K-numberK251881
Device nameHippoMind (v1.0)
ApplicantHippoclinic
Product codeOLT
Device classClass II
Decision dateDec 3, 2025
DecisionSubstantially Equivalent
Regulation882.1400
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

HippoMind (v1.0) is a cloud-based software platform that displays neuroimaging and neurosignaling data (MRI, CT, PET, SPECT, EEG, and MEG) for review by qualified healthcare professionals. It provides tools for analysis, annotation, storage, transfer, and association of data with electronic health records, intended to support clinical decision-making in neurology and neurodiagnostics without providing diagnostic conclusions.

Technological characteristics

HippoMind is a web-based software platform with client-side browser rendering and backend data services (no hardware). For EEG/MEG: it displays waveforms with adjustable gain/sensitivity, per-channel bandpass and notch filtering, manual annotations (lines, boxes, text labels for spikes/seizures), and synchronized video—but lacks automatic event detection. For neuroimaging: it supports MRI, CT, PET, SPECT in DICOM or NiFTI formats with 3D rendering, window/level adjustment, multi-planar reformatting, and overlay capabilities using affine transformation.

Test standards cited

Not stated in this summary.

Substantial equivalence argument

HippoMind is substantially equivalent to three predicates: Natus NeuroWorks (K200878) for EEG review, CTF Whole-Cortex MEG System (K030737) for MEG review, and eUnity (K172490) for neuroimaging review. All are Class II devices under 21 CFR 882.1400 or 892.2050 intended for qualified professionals to review pre-acquired data without providing diagnostic conclusions. Clinical validation showed 100% agreement among three experienced clinicians on signal quality, interpretability, and image quality across 30 EEG and 20 MEG recordings and 61 imaging studies, demonstrating equivalent performance to predicates in review-mode functionality.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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