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There are two different things in this area, with different statuses:

From signals to features

Before any score, the SDK computes features: well-defined, reproducible numbers.
  • EEG window features: band powers (absolute, relative, log), spectral entropy, dominant frequency, alpha peak, Hjorth parameters, and quality flags
  • Pulse features: heart rate, RMSSD, SDNN, and signal quality
  • Robust statistics: medians and median absolute deviations instead of means, so one bad sample doesn’t skew the result
  • Personal baselines: a rolling 30-day median and range for each person, with outlier rejection

SDK headline scores

Experimental. biosignal-analytics is available as source code and may change before its first npm release.
These are product interpretations, never measurements, and the SDK says so. Two design rules keep them honest:
  1. Every contributor is visible. Each score exposes its inputs with their weights, standardized values, and quality.
  2. Scores withhold themselves. Instead of guessing, a score returns no value plus a reason when it can’t be computed responsibly:
A missing input never silently becomes a neutral middle value.

The biometric Score on Elata

The Score is a single number from 0 to 100 that reflects a user’s results across all the apps they use, only if they opt in. How it’s built:
  • Apps report derived session results, never raw signal. A report says, for example, that the user’s calm level went from 0.42 at baseline to 0.61 during a five-minute session, with its signal quality and confidence.
  • Improvement relative to the user’s own baseline matters, not absolute values that differ between people.
  • Low-quality sessions are dropped, and the Score shows as “calibrating” until there are enough good sessions to be stable.
  • Consent is checked on the server for every report, so an app can’t contribute without it.
  • Only approved apps can contribute. An app needs a permission granted by Elata before its reports count.
See Privacy and consent and, for builders, Consent and insights.

Sources