Analysis Models - Elata Docs

WasmAlphaBumpDetector

Detects alpha bumps — transient increases in alpha band power that indicate state transitions.

import { initEegWasm, WasmAlphaBumpDetector } from "@elata-biosciences/eeg-web";

await initEegWasm();

const detector = new WasmAlphaBumpDetector();

// Feed samples and check for bumps
const bumpDetected = detector.process(samples, sampleRateHz);

WasmAlphaPeakModel

Tracks the individual alpha peak frequency (typically 8-13 Hz) which varies per person.

import { WasmAlphaPeakModel } from "@elata-biosciences/eeg-web";

const model = new WasmAlphaPeakModel();

// Feed EEG data to refine peak estimate
model.process(samples, sampleRateHz);
const peakHz = model.peak_frequency();

WasmCalmnessModel

Computes a calmness score based on the ratio of alpha to beta power — higher alpha relative to beta generally indicates a more relaxed state.

import { WasmCalmnessModel } from "@elata-biosciences/eeg-web";

const model = new WasmCalmnessModel();

model.process(samples, sampleRateHz);
const score = model.score(); // 0.0 to 1.0

AthenaWasmDecoder

Decodes raw Athena protocol packets from Muse S (Athena firmware) headbands. Used as a factory parameter for BleTransport:

import { AthenaWasmDecoder } from "@elata-biosciences/eeg-web";

const decoder = new AthenaWasmDecoder();

decoder.reset();
decoder.set_use_device_timestamps(true);
decoder.set_clock_kind("monotonic");
decoder.set_reorder_window_ms(50);

const output = decoder.decode(rawBytes);

The Athena decoder is typically not used directly — it’s passed as a factory to BleTransport:

import { BleTransport } from "@elata-biosciences/eeg-web-ble";
import { AthenaWasmDecoder } from "@elata-biosciences/eeg-web";

const transport = new BleTransport({
  deviceOptions: {
    athenaDecoderFactory: () => new AthenaWasmDecoder(),
  },
});