Evidence map›Paper›PMID 34221510›Full record

ArticleEmergency medicine international2021

Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications.

Chin-Teng Lin, Chen-Yu Wang, Kuan-Chih Huang, Shi-Jinn Horng, Lun-De Liao

Abstract read
In one paragraph

Article in Emergency medicine international, 2021. 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. Review
  4. An Embedded Electromyogram Signal Acquisition Device.Sensors (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Measuring Biosignals with Single Circuit Boards.Bioengineering (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Article
  9. Biosignal-Based Digital Biomarkers for Prediction of Ventilator Weaning Success.International journal of environmental research and public health · 2021
    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

5 authors.

Chin-Teng LinInstitute of Electrical Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.ORCID https://orcid.org/0000-0001-8371-8197
Chen-Yu WangBrain Research Center, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Kuan-Chih HuangBrain Research Center, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Shi-Jinn HorngDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Lun-De LiaoInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli County, Taiwan.ORCID https://orcid.org/0000-0002-2601-3673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For emergency or intensive-care units (ICUs), patients with unclear consciousness or unstable hemodynamics often require aggressive monitoring by multiple monitors. Complicated pipelines or lines increase the burden on patients and inconvenience for medical personnel. Currently, many commercial devices provide related functionalities. However, most devices measure only one biological signal, which can increase the budget for users and cause difficulty in remote integration. In this study, we develop a wearable device that integrates electrocardiography (ECG), electroencephalography (EEG), and blood oxygen machines for medical applications with the hope that it can be applied in the future. We develop an integrated multiple-biosignal recording system based on a modular design. The developed system monitors and records EEG, ECG, and peripheral oxygen saturation (SpO

Identifiers

PMID34221510
PMCPMC8213464

What OpenQuestion holds

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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.