Biomedical AI Lab

at University of North Texas

We use machine learning to advance medicine, with a history in wearable device analytics to aid clinicians in the treatment of mobility disorders, but a broader mandate to use AI to improve the human condition.

Populations

Parkinson's Disease

Incomplete spinal cord injury

Transfemoral amputees

Cerebral Palsy

Toddlers

Applications

Activity Recognition

Fall Detection and Real-time response

Assessing quality of activities

Posture recognition

Computational Neuroscience

ML Techniques

Tons of ML predictive and unsupervised models

Deep learning (CNN w Keras & Tensorflow)

Kubernetes/Docker orchestration & Parallelisation

HIdden Markov Models

* Formerly the Pervasive and Ambient Computing (PAC) Lab at Loyola University Chicago