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We use machine learning to advance medicine, with a history in wearable device analytics to aid clinicians in the treatment of mobility disorders, as well as broadly using AI to improve health outcomes.
We use machine learning to advance medicine, with a history in wearable device analytics to aid clinicians in the treatment of mobility disorders, as well as broadly using AI to improve health outcomes.
Populations
Populations
Parkinson's Disease
Incomplete spinal cord injury
Transfemoral amputees
Cerebral Palsy
Toddlers
Applications
Applications
Activity Recognition
Fall Detection and Real-time response
Assessing quality of activities
Posture recognition
Computational neuroscience
ML Techniques
ML Techniques
ML predictive and unsupervised models
Deep learning (CNN/RNN, Transformer architectures, autoencoders)
Kubernetes/Docker Orchestration & Parallelisation
Hidden Markov Models
* Formerly the Pervasive and Ambient Computing (PAC) Lab at Loyola University Chicago
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