Evidence map›Paper›PMID 35770821›Full record

ArticleComputer methods in biomechanics and biomedical engineering2023

The impact of intrinsic muscle properties on simulated reaching performance.

Tiina Murtola, Christopher Richards

Open access · hybridAbstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

2 authors at 1 institution in 1 country.

Tiina MurtolaDepartment of Comparative Biomedical Sciences, Royal Veterinary College, London, UK.ORCID 0000-0002-6641-2150
Christopher RichardsDepartment of Comparative Biomedical Sciences, Royal Veterinary College, London, UK.ORCID 0000-0002-1908-3577
Royal Veterinary College · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simulations suggest that more realistic, higher-order activation dynamics requires longer prediction from a forward model and gives rise to a higher level of unplanned co-contraction than simple activation models. Consistent with prior work, muscle force-length-velocity properties stabilised and smoothed limb movements and furthermore helped promote accurate reaching performance with the high-order activation model.

Indexed as

Models, BiologicalMuscle, SkeletalMovementUpper Extremityactivation dynamicsco-contractionHill-type muscle modelMuJoConeuromuscular control

Identifiers

PMID35770821
PMCPMC10153064
OpenAlexW4283745254

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.