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SENSING & ANALYSIS

A smaller interface.
Not a smaller question.

An in-ear EEG research foundation, with a contextual intelligence layer around the records it generates.

IN-EAR LOCATIONSENSING CONCEPTConceptual sensing-location illustration. No production design, fit specification or sensor count is implied.

THE IN-EAR EEG FOUNDATION

Brain activity.
An in-ear approach.

MZR’s research describes a discreet in-ear electroencephalogram sensor for brain monitoring and sleep-related research.

The form factor changes the sensing interface. It does not remove the need to evaluate contact, acquisition conditions, signal quality and the intended use.

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DIFFERENT MODELS. DIFFERENT RESPONSIBILITIES.

Signal processing is not
language reasoning.

A responsible system should distinguish what was measured, what an algorithm estimated, and what a language model wrote.

1
Acquisition

The device records.

In-ear EEG sensing research, session identity, timing, contact conditions and acquisition metadata.

The physical measurement layer
2
Signal analysis

Algorithms characterize.

Quality screening, exclusions and versioned signal-derived features, evaluated against the intended research task.

Task-specific models and explicit calculations
3
Contextual AI

Language models connect.

Authorized summaries, diaries, protocols and review history assembled into cited questions, comparisons and drafts.

Long-context reasoning and retrieval
4
Qualified review

People interpret.

Inspect the evidence, resolve uncertainty, approve interpretation and decide what is appropriate to share.

Human authority and accountability

No standalone language model is presented as a raw EEG decoder, clinical decision-maker or substitute for device validation.

BEFORE A SUMMARY, AN ACQUISITION QUESTION

Keep the limits
in the record.

Contact & fit context

Retain information about how a recording was acquired. Do not treat an uncertain contact condition as a neurological event.

Time & session identity

Link events to the right recording, interval and analysis version. Approximate diary times remain approximate.

Exclusions & missingness

Keep unreviewable segments visible. A missing signal must not be silently replaced by a generated explanation.

Reference & evaluation

Define the task and evaluation population. Claims of stage accuracy, equivalence or clinical utility require supporting evidence.

AN OVERNIGHT RECORD, IN CONTEXT

Follow a night.
Keep the gaps visible.

Select a moment in an authored recording. See how acquisition records, a diary, and a reviewer question tell different parts of the story.

STUDY S-014 / NIGHT N-02SYNTHETIC SIGNAL · AUTHORED RECORDS
ILLUSTRATIVE TRACE / NOT TO SCALE
RECORDING GAP
22:0000:0002:0004:0006:00

Capture context

Start with the recording—not a score.

The source window starts at 22:00. A review needs the device session, recording identifier, and analysis version before it can interpret any derived result.

Demonstration only. No patient data, live acquisition, diagnostic inference or model request is used on this website.

THE REVIEWABLE OUTPUT

A record that travels
with its interpretation.

EXAMPLE / REVIEW OBJECT

Context that survives
the handoff.

Not a diagnosis. A structured record of what a reviewer can inspect.

recording_id
S-014 / N-02
source_interval
01:10–01:34
quality_status
Excluded / pending technical review
observation
Capture gap is recorded
interpretation
Not established
reviewer_action
Inspect acquisition context
approval_status
Pending

THE NEXT QUESTION IS WORTH EXPLORING

Let’s bring more
context to the signal.

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