For decades, biomechanics research has run on a simple, exhausting workflow: collect data in a lab, clean it by hand, process it through custom MATLAB scripts, and six to twelve months later, publish.
The bottleneck was never the science. It was the infrastructure between sensor and paper — data cleaning, format translation, IRB audit trails, institutional data-sharing agreements.
The IRB-ready biomechanics pipeline was built to remove that bottleneck.
The collaboration
Notus Labs works with academic biomechanics labs at multiple institutions on a shared research infrastructure: continuous biomechanical sensing through the Notus Labs armband, paired with a publication-grade data pipeline built to research-lab standards.
Participating labs get de-identified data export, IRB-compliant audit trails, and native MATLAB and REDCap integration — plus a shared methodology that keeps data formats compatible across institutions.
What the pipeline does
Raw biomechanical signals stream from the sensor to a secure research environment where institutional IRB protocols govern access. De-identified exports flow directly into MATLAB for custom analysis or REDCap for cohort-level research.
Audit trails, consent versioning, and access logs are captured automatically — giving labs the compliance infrastructure they'd normally build manually, without the engineering overhead.
The pipeline is designed for publication-grade output, not demo-quality exports.
What the pipeline is enabling
Participating labs are publishing biomechanics research four to five times faster than their pre-pipeline baselines. The time savings come entirely from eliminated infrastructure work — the science itself moves at the same pace.
Multi-institutional datasets — historically difficult to assemble because of format mismatches and data-sharing friction — are becoming standard. A cohort study that would have required 18 months of data reconciliation now takes weeks.
Young researchers are getting published earlier. That matters more than the speed alone.
The bottleneck in biomechanics research was never the science. It was the infrastructure between sensor and paper.
What the pipeline enables:
- Continuous biomechanical data exported in publication-ready formats
- IRB-compliant audit trails and consent versioning captured automatically
- Native MATLAB and REDCap integration with no custom engineering
- Multi-institution cohort studies at previously impossible scale
- De-identified datasets shared across partner labs under standardized protocols
Notus Labs doesn't run the research. The participating labs do. Our role is to make sure the infrastructure stops being the reason science is slow.
The labs that have adopted the pipeline have collectively moved from one published paper per researcher per year to something closer to four.