Evidence map›Paper›PMID 36792238›Full record

ArticleMedical engineering & physics2023

A simplified model for whole-body angular momentum calculation.

Ming Liu, Amirreza Naseri, I-Chieh Lee, Xiaogang Hu, Michael D Lewek, He Huang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical engineering & physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Investigating the Association of Quantitative Gait Stability Metrics With User Perception of Gait Interruption Due to Control Faults During Human-Prosthesis Interaction.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    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

6 authors at 1 institution in 1 country.

Ming LiuJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States. Electronic address: mliu10@ncsu.edu.
Amirreza NaseriJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States.
I-Chieh LeeJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States.
Xiaogang HuJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States.
Michael D LewekJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States.
He HuangJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, North Carolina, United States.
North Carolina State University · US

Funding

Error Tolerance in Wearer-Robot SystemsR01EB024570 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HUANG, HE · 2018 to 2022
$1.8M
NIBIB NIH HHS R01 EB024570
6 · The paper itself

Abstract

The capability to monitor gait stability during everyday life could provide key information to guide clinical intervention to patients with lower limb disabilities. Whole body angular momentum (L

Indexed as

GaitLower ExtremityAmputation, SurgicalBiomechanical PhenomenaHumansMotionAngular momentumGait stabilityRigid body modelWearable system

Identifiers

PMID36792238
PMCPMC9970829
OpenAlexW4313430540

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.