Evidence map›Paper›PMID 33450931›Full record

ArticleSensors (Basel, Switzerland)2021

A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand.

Seoyoon Hwang, Seoyoung Choi, Yang-Soo Lee, Jonghyun Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

4 authors at 3 institutions in 1 country.

Seoyoon HwangSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea.ORCID 0000-0003-0321-3901
Seoyoung ChoiDepartment of Robotics Engineering, DGIST (Daegu Gyeongbuk Institute of Science and Technology), Daegu 42988, Korea.
Yang-Soo LeeDepartment of Rehabilitation Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea.ORCID 0000-0002-8855-1231
Jonghyun KimSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Sungkyunkwan University · KRDaegu Gyeongbuk Institute of Science and Technology · KRKyungpook National University · KR

Funding

National Research Foundation of Korea 2017R1C1B2010284
6 · The paper itself

Abstract

To provide effective diagnosis and rehabilitation, the evaluation of joint moments during sit-to-stand is essential. The conventional systems for the evaluation, which use motion capture cameras, are quite accurate. However, the systems are not widely used in clinics due to their high cost, inconvenience, and the fact they require lots of space. To solve these problems, some studies have attempted to use inertial sensors only, but they were still inconvenient and inaccurate with asymmetric weight-bearing. We propose a novel joint moment estimation system that can evaluate both symmetric and asymmetric sit-to-stands. To make a simplified system, the proposal is based on a kinematic model that estimates segment angles using a single inertial sensor attached to the shank and a force plate. The system was evaluated with 16 healthy people through symmetric and asymmetric weight-bearing sit-to-stand. The results showed that the proposed system (1) has good accuracy in estimating joint moments (root mean square error < 0.110 Nm/kg) with high correlation (correlation coefficient > 0.99) and (2) is clinically relevant due to its simplicity and applicability of asymmetric sit-to-stand.

Indexed as

JointsLower ExtremityMovementAdultBiomechanical PhenomenaHumansKnee JointWeight-Bearingasymmetric weight-bearing motioninertial sensorjoint momentkinematic modelsegment anglesit-to-stand

Identifiers

PMID33450931
PMCPMC7828398
OpenAlexW3119806819

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.