Predicting ambulatory energy expenditure in lower limb amputees using multi-sensor methods.

Peter LadlowTom E NightingaleM Polly McGuiganAlexander N BennettRhodri D PhillipJames Lee John Bilzon

Published in: PloS one (2019)

Statistically derived algorithms (GT3X+HR) provide a more valid estimate of PAEE in individuals with traumatic lower-limb amputation, compared to a proprietary group calibration algorithm (AHR). Outputs from AHR displayed considerable random error when tested in a laboratory setting in individuals with lower-limb amputation.

Keyphrases

lower limb
machine learning
deep learning
spinal cord injury
blood pressure
neural network