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Summer 2020 - Erik Henricson, PhD
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"The overall goal of this project is to develop new and innovative mobile device-compatible methodologies based on low-cost easily obtained accelerometers and machine learning algorithm technologies with the objective of providing cost-efficient tools to allow consumers, clinicians and researchers to better evaluate the community mobility of people with neuromuscular diseases in clinical and research settings."
Erik Henricson, Assistant Professor of Physical Medicine and Rehabilitation at the University of California, Davis, was awarded an MDA Clinical Research Grant totaling $427, 822 to develop an automated sensor technology to evaluate ambulatory function in people with neuromuscular disease in the home, community, and clinical settings.
A number of potential therapies are in clinical development for neuromuscular diseases, with a growing recognition that treatment benefit will be greater the earlier it is initiated. Although many children are being diagnosed as toddlers or younger, they are rarely included in clinical trials because of the lack of reliable clinical endpoints for longitudinal follow-up.
Dr. Henricson has developed a machine learning algorithm that calibrates data from a single small sensor to determine gait characteristics, even in children, with a high degree of accuracy. In this project he will work with male and female patients with DMD, BMD, SMA, FSHD and CMT to further the development of this reliable, unobtrusive, easy-to-use, portable, and cost-effective technology that pairs with the patient’s own mobile device.
https://doi.org/10.55762/pc.gr.140910
Grantee: Machine Learning of Neuromuscular Disease Gait Parameters from Single Sensors - Erik Henricson, PhD
Grant type: Neuromuscular Disease Clinical Research Grant
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