High resolution data is meaningless without robust systems to analyze and interpret the data sets. ORCATECH uses algorithms to make sense of the large amounts of high resolutions data generated by our technology platform.

Automated data-culling and project-tailored algorithms are developed by our researchers to accurately reflect the target health information. Although our researchers primarily work with the data generated by our technology platform, we also provide data mining services to outside organizations who want to analyse their existing data.

This graph estimates the probability that a study participant will walk at a certain speed following a stroke. Using aggregate data from hundreds of ambient walking speed measurements, we can see that this participant's walking speed slowed down and became less variable than it had been before the stroke.  (Austin, Hayes, Kaye, Mattek & Pavel, 2011)