KORVEKSiS

KORVEKSiS: Compensated location vectors for the characterisation of seismocardiographic signals using
integrated sensor technology

KORVEKSiS is dedicated to the overarching research question of how seismocardiographic signals (SCG) can be clearly characterised with resource-limited sensor technology in order to be able to offer cost-effective, portable alternatives to conventional imaging methods for diagnostics and monitoring in medical care, prevention and health promotion in the future. In the project, 3D acceleration sensors are fused with 3D gyroscopes and compensated location vectors with configurable orientation are derived. This enables a location-based interpretation of the SCG signals based on the sensor position. In KORVEKSiS, previously neglected measurement uncertainties of the reference systems (artefacts, latencies, jitter, drift) are taken into account. Compensated location vectors provide a more stable and standardisable basis for the assignment of characteristic cardiac physiological signals of the reference systems, which are used in translational models, and methods for the integration of resource-limited sensor technology are provided as a basis for future implementations on wearable systems.

The work programme initially envisages the development and evaluation of a miniaturised sensor platform with fused accelerometric and gyroscopic sensor technology. Due to a lack of standards, a test infrastructure with previously validated components will be set up to allow synchronised data collection from SCG and reference systems. On this basis, basic data is collected in a human experiment as a tutorial (in connection with lecture/seminar) and test data set for the entire project ending date. This database is used to derive compensated SCG location vectors, which are then characterised using data from the reference systems echocardiography, electrocardiography and phonocardiography. At the same time, translational models are derived and the characterisation is integrated into resource-limited sensor systems. Taken together, a portfolio of methods will be available as a scientific basis for further research aimed at enabling cost-effective wearables with a wide range of applications for outpatient diagnostics and monitoring in prevention, health promotion and diagnostics.