Abstract
We give an overview of the analytics pipeline that transforms raw MCT - 1 biosignals into personalized, interpretable insights, from ingestion to communication.
From raw to ready
Continuous sensing produces a firehose of raw signal. The first stage cleans and aligns these streams, correcting for artifacts and synchronizing channels so downstream models see a coherent picture.
Modeling and personalization
Next, personalized models learn each individual's baseline and detect meaningful deviations, integrating multiple signals rather than relying on any one channel.
Communicating insight
Finally, results are translated into clear trends and likely triggers in the app — with uncertainty made visible, so insights support decisions rather than overstate certainty.
Related: explore the MCT - 1 biosensor and our research overview.