Wearable Signal Tools · Signal quality
NHCT-M1 (PPG SQA + gated abstention)
wrist PPG signal-quality assessment with gated abstention (synthetic-degradation benchmark)
What is NHCT-M1 (PPG SQA + gated abstention)?
MIT Python prototype for wrist PPG signal-quality assessment that scores windows, picks a cost-aware gate threshold, and abstains instead of hard-emitting on bad signal. Trains logistic regression on five handcrafted features over synthetically degraded 64 Hz wrist PPG (motion, baseline drift, clipping, dropout, HF noise); reports AUROC, coverage–risk, and Youden-threshold sensitivity/specificity. Stage-M1 of NHCT (quality-aware adaptive haptic breathing guidance).
NHCT-M1 (PPG SQA + gated abstention) at a glance
- Signals
- Category
- Signal quality · also simulation and synthetic data
- Domains
- artifact removal, respiration
- Language
- Python
- Licence
- MIT
- Commercial use
- yes
- Maintenance
- Commit in the last 12 months (as of Oct 21, 2026)
- Last commit
- Nov 6, 2026
- Latest release
- No published releases
- Repository
- Not archived
Code & repos
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Summary, licence and commercial-use fields are shown as recorded for this project. Maintenance is computed from the last commit date. Check the project’s own repository for its current licence and status.