Getting Started

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What it does

• EEG window features (WASM): band powers, spectral entropy, dominant frequency, alpha peak, Hjorth parameters, and quality flags
• HRV and robust statistics: time-domain HRV, medians and MADs, rolling personal baselines
• Headline scores: Measurement Quality, Activation, Recovery, Focus, Readiness, and Resilience, each with its contributors exposed
• A metric registry: every metric has a registered definition, unit, evidence tier, and algorithm version

# Not on npm yet. This command works after the first release.
npm install @elata-biosciences/biosignal-analytics

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Analyze an EEG window

import { analyzeEeg, initAnalyticsWasm } from '@elata-biosciences/biosignal-analytics';

await initAnalyticsWasm();

const result = await analyzeEeg({
  samples,                        // samples[sampleIndex][channelIndex]
  sampleRateHz: 256,
  channels: ['TP9', 'AF7', 'AF8', 'TP10'],
});

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Headline scores

• Measurement Quality describes the recording, not the person, and is always available.
• Activation, Recovery, Focus, Readiness, and Resilience each list every contributor with its weight, z-score, and quality.
• A score withholds itself (returns null with a reason) rather than guessing when inputs are missing, quality is poor, or there’s no personal baseline yet.

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Run analysis off the main thread

import {
  createAnalyticsWorkerClient,
  launchAnalyticsWorker,
} from '@elata-biosciences/biosignal-analytics';

const client = createAnalyticsWorkerClient({ createWorker: launchAnalyticsWorker });

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Entry points