Physiological data punishes silent assumptions. A filter setting, an artifact-rejection threshold, or a misaligned event marker can quietly reshape every downstream statistic. Neutropic's signal pipelines are built to keep those decisions loud.
From raw recordings to clean signals
Import EDA, ECG, respiration, or eye-tracking recordings and the agent proposes a preprocessing pipeline — filtering, artifact handling, epoching around your event markers — as explicit, editable steps. Nothing is applied silently; every choice is stated and revisable.
Multimodal alignment
Recordings from different devices rarely agree about time. Neutropic aligns signals to a shared timeline using your sync markers and shows you the alignment before analysis, so a 200 ms offset never becomes a spurious finding.
Features and statistics in one place
- SCR counts and amplitudes, tonic and phasic EDA decomposition.
- Time- and frequency-domain HRV measures with the recording-length caveats attached.
- Facial action-unit intensities and gaze metrics per condition and epoch.
Feature tables flow straight into mixed models or condition comparisons, and the review agent checks the statistical assumptions like it does for any analysis.
Honest about uncertainty
Where the field disagrees — HRV metrics on short recordings, EDA decomposition methods — Neutropic says so and cites the methodological literature, instead of presenting one lab's convention as ground truth.
