Evidence map›Paper›PMID 37353715›Full record

ArticleAnnals of biomedical engineering2023

EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults.

Mohammad Mehdi Alemi, Jacob J Banks, Andrew C Lynch, Brett T Allaire, Mary L Bouxsein, Dennis E Anderson

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. A stiffness-dependent method to estimate spine kinematics and loading reveals the impact of nonlinear mechanics during lifting tasks.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  4. Machine learning outperforms anthropometric scaling in predicting muscle parameters and spinal loading: a subject-specific musculoskeletal modeling study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Mohammad Mehdi AlemiDepartment of Orthopaedic Surgery, Harvard Medical School, Boston, MA, USA. mehdi.alemi41@gmail.com.ORCID http://orcid.org/0000-0002-4257-3566
Jacob J BanksCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Andrew C LynchCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Brett T AllaireCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Mary L BouxseinCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Dennis E AndersonCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Beth Israel Deaconess Medical Center · US

Funding

Influence of Spinal Loading on Vertebral FractureR01AR073019 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BOUXSEIN, MARY L, SNYDER, BRIAN D · 2018 to 2022
$2.8M
Evaluation of a Novel Passive Back-Support Exosuit (BSE) for Back Injury Prevention in Older AdultsF32AG071308 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ALEMI, MOHAMMAD MEHDI · 2021 to 2022
$126k
NIAMS NIH HHS R01 AR073019NIAMS NIH HHS R01AR073019NIA NIH HHS F32 AG071308NIA NIH HHS F32AG071308
6 · The paper itself

Abstract

Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks.

Indexed as

Muscle, SkeletalSpineAgedBiomechanical PhenomenaElectromyographyHumansElectromyography (EMG)Musculoskeletal modelOpenSimThoracolumbar spineValidation

Identifiers

PMID37353715
PMCPMC11426388
OpenAlexW4381839601

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.