Evidence map›Paper›PMID 33224270›Full record

ArticleApplied bionics and biomechanics2020

An Extensive Set of Kinematic and Kinetic Data for Individuals with Intact Limbs and Transfemoral Prosthesis Users.

Seyed Fakoorian, Arash Roshanineshat, Poya Khalaf, Vahid Azimi, Dan Simon, Elizabeth Hardin

Open access · goldAbstract read
In one paragraph

Article in Applied bionics and biomechanics, 2020. 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
0.4field-weighted citation impact, top 41% 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, 10 citations in OpenAlex.

  1. Article
  2. Identification of Gait-Cycle Phases for Prosthesis Control.Biomimetics (Basel, Switzerland) · 2021
    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

6 authors at 4 institutions in 1 country.

Seyed FakoorianDepartment of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, Ohio 44115, USA.ORCID https://orcid.org/0000-0001-7396-7704
Arash RoshanineshatDepartment of Electrical Engineering and Computer Engineering, University of Arizona, Tucson, AZ 87721, USA.
Poya KhalafDepartment of Mechanical Engineering, Cleveland State University, Cleveland, Ohio 44115, USA.
Vahid AzimiDepartment of Electrical Engineering and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.
Dan SimonDepartment of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, Ohio 44115, USA.
Elizabeth HardinMotion Study Laboratory, Cleveland VA Medical Center, Cleveland, Ohio 44106, USA.
Cleveland State University · USCleveland FES Center · USGeorgia Institute of Technology · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces an extensive human motion data set for typical activities of daily living. These data are crucial for the design and control of prosthetic devices for transfemoral prosthesis users. This data set was collected from seven individuals, including five individuals with intact limbs and two transfemoral prosthesis users. These data include the following types of movements: (1) walking at three different speeds; (2) walking up and down a 5-degree ramp; (3) stepping up and down; (4) sitting down and standing up. We provide full-body marker trajectories and ground reaction forces (GRFs) as well as joint angles, joint velocities, joint torques, and joint powers. This data set is publicly available at the website referenced in this paper. Data from flexion and extension of the hip, knee, and ankle are presented in this paper. However, the data accompanying this paper (available on the internet) include 46 distinct measurements and can be useful for validating or generating mathematical models to simulate the gait of both transfemoral prosthesis users and individuals with intact legs.

Identifiers

PMID33224270
PMCPMC7671801
OpenAlexW3099168959

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.