Project Diagnostics
Research signal processing platform for academic and clinical investigation. Not a medical device—an experimental tool for signal analysis, anomaly detection, and dataset generation in collaboration with Brock University Health Sciences.
Validated Performance
Our medical sensing solution demonstrates reliable detection at concentrations below 0.1% by volume, validated using controlled environment testing protocols with Water Xanthan Gum test methodology.
Performance Metrics
| Detection Limit | < 0.1% by volume |
| Test Protocol | Water Xanthan Gum Method |
| Test Repetitions | 5 Runs |
| Environment | Controlled Laboratory |
Protocol: Controlled environment testing using standardized methodologies to ensure reproducibility and accuracy.
Outcome: Consistent detection accuracy across multiple runs with repeatable results, demonstrating platform reliability for research applications.
What It Does
Project Diagnostics applies the Heimdall detection engine to biological signal analysis. This is a research tool designed to help academic investigators explore signal patterns, generate validated datasets, and document findings for publication. It is not a medical device and is not intended for clinical diagnosis.
Research Platform
The platform provides signal acquisition, pattern recognition, and anomaly detection capabilities for investigative research. Academic partners use the system to explore biological signal characteristics and generate datasets for further study.
- Acoustic signal acquisition and preprocessing for research analysis
- Pattern recognition algorithms for exploratory signal investigation
- Anomaly detection framework for dataset labeling and validation
- Statistical analysis tools for research documentation
Academic Collaboration
Cross-North Dynamics works with Brock University Health Sciences on research methodology and dataset validation. This collaboration provides academic context for biological signal research and access to clinical research environments for experimental studies.
Fluid Characterization (Early Validation)
Scope: Early-stage validation of Heimdall's ability to detect subtle physical property changes in liquid mediums using a physics-based, sensor-fusion approach.
Methodology: Controlled experiments were conducted using a DNA-analog polymer macromolecule dissolved in fluid as a stand-in for biological complexity. This allowed isolation of physical signal response without confounding biological variability.
The system combined:
- Active acoustic excitation to observe changes in mechanical response (e.g., compressibility, viscosity, density proxies)
- Multi-sensor fusion and AI analysis to identify repeatable deviations from baseline fluid behavior
Observations: The platform demonstrated sensitivity to small, controlled changes in fluid composition. Signal deviations were detectable at concentrations below one-tenth of one percent by volume, confirming responsiveness to subtle physical changes in a liquid medium.
Limitations: These tests used inert, non-biological materials only. No biological samples were used, and no diagnostic or clinical claims are implied.
Relevance: This work establishes a physical baseline for future biological research and supports broader applications such as industrial fluid monitoring and pipeline integrity analysis.
Status: Experimental characterization complete. Biological specificity remains an active research objective.
Interactive Atlas
Explore how Heimdall visualizes structural selectivity in a transparent sandbox. This interactive demonstration shows the physics-based detection principles in an educational format.
Open Biophysical Atlas →