Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors

Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors

Quantitative assessments of patient movement quality in osteoarthritis (OA), specifically spatiotemporal gait parameters (STGPs), can provide in-depth insight into gait patterns, activity types, and changes in mobility after total knee arthroplasty (TKA). A study was conducted to benchmark the abili...

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Bibliographic Details
Main Authors: Mohsen Sharifi Renani, Casey A. Myers, Rohola Zandie, Mohammad H. Mahoor, Bradley S. Davidson, Chadd W. Clary
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
deep learning
convolutional neural network
gait analysis
total knee arthroplasty
wearable sensors
Online Access:https://www.mdpi.com/1424-8220/20/19/5553

Internet

https://www.mdpi.com/1424-8220/20/19/5553

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