Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review.

Wenbo GeChristian J LueckDeborah ApthorpHanna Suominen

Published in: Brain and behavior (2020)

This review identified promising features for analysis of postural sway in PD, recommending a sampling rate of 100 Hz and studying patients when OFF to maximize ES. ES complements statistical significance as it is clinically relevant and is easily compared across experiments. We suggest that machine learning is a promising tool for the future analysis of postural sway in PD.

Keyphrases

machine learning
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
artificial intelligence
big data