Evidence map›Paper›PMID 30096945›Full record

ArticleSensors (Basel, Switzerland)2018

Ultrasound Sensors for Diaphragm Motion Tracking: An Application in Non-Invasive Respiratory Monitoring.

Amirhossein Shahshahani, Carl Laverdiere, Sharmistha Bhadra, Zeljko Zilic

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Emerging Wearable Ultrasound Technology.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Amirhossein ShahshahaniDepartment of Electrical and Computer Engineering, McGill university, Montreal, QC H3A 0E9, Canada. amirhossein.shahshahani@mail.mcgill.ca.ORCID 0000-0002-4239-9262
Carl LaverdiereFaculty of Medicine, McGill University, Montreal, QC H3A 0E9, Canada. carl.laverdiere@mail.mcgill.ca.
Sharmistha BhadraDepartment of Electrical and Computer Engineering, McGill university, Montreal, QC H3A 0E9, Canada. sharmistha.bhadra@mcgill.ca.
Zeljko ZilicDepartment of Electrical and Computer Engineering, McGill university, Montreal, QC H3A 0E9, Canada. zeljko.zilic@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a novel respiratory detection system based on diaphragm wall motion tracking using an embedded ultrasound sensory system. We assess the utility and accuracy of this method in evaluating the function of the diaphragm and its contribution to respiratory workload. The developed system is able to monitor the diaphragm wall activity when the sensor is placed in the zone of apposition (ZOA). This system allows for direct measurements with only one ultrasound PZT5 piezo transducer. The system generates pulsed ultrasound waves at 2.2 MHz and amplifies reflected echoes. An added benefit of this system is that due to its design, the respiratory signal is less subject to motion artefacts. Promising results were obtained from six subjects performing six tests per subject with an average respiration detection sensitivity and specificity of 84% and 93%, respectively. Measurements were compared to a gold standard commercial spirometer. In this study, we also compared our measurements to other conventional methods such as inertial and photoplethysmography (PPG) sensors.

Indexed as

MovementArtifactsDiaphragmHumansMonitoring, PhysiologicPhotoplethysmographyUltrasonographydiaphragm motion monitoringinertial sensornon-invasive respiratory monitoringpulse-oximetry sensor (PPG)PZT5 piezoultrasound

Identifiers

PMID30096945
PMCPMC6111564

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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.