Evidence map›Paper›PMID 40026894›Full record

ArticleBiomedical engineering letters2025

Low compression smart clothing for respiratory rate monitoring using a bending angle sensor based on double-layer capacitance.

Tatsuya Kobayashi, Daisuke Goto, Yusuke Sakaue, Shima Okada, Naruhiro Shiozawa

Abstract read
In one paragraph

Article in Biomedical engineering letters, 2025. 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. Review
  2. 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.

Tatsuya KobayashiGraduate School of Sport and Health Science, Ritsumeikan University, Shiga, 525-8577 Japan.ORCID 0009-0003-6159-2396
Daisuke GotoGraduate School of Sport and Health Science, Ritsumeikan University, Shiga, 525-8577 Japan.
Yusuke SakaueGraduate School of Engineering Science, Osaka University, Toyonaka, 560-8531 Japan.
Shima OkadaDepartment of Robotics, College of Science and Engineering, Ritsumeikan University, Shiga, 525-8577 Japan.
Naruhiro ShiozawaCollege of Sport and Health Science, Ritsumeikan University, Shiga, 525-5877 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic respiratory diseases, continuous self-monitoring of vital signs such as respiratory rate aids in the early detection of exacerbations. In recent years, the development of smart clothing, such as garments equipped with sensors to measure respiratory rate, has been a focus of research. However, the usability and adoption of smart clothing are often compromised owing to the discomfort caused by compression pressure during wear. This study developed smart clothing designed to measure respiratory rate using a low compression pressure. This was achieved by integrating a bending angle sensor, based on double-layer capacitance, into the rib cage and abdomen areas. The accuracy of the respiratory rate measurement was evaluated in 20 healthy male subjects without respiratory diseases. Breathing was measured while the subjects wore the smart clothing and performed breathing exercises in sitting, supine, and lateral postures, following a metronome set between 12 and 30 bpm. To assess accuracy, the respiratory rate measured by the smart clothing was compared with that measured by a spirometer. The recorded compression pressure was 0.77 ± 0.21 kPa, with no subjects reporting discomfort. Correlation coefficients for respiratory rate in the different postures ranged within 0.97-0.99. The mean difference between the smart clothing and spirometer measurements was less than 0.1 bpm. The low mean difference indicated that the proposed low compression pressure wearable respiration sensor, employing a bending angle sensor based on double-layer capacitance, could measure respiratory rate accurately without causing discomfort and within an acceptable error range.

Indexed as

Bending angle sensorLow compressionRespiratory rateSmart clothing

Identifiers

PMID40026894
PMCPMC11871213

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.