Quantifying intra- and interlimb use during unimanual and bimanual tasks in persons with hemiparesis post-stroke.

Susan V DuffAaron MillerLori QuinnGregory YoudanLauri BishopHeather RuthrauffEric Wade

Published in: Journal of neuroengineering and rehabilitation (2022)

Our algorithm and sensor data analyses distinguished task type within and between groups and were predictive of clinical scores. Future work will assess reliability and validity of this novel metric to allow development of an easy-to-use app for clinicians.

Keyphrases

machine learning
electronic health record
palliative care
current status
deep learning
big data
data analysis
artificial intelligence