Measuring scope and frequency can be personalized based on ‘learned’ patterns privy to each individual patient
What is different?
What's to come next
What's to come next
We do not rely on AI based algorithms that is trained on data of a wide variety of individuals. We do use multiple physical measurement techniques that is customised to each person's own traits. This enables us to deliver data with exceptional accuracy. We can physically measure BP, ECG, O2 saturation as frequently as needed, even multiple times in a second.
Our device delivers all the context information needed to make an accurate diagnosis: e.g. patient is sleeping, standing, doing sport, what is the air quality, ...
No calibration with 'traditional' pressure monitors needed to operate the blood pressure monitor
What's to come next
What's to come next
What's to come next
We are in the process of extending our architecture that includes bio sensors:
- measuring blood sugar
- for DNA cell impedance: detecting cancerous cells in the body
Our sensors will be 'clippable', in other words, they can be attached to any part of the body or just put in a pocket, or woven into a T-shirt.
eCur - our AI
What do we use AI for
Where we don't prefer AI
Where we don't prefer AI
Combining real-time and historical data our AI module:
- detects personal patterns that help determine the optimal measurement frequency based on physical activity, time of the day/night, and what data to measure that is needed for an accurate diagnosis.
- detects long term trends that help diagnose cardiovascular anomalies like HRV, arrhythmia, BPV, etc.
Where we don't prefer AI
Where we don't prefer AI
Where we don't prefer AI
We do not use AI based algorithms in capturing and delivering real time data.
Our data generation module draws information form physical, sensor-based measurements exclusively.
eCur - our platform
Permission based collaboration platform
Permission based collaboration platform
Permission based collaboration platform
Permission based collaboration platform
Permission based collaboration platform
- Cloud-based.
- Stores all patient-related data, real-time and historical.
- Data storage and retrieval is tied to roles defined by access rights on the lowest data level.
- Normal ranges for each data type can be configured for each individual differently.
- Configurable alerts trigger messages to phone/email recipients if data points are not within a pre-defined range.
- Secure communication between devices and the cloud is supported by special built-in hardware components.
Contact us
OpenCur Inc.
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