Evidence map›Paper›PMID 41157552›Full record

ArticleSensors (Basel, Switzerland)2025

High Accuracy Location Tracking for a Hemostasis Stent Achieved by the Fusion of Comprehensively Denoised Magnetic and Inertial Measurements.

Yifan Zhang, William W Clark, Bryan Tillman, Young Jae Chun, Stephanie Liu, Dahlia Kenawy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yifan ZhangDepartment of Mechanical and Material Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15261, USA.ORCID 0000-0003-4138-746X
William W ClarkDepartment of Mechanical and Material Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15261, USA.ORCID 0000-0002-2165-8448
Bryan TillmanDivision of Vascular Surgery, The Ohio State University Medical Center, The Ohio State University, Columbus, OH 43210, USA.
Young Jae ChunDepartment of Mechanical and Material Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15261, USA.ORCID 0000-0002-4522-7116
Stephanie LiuDepartment of Mechanical and Material Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15261, USA.ORCID 0009-0000-6701-7219
Dahlia KenawyDivision of Vascular Surgery, The Ohio State University Medical Center, The Ohio State University, Columbus, OH 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper will introduce a location tracking system targeted on a stent when it is deployed into the human artery to achieve hemostasis. This system is proposed to be applied in emergent conditions such as treating injured soldiers on the battlefield where common surgical devices such as fluoroscopy systems are not available. The locating algorithm is based on both magnetic measurements and inertial measurements. The magnetic locating approach detects the sensor's location in a coordinate system centered with the reference magnet source. The inertial locating approach integrates the linear acceleration and angular velocity measured by the sensor to obtain the angular and linear displacement during a time period. Measurements from all sensors are deeply fused to remove disturbances and noise that degrade the locating accuracy. The focus of this research is to identify all potential error-increasing factors and then provide solutions to correct them to enhance the location measurement reliability. Validation experiments for each improvement approach and the overall locating performance will be introduced.

Indexed as

HemostasisStentsAlgorithmsHumanscomputer-assisted surgeryelectromagnetic fieldlocation trackingmagnetic interferencesensor fusion

Identifiers

PMID41157552
PMCPMC12568222

What OpenQuestion holds

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LicenceCC BY
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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.