Individual skill

radar-vital-signs

End-to-end pipeline for extracting heart rate (HR) and breathing rate (BR) from raw short-range radar I/Q captures — both continuous-wave (CW, 24 GHz clinical boards) and FMCW mmWave (60/77 GHz, TI IWR/AWR). Use when Claude needs to parse interleaved I/Q binary, do a Range FFT on FMCW chirps, remove static clutter, pick a subject range bin, extract phase with unwrapping, design HR/BR bandpass filters, pick a peak frequency via PSD, reject the HR second harmonic that often dominates the fundamental, or handle respiration-harmonic leakage on slow breathers. Not for pulse/UWB range gating, MIMO beamforming, Doppler-only gesture radar, arrhythmia detection, or multi-subject source separation.

tasks/radar-vital-signs/environment/skills/radar-vital-signs/SKILL.md

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# Radar Vital-Sign Extraction

End-to-end pipeline: raw radar I/Q → cleaned phase signal → HR and BR in bpm.

## Full pipeline (every step, in order)

1. **Parse binary I/Q** into a complex 1-D array (CW) or 2-D range matrix (FMCW). Use the JSON/YAML sidecar to determine format — never assume. See [references/iq-formats.md](references/iq-formats.md).
2. **(FMCW only) Range FFT** across fast-time samples of each chirp → range matrix `R[n_chirp, n_range_bin]`. CW skips this step.
3. **Remove static clutter.** Subtract the temporal mean:
   - CW: `iq -= iq.mean()`
   - FMCW: `R -= R.mean(axis=0, keepdims=True)`
4. **(FMCW only) Pick the subject range bin** within a physical prior window (e.g., 0.3–1.5 m for a seated subject). See [references/range-bin.md](references/range-bin.md).
5. **Extract phase with unwrap:**
   ```python