Evidence map›Paper›PMID 38111801›Full record

ArticleHealthcare technology letters2023

Movement examination of the lumbar spine using a developed wearable motion sensor.

Reza Abbasi-Kesbi, Mohammad Fathi, Seyed Zaniyar Sajadi

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters, 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
3.8field-weighted citation impact, top 6% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Reza Abbasi-KesbiMEMS & NEMS Department, Faculty of New Sciences and Technologies University of Tehran Tehran Iran.ORCID https://orcid.org/0000-0001-5726-5315
Mohammad FathiDepartment of Biomedical Engineering, Faculty of Medical Sciences and Technologies Islamic Azad University Science and Research Branch Tehran Iran.ORCID https://orcid.org/0000-0002-8917-3164
Seyed Zaniyar SajadiSchool of Electrical and Computer Engineering, College of Engineering University of Tehran Tehran Iran.ORCID https://orcid.org/0009-0006-2008-125X
University of Tehran · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A system for monitoring spinal movements based on wearable motion sensors is proposed here. For this purpose, a hardware system is first developed that measures data of linear acceleration, angular velocity, and the magnetic field of the spine. Then, the obtained data from these sensors are combined in a proposed complementary filter, and their angular variations are estimated. The obtained results of angular variation of this system in comparison with an accurate reference illustrate that the root mean squared error is less than 1.61 degrees for three angles of

Indexed as

biomedical measurementhealth carepatient monitoring

Identifiers

PMID38111801
PMCPMC10725723
OpenAlexW4389507271

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.