Computational models, dashboards, derivations, and interactive graphs used across FGCU biomedical engineering courses.
Each class is a folder on main. Open the folder for that course, then click the visualization file (or the GitHub Pages link in the class README).
| Class folder | Topic | Open visualization |
|---|---|---|
bioperformance-of-materials/ |
Bioperformance of Materials — GO fibroblast recovery synthesis | dashboard.html |
biofluid-mechanics/ |
Biofluid Mechanics — rheology, hydrostatics, capillary rise | dashboard.html |
medical-instrument-architecture/ |
Medical Instrument Architecture — IEC 60601 signal chain | architecture.html |
biomedical-signal-models/ |
Biomedical Signal Models — loading, linearity, CMRR, noise; filter bank (HPF/LPF/band-pass/notch) | visualizations.html · filter-bank.html |
biomechanics/ |
Biomechanics — sagittal-plane knee torque and patellar-tendon force | simulator.html |
Catalog homepage: jonnyterrero.github.io/BME-Visualizations
After merge, enable GitHub Pages once: repo Settings → Pages → Source: GitHub Actions. Until Pages is on, open any dashboard with htmlpreview or download the .html file and open it locally.
- Click a class folder in this repository.
- Read that folder's
README.mdfor what the model covers. - Open the HTML visualization from GitHub Pages, or download the file and open it in a browser.
GitHub's file browser shows HTML as source. Use the Pages links above (or open the .html files locally) to actually run the dashboards.
Python source for the signal-model figure is in biomedical-signal-models/. The Graphene Oxide slide deck lives under bioperformance-of-materials/graphene-oxide-presentation/.