Synchronize and quantify thousands of hours of signal data from wearables, audio, video to extract and validate digital biomarkers.
Built-in functions address the hard real-world data quality issues like clock synchronization, clock drift, sensor malfunctioning, sensor misplacement, and multi-sensor data harmonization that limit using data.
REVEAL Digital delivers:
- Agility: Reduce the data wrangling and programming challenges QA’ing, accessing, and co-analyzing thousands of hours of clinical and natural studies data from diverse sensors and video. GUIs and intuitive APIs support selecting and viewing aligned streams of data at time-stamps or events.
- Scalability: Automated parallel processing of signal processing filters and functions.
- Extensibility: Add new data and device types. Deploy any R, Python signal processing and machine-learning libraries.
- Cost-effectiveness: Reduce TCO, including far lower computing costs with Burst Mode™ computing for harmonizing data. We are driven to optimize algorithm performance to increase performance and reduce costs, year over year.
- Reproducibility: Version raw, QA’d, and processed data. Guaranteed data integrity and security in a transaction safe and secure multi-user environment.
- Scientific Results: Evidence for validating novel digital endpoints and automatically quantifying disease progression using sensors and analytics.