In:
Frontiers in Aging Neuroscience, Frontiers Media SA, Vol. 13 ( 2021-11-16)
Abstract:
Background: Frail older adults have an increased risk of adverse health outcomes and premature death. They also exhibit altered gait characteristics in comparison with healthy individuals. Methods: In this study, we created a Fried’s frailty phenotype (FFP) labelled casual walking video set of older adults based on the West China Health and Aging Trend study. A series of hyperparameters in machine vision models were evaluated for body key point extraction (AlphaPose), silhouette segmentation (Pose2Seg, DPose2Seg, and Mask R-CNN), gait feature extraction (Gaitset, LGaitset, and DGaitset), and feature classification (AlexNet and VGG16), and were highly optimised during analysis of gait sequences of the current dataset. Results: The area under the curve (AUC) of the receiver operating characteristic (ROC) at the physical frailty state identification task for AlexNet was 0.851 (0.827–0.8747) and 0.901 (0.878–0.920) in macro and micro, respectively, and was 0.855 (0.834–0.877) and 0.905 (0.886–0.925) for VGG16 in macro and micro, respectively. Furthermore, this study presents the machine vision method equipped with better predictive performance globally than age and grip strength, as well as than 4-m-walking-time in healthy and pre-frailty classifying. Conclusion: The gait analysis method in this article is unreported and provides promising original tool for frailty and pre-frailty screening with the characteristics of convenience, objectivity, rapidity, and non-contact. These methods can be extended to any gait-related disease identification processes, as well as in-home health monitoring.
Type of Medium:
Online Resource
ISSN:
1663-4365
DOI:
10.3389/fnagi.2021.757823
DOI:
10.3389/fnagi.2021.757823.s001
DOI:
10.3389/fnagi.2021.757823.s002
DOI:
10.3389/fnagi.2021.757823.s003
DOI:
10.3389/fnagi.2021.757823.s004
DOI:
10.3389/fnagi.2021.757823.s005
DOI:
10.3389/fnagi.2021.757823.s006
DOI:
10.3389/fnagi.2021.757823.s007
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2021
detail.hit.zdb_id:
2558898-9
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