Evidence map›Paper›PMID 31717794›Full record

ArticleSensors (Basel, Switzerland)2019

Wearable Cardiopulmonary Function Evaluation System for Six-Minute Walking Test.

Bor-Shing Lin, Ruei-Jie Jhang, Bor-Shyh Lin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [A wearable six-minute walk-based system to predict postoperative pulmonary complications after cardiac valve surgery: an exploratory study].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  6. Observational
  7. Article
  8. Article
  9. 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.

Bor-Shing LinDepartment of Computer Science and Information Engineering, National Taipei University, New Taipei City 23741, Taiwan.ORCID 0000-0003-0498-3190
Ruei-Jie JhangInstitute of Photonic System, National Chiao Tung University, Tainan 71150, Taiwan.
Bor-Shyh LinInstitute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, Taiwan.ORCID 0000-0002-8653-2571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a submaximal exercise test, a 6-min walking test (6MWT) can be considered a suitable index for the exercise capacity of patients with a respiratory problem. Traditionally, medical staff manually collect cardiopulmonary information using different devices. However, no integrated monitoring system is currently available to simultaneously record the real-time breathing sound, heart rhythm, and precise walking information (i.e., walking distance, speed, and acceleration) during the 6MWT. In this study, a wearable and wireless multiparameter monitoring system is proposed to simultaneously monitor the breathing sound, oxygen saturation (SpO2), electrocardiograph (ECG) signals, and precise walking information during the 6MWT. Here, a wearable mechanical design was successfully used to reduce the effect of motion artifacts on the breathing sound and ECG signal. A multiparameter detection algorithm was designed to effectively estimate heart and breathing rates. Finally, the cardiopulmonary function of smokers was evaluated using the proposed system. The evaluation indicated that this system could reveal dynamic changes and differences in the breathing rate, heart rate, SpO2, walking speed, and acceleration during the 6MWT. The proposed system can serve as a more integrated approach to monitor cardiopulmonary parameters and obtain precise walking information simultaneously during the 6MWT.

Indexed as

Respiratory Function TestsWearable Electronic DevicesAdultAlgorithmsElectrocardiographyExercise TestFemaleHeartHeart RateHumansMaleMonitoring, PhysiologicOxygenRespiratory SoundsSmokingWalkingOxygen6-min walking test (6MWT)breathing soundcardiopulmonary functionelectrocardiogramindoor walking distance

Identifiers

PMID31717794
PMCPMC6865179

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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.