Evidence map›Paper›PMID 38146600›Full record

ArticleJournal of Yeungnam medical science2024

The applicability of noncontact sensors in the field of rehabilitation medicine.

Yoo Jin Choo, Jun Sung Moon, Gun Woo Lee, Wook-Tae Park, Min Cheol Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Yeungnam medical science, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Noncontact Sensors for Vital Signs Measurement: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    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

5 authors.

Yoo Jin ChooDepartment of Physical Medicine and Rehabilitation, Yeungnam University College of Medicine, Daegu, Korea.
Jun Sung MoonDepartment of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.
Gun Woo LeeDepartment of Orthopaedic Surgery, Yeungnam University College of Medicine, Daegu, Korea.
Wook-Tae ParkDepartment of Orthopaedic Surgery, Yeungnam University College of Medicine, Daegu, Korea.
Min Cheol ChangDepartment of Physical Medicine and Rehabilitation, Yeungnam University College of Medicine, Daegu, Korea.

Funding

Ministry of Science and ICT 00219725National Research Foundation of Korea
6 · The paper itself

Abstract

A noncontact sensor field is an innovative device that can detect, measure, or monitor physical properties or conditions without direct physical contact with the subject or object under examination. These sensors use a variety of methods, including electromagnetic, optical, and acoustic technique, to collect information about the target without physical interaction. Noncontact sensors find wide-ranging applications in various fields such as manufacturing, robotics, automobiles, security, environmental monitoring, space industry, agriculture, and entertainment. In particular, they are used in the medical field, where they provide continuous monitoring of patient conditions and offer opportunities in rehabilitation medicine. This article introduces the potential of noncontact sensors in the field of rehabilitation medicine.

Indexed as

Brain injuriesMusculoskeletal diseasesNoncontact sensorRehabilitationSpinal cord injuries

Identifiers

PMID38146600
PMCPMC10834271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.