Evidence map›Paper›PMID 26270665›Full record

ArticleSensors (Basel, Switzerland)2015

A Low-Power and Portable Biomedical Device for Respiratory Monitoring with a Stable Power Source.

Jiachen Yang, Bobo Chen, Jianxiong Zhou, Zhihan Lv

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
32.7field-weighted citation impact, top 1% of its field
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

11 citing papers in PubMed, 121 citations in OpenAlex.

  1. Article
  2. Article
  3. Respiration Monitoring via Forcecardiography Sensors.Sensors (Basel, Switzerland) · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Contact-Based Methods for Measuring Respiratory Rate.Sensors (Basel, Switzerland) · 2019
    Review
  9. Effectively Measuring Respiratory Flow With Portable Pressure Data Using Back Propagation Neural Network.IEEE journal of translational engineering in health and medicine · 2018
    Article
  10. Article
  11. 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

4 authors at 2 institutions in 1 country.

Jiachen YangSchool of Electronic Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China. yangjiachen@tju.edu.cn.
Bobo ChenSchool of Electronic Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China. chenjunbo2014@tju.edu.cn.
Jianxiong ZhouSchool of Electronic Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China. zhoujx@tju.edu.cn.
Zhihan LvShenzhen Institutes of Advanced Technology(SIAT), Chinese Academy of Science, Shenzhen 518055, China. lvzhihan@gmail.com.
Tianjin University · CNShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous respiratory monitoring is an important tool for clinical monitoring. Associated with the development of biomedical technology, it has become more and more important, especially in the measuring of gas flow and CO2 concentration, which can reflect the status of the patient. In this paper, a new type of biomedical device is presented, which uses low-power sensors with a piezoresistive silicon differential pressure sensor to measure gas flow and with a pyroelectric sensor to measure CO2 concentration simultaneously. For the portability of the biomedical device, the sensors and low-power measurement circuits are integrated together, and the airway tube also needs to be miniaturized. Circuits are designed to ensure the stability of the power source and to filter out the existing noise. Modulation technology is used to eliminate the fluctuations at the trough of the waveform of the CO2 concentration signal. Statistical analysis with the coefficient of variation was performed to find out the optimal driving voltage of the pressure transducer. Through targeted experiments, the biomedical device showed a high accuracy, with a measuring precision of 0.23 mmHg, and it worked continuously and stably, thus realizing the real-time monitoring of the status of patients.

Indexed as

ElectricityElectric Power SuppliesEquipment and SuppliesRespirationCarbon DioxideHumansMonitoring, PhysiologicPressureSignal Processing, Computer-AssistedCarbon DioxideCO2 concentration monitoringflow measurementlow powermodulation technologyportabilityrespiratory monitoring

Identifiers

PMID26270665
PMCPMC4570388
OpenAlexW2141934628

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.