QIF-T0078
highLiDAR remote pulse detection (laser Doppler vibrometry for cardiac waveform extraction)
Tier 5 — Theoretical (Modeled / Simulated)
Legacy status: THEORETICAL
The iPhone LiDAR scanner uses a VCSEL (vertical-cavity surface-emitting laser) array emitting pulsed 940nm infrared laser light and a SPAD (single-photon avalanche diode) detector array measuring time-of-flight. In normal operation, it measures depth for AR applications. However, the same hardware can function as a simplified laser Doppler vibrometer (LDV): when the laser beam reflects off skin, the pulse wave from cardiac activity causes micro-vibrations (amplitude ~1-10 µm) on the skin surface. These vibrations create measurable Doppler shifts or time-of-flight variations in the reflected laser signal. Extracting the cardiac pulse waveform from LiDAR data requires raw access to the SPAD photodetector output (timing resolution in picoseconds) rather than the processed depth map. This requires either a jailbreak, hardware teardown, or compromised firmware. The extracted pulse waveform contains: heart rate, heart rate variability (HRV), pulse transit time (correlated with blood pressure), and potentially cardiac arrhythmia signatures. Unlike QIF-T0075 (ultrasonic sonar), this is optical and directional, requiring line-of-sight but working at greater precision for skin-surface vibrations. Range is limited to ~5m (LiDAR operational range) but could be extended with higher-power laser sources.
Technique Details
- Tactic
- QIF-S.HV
- Status
- THEORETICAL
- Bands
- S1, S2, S3
✚ Therapeutic Application
iPhone VCSEL LiDAR array measures skin surface micro-vibrations via Doppler shift in reflected 940nm laser; pulse waveform extracted from raw SPAD photodetector timing data
Clinical Analog
Laser Doppler vibrometry for contactless cardiac monitoring
Treats
- contactless vital sign monitoring in burn units
- neonatal heart rate monitoring (no adhesive sensors)
- remote triage in mass casualty events
- sleep lab cardiac monitoring
Neural Impact
3 of 7 neural bands affected
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Scoring
NISS:1.1/BI:N/CR:N/CD:N/CV:E/RV:F/NP:N CVSS:4.0/AV:L/AC:H/AT:P/PR:H/UI:N/VC:H/VI:N/VA:N/SC:L/SI:N/SA:N Governance
Neurorights at Risk
This technique threatens 2 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS partially captures risk; neural dimensions missing
- ! Threat not yet in regulatory threat catalogs
Population Vulnerability
CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.
| Population | NISS Base | Adjusted | Severity | Delta |
|---|---|---|---|---|
| Adult (Default) | 1.4 | 1.4 | Low | - |
| Child (10yr) + ADHD | 1.4 | 1.6 | Low | +0.25 |
| Adult with ALS | 1.4 | 1.6 | Low | +0.23 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.