Contact Person

Onno Linschmann

Project Description

For the early predition of cardiorepiratory diseases sensors which can be easily embedded into everyday objects like smartwatches, rings, armchairs and driver seats, are gaining popularity for their convenience in usage making cables unnecessary and sensor invisible.
In this research project sensors developed for sensing heart beat and ventilation in different modalities are developed. These include the capacitive-coupled Electrocardiogram, the reflective Photoplethysmorgram, the Magnetic Induction Measurement and the Ballistocardiogram. These modalities only need a mechanical contact to the body but do not restrain movement. Furthermore, completely contact-free modalities are used, such as RBG and IRT cameras and radar.
Since all these modalities are not fixed on the body and do not restrain movement, they suffer from motion artifacts. Therefore, redundant sensors are often placed in a way that their information can be later fused. An important step is thus to detect and if possible compensate motion artifacts. Subsequently the estimation of the heart beat and ventilation can be fused to increase their coverage.

Project Goals

• Development of unobtrusive Sensor
• Development of algorithms for the detection and compensation of motion artifacts
• Development of algorithms for sensor fusion