Development of signal processing and presentation interface for RespiHeart sensory system

Important results from the project

Competence reinforcement for development of signal processing and presentation interface for RespiHeart sensor system has aimed at supporting software development to improve reliability of: respiratory rate, heart rate and oxygen saturation data. The objective has been to achieve stable measurement values under different operational circumstances as well as clear and smooth presentation of data. The purpose of the project has been to take the next step to develop, stabilize, and fine-tune filtering, processing and visualisation of the optical signal.

Expected long term effects

The project has generated higher measurement quality and increased the applicability for the RespiHeart system. Three key results have been achieved: (1) effective signal filtering of respiration and heart signals as well as a plan for continuous optimization in relation to forthcoming updated optical components, (2) stable measurement values through redefined algorithms and reduction of artefact impact, (3) clear and noise-free presentation of values, through a new app for visualization and storage of data.

Approach and implementation

The project was conducted in three steps: (1) development and test of simulation program for in-depth data detection, optical signal analysis, quality assurance of respiration and heart signals, as well as calibration and signal optimization, (2) development of adaptive filter through tracking of multiple frequencies and separation of signal components, (3) system development and construction of visual presentation app based on updated algorithms, redefined user interface and optimization of graph library, bluetooth communication and data storage.