Evidence-driven testing for a clinically defensible prototype.
The validation plan checks whether the wearable tracker is accurate, repeatable, comfortable, and robust enough for physiotherapy workflows. It combines controlled gait trials, engineering stress tests, and usability feedback.
Gait Event Detection
Validate heel-strike and toe-off detection across repeated walking trials and speed conditions.
- Controlled treadmill or walkway trials
- Repeated sessions per participant
- Accuracy, false positives, false negatives, and timing error
Synchronization & Latency
Confirm that multiple nodes remain aligned while the dashboard receives results fast enough for real-time use.
- Inter-node skew measurements
- Wireless interference and packet-dropout stress tests
- End-to-end latency from acquisition to dashboard
Repeatability
Check whether the same subject and protocol produce stable metrics across sessions and sensor placements.
- Same-subject repeated trials
- Sensor repositioning variability
- Stride time, symmetry index, and range-of-motion consistency
Clinical Usability
Evaluate whether the system fits naturally into a physiotherapy session without adding unnecessary friction.
- Setup time and calibration success rate
- Comfort scoring during walking tasks
- Clinician interpretation of dashboard outputs
Power & Hardware Stability
Measure whether the wearable nodes can operate reliably for complete sessions without thermal or battery issues.
- Continuous endurance tests
- Battery discharge profiling
- Thermal monitoring under sustained acquisition
Data Integrity & Privacy
Verify that session data remains complete, exportable, and stored with minimal identifying information.
- Local-first storage checks
- CSV/PDF export verification
- Pseudonymized session logging
A repeatable path from trial setup to documented result.
Each validation session follows a consistent structure so measurements can be compared across subjects, days, and prototype revisions.
Ensures detected steps are reliable enough for session summaries.
Limits event timing uncertainty during phase and cadence estimation.
Keeps multi-node signals aligned for segment-level comparison.
Reduces missing samples and preserves session continuity.
Supports real-time indicators in the clinician dashboard.
Controlled trials, signal quality checks, and baseline algorithm accuracy.
Setup, comfort, calibration, dashboard interpretation, and export review.
Repeated sessions over time to evaluate progress tracking and repeatability.
Comparison against reference systems or annotated datasets when available.
Every dashboard metric should be traceable to a test.
Validation is integrated into firmware, synchronization, signal processing, and interface design so the final prototype is measurable rather than merely demonstrable.
- Engineering reliability: timing, packet integrity, power, and robustness.
- Clinical reliability: event accuracy, repeatability, and interpretability.
- Workflow reliability: setup time, comfort, exportability, and documentation quality.