Evidence map›Paper›PMID 38921307›Full record

ArticleHealthcare (Basel, Switzerland)2024

Agreement between Vital Signs Measured Using Mat-Type Noncontact Sensors and Those from Conventional Clinical Assessment.

Daiki Shimotori, Eri Otaka, Kenji Sato, Munetaka Takasugi, Nobuyoshi Yamakawa, Atsuya Shimizu, Hitoshi Kagaya, Izumi Kondo

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Daiki ShimotoriLaboratory of Practical Technology in Community, Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0002-1005-6492
Eri OtakaLaboratory of Practical Technology in Community, Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0002-0888-9241
Kenji SatoDepartment of Rehabilitation, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0003-3633-2966
Munetaka TakasugiTechno Horizon Co., Ltd., Nagoya 457-0071, Aichi, Japan.
Nobuyoshi YamakawaTechno Horizon Co., Ltd., Nagoya 457-0071, Aichi, Japan.
Atsuya ShimizuDepartment of Cardiology, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0001-5909-4716
Hitoshi KagayaDepartment of Rehabilitation, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0001-9472-0081
Izumi KondoDepartment of Rehabilitation, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.ORCID 0000-0002-1675-7310

Funding

Techno Horizon Co. Ltd. 71502
6 · The paper itself

Abstract

Vital signs are crucial for assessing the condition of a patient and detecting early symptom deterioration. Noncontact sensor technology has been developed to take vital measurements with minimal burden. This study evaluated the accuracy of a mat-type noncontact sensor in measuring respiratory and pulse rates in patients with cardiovascular diseases compared to conventional methods. Forty-eight hospitalized patients were included; a mat-type sensor was used to measure their respiratory and pulse rates during bed rest. Differences between mat-type sensors and conventional methods were assessed using the Bland-Altman analysis. The mean difference in respiratory rate was 1.9 breaths/min (limits of agreement (LOA): -4.5 to 8.3 breaths/min), and proportional bias existed with significance (r = 0.63,

Indexed as

cardiovascular diseasenon-contact sensorpulse raterespiratory ratevital signs

Identifiers

PMID38921307
PMCPMC11203301

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Registered trials

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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.