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Towards Automated Measurement of Rehab Dose and Response

EVENT: 
Weekly Seminar | Not Open to the Public
Who Should Attend: 
Researchers
Event Flyer: 
PDF icon schambra_2-18-25.pdf

Speakers

Associate Professor, Departments of Neurology & Rehabilitation Medicine Director, Division of Neuro-Epidemiology Director, Research Strategy in Neurology Investigator, Neuroscience Institute
NYU Langone Health

Abstract

Careful measurement of dose and response is a central tenant of biomedical research, but is largely lacking in current rehabilitation practice after stroke. A major rate limiting step has been the availability of precise, practical tools to measure upper limb movements (dose) and movement quality (response) in rehabilitating stroke patients. In this talk, Dr. Schambra will discuss work in her lab to build these tools. She will discuss the concept of movement primitives as fundamental units of measure, the design of deep learning approaches to count and appraise primitives from inertial sensor data, and new directions using video-based motion capture.

Publications

Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi Schambra, Carlos Fernandez-Granda
Quantifying impairment and disease severity using AI models trained on healthy subjects
NPJ Digital Medicine
Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Emily Fokas, Boyang Yu, Grace Kim, Dawn Nilsen, Carlos Fernandez-Granda, Heidi Schambra
Data-Driven Quantitation of Movement Abnormality after Stroke
Bioengineering
Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi Schambra
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training
PLOS Digital Health

When

Tuesday, February 18, 2025 - 12:30pm

Where

Conference Room: 
Billings Building – Rosedale

More Information

Darlene White