U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Sensitivity of Musculoskeletal Model-Based Lumbar Spinal Loading Estimates to Type of Kinematic Input and Passive Stiffness Properties



Details

  • Personal Author:
  • Description:
    The study investigated the potential for obtaining more accurate spine joint reaction force (JRF) estimates from musculoskeletal models by incorporating dynamic stereo X-ray imaging (DSX)-based in vivo lumbar vertebral rotational and translational kinematics compared to generic, rhythm (RHY)-based kinematics, while also observing the influence of accompanying inputs: intervertebral segment stiffness and neutral state. A full-body OpenSim® musculoskeletal model, constructed by combining existing lower- and upper-body models, was driven based on one volunteer's (female; age 25; 60.8 kg; 176 cm) anthropometrics and kinematics from a series of upright standing and straight-legged dynamic lifting tasks. The lumbar spine portion was modified in a step-wise manner to observe effects of: (1) RHY vs. DSX lumbar kinematics; (2) No disc (bushing) stiffness (NBS); generic, linear bushing stiffness (LBS); subject-specific nonlinear bushing stiffness (NLBS); (3) Upright standing (UP) vs. Supine (SUP) neutral state; (4) Weight lifted: 4.5 kg vs. 13.6 kg. L4L5 JRF from 24 model variations based on combinations of aforementioned parameters were compared. Rhythm-based kinematics without translational components tends to over-predict JRF (31% and 39% for compression and shear, respectively) compared to DSX-based kinematics. Additionally, differences due to accompanying passive stiffness and neutral state choice combinations were even larger (>50%), indicating heightened demand on the quality of these accompanying inputs. The study not only highlights model sensitivity to choices made regarding the three primary inputs-kinematics, passive stiffness and neutral state- separately, but also how interactions between these choices can result in significant variability in joint loading estimates. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0021-9290
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Volume:
    102
  • NIOSHTIC Number:
    nn:20068418
  • Citation:
    J Biomech 2020 Mar; 102:109659
  • Contact Point Address:
    Ameet K. Aiyangar, Mechanical Systems Engineering, EMPA-Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, 8600, Duebendorf, Switzerland
  • Email:
    ameet.aiyangar@empa.ch
  • Federal Fiscal Year:
    2020
  • Performing Organization:
    University of Pittsburgh at Pittsburgh
  • Peer Reviewed:
    True
  • Start Date:
    20110901
  • Source Full Name:
    Journal of Biomechanics
  • End Date:
    20140831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:e4e2a212741e70725ea28a4bfabb9e9c47cf1ee11c430fe75f9aa790bc1a98ae7fa5697f9498e70c840047a64f972a3114429360242ae2a56d8320c9c5119779
  • Download URL:
  • File Type:
    Filetype[PDF - 2.81 MB ]
PREVIOUS
ON THIS PAGE
Details
CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP