Åbo universitet

Capstone

About

With over 2 million people with elevated blood pressure in Finland alone the demand for an easy way to measure continuous blood pressure is higher than ever. Our goal was to build a device for continuous non-invasive blood pressure monitoring that would be relatively accurate and easy to use for extended periods.

Results

We built a working prototype than measures the blood pressure from the Pulse Arrival Time between ECG and PPG sensors. The ECG sensor is connected to the chest and the PPG sensor is connected to the finger with a clip similar to a commercial fingertip pulse oximeter. We control the sensors with a microcontroller connected to a computer.

We were able to estimate the continuous blood pressure by training a machine learning model from the data collected with our device.

Future

From our work the project could be developed further. By conducting more clinical trials we would be able to make the device more robust and improve the accuracy and error tolerance of the machine learning model.

Projekt