Pick your reviewer name and dataset once, then open a case whenever you want to review it -- with AI-assisted suggestions and postmenstrual age estimation available alongside your own manual review. Every screenshot below is from the app running against a synthetic (fake, non-patient) recording, so you can compare it against your own screen without seeing anyone's real data here.
detectQS.exe
— expected for a small independent tool without a paid
publisher certificate, not a sign anything's wrong. Click
More info, then Run anyway.
This is the app's home screen. Enter your reviewer name once (it's remembered for next time, and every SWC annotation you confirm gets attributed to it) -- cases can't be opened until it's filled in.
Click Change Dataset Folder... and browse to
wherever your recordings live -- detectQS scans it for case
folders (each one containing the EEG/impedance signal files
and a studyinfo.xml) and lists what it finds.
You only need to do this once; it's remembered between
launches.
Clicking a case opens the full review window: aEEG traces for both hemispheres up top, a slider to move through the recording two hours at a time, and impedance or raw EEG underneath (toggle between them from the Bottom Graph Settings tab). A colored badge above the traces always shows which of two modes a click currently means: with Annotate SWC off, hover the aEEG trace to live-preview the raw EEG at any point and click to lock it in; switch Annotate SWC on to draw and confirm Sleep‑Wake Cyclicity intervals directly on the trace instead, and they save automatically as you go.
Suggest Annotations (AI) proposes candidate Sleep‑Wake Cyclicity intervals for both hemispheres at once (shown in purple, distinct from your own confirmed intervals) -- click into one to accept, adjust, or reject it, or dismiss the whole batch with Clear AI Suggestions if it doesn't look right. Nothing is saved to the case until you confirm it yourself. If more than one model is available, a dropdown next to the button lets you pick between them.
The PMA Assessment tab, right next to SWC Annotation, covers postmenstrual age two ways: pick the four Burdjalov scale components yourself (a dropdown each, not a scroll wheel) for a reference range, or click Run AI - PMA Estimation for an independent model-based estimate -- useful as a sanity check against each other, or as a starting point on a case you haven't annotated yet.
Want to see how detectQS handles your own data folder structure before requesting access? This is the exact synthetic recording used in the screenshots above -- entirely fake signal, safe to poke at, no license key required.
Download synthetic EDF dataset