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Evaluation of ground reaction forces and centers of pressure predicted by AnyBody Modeling System during load reaching/handling activities and effects of the prediction errors on model-estimated spinal loads
被引:3
|作者:
Daroudi, S.
[1
]
Arjmand, N.
[1
,3
]
Mohseni, M.
[1
]
El -Rich, M.
[2
]
Parnianpour, M.
[1
]
机构:
[1] Sharif Univ Technol, Dept Mech Engn, Tehran, Iran
[2] Khalifa Univ, Healthcare Engn Innovat Ctr, Dept Mech Engn, Abu Dhabi, U Arab Emirates
[3] Sharif Univ Technol, Tehran 111559567, Iran
关键词:
Ground reaction force;
Center of pressure;
AnyBody Modeling System;
Material handling activities;
Spine loads;
NEURAL-NETWORK;
EQUATION;
MOMENTS;
TOOLS;
BODY;
D O I:
10.1016/j.jbiomech.2024.111974
中图分类号:
Q6 [生物物理学];
学科分类号:
071011 ;
摘要:
Full-body and lower-extremity human musculoskeletal models require feet ground reaction forces (GRFs) and centers of pressure (CoPs) as inputs to predict muscle forces and joint loads. GRFs/CoPs are traditionally measured via floor-mounted forceplates that are usually restricted to research laboratories thus limiting their applicability in real occupational and clinical setups. Alternatively, GRFs/CoPs can be estimated via inverse dynamic approaches as also implemented in the Anybody Modeling System (AnyBody Technology, Aalborg, Denmark). The accuracy of Anybody in estimating GRFs/CoPs during load-handling/reaching activities and the effect of its prediction errors on model-estimated spinal loads remain to be investigated. Twelve normal- and over-weight individuals performed total of 480 static load-handling/reaching activities while measuring (by forceplates) and predicting (by AnyBody) their GRFs/CoPs. Moreover, the effects of GRF/CoP prediction errors on the estimated spinal loads were evaluated by inputting measured or predicted GRFs/CoPs into subject-specific musculoskeletal models. Regardless of the subject groups (normal-weight or overweight) and tasks (load-reaching or load-handling), results indicated great agreements between the measured and predicted GRFs (normalized root-mean-squared error, nRMSEs < 14% and R-2 > 0.90) and between their model-estimated spinal loads (nRMSEs < 14% and R-2 > 0.83). These agreements were good but relatively less satisfactory for CoPs (nRMSEs < 17% and 0.57 < R-2 < 0.68). The only exception, requiring a more throughout investigation, was the situation when the ground-foot contact was significantly reduced during the activity. It appears that occupational/clinical investigations performed in real workstation/clinical setups with no access to forceplates may benefit from the AnyBody GRF/CoP prediction tools for a wide range of load-reaching/handling activities.
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