Evidence map›Paper›PMID 26257588›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2015

The System Design and Evaluation of a 7-DOF Image-Guided Venipuncture Robot.

Max L Balter, Alvin I Chen, Timothy J Maguire, Martin L Yarmush

Abstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 52 citations in OpenAlex.

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  12. System Design and Development of a Robotic Device for Automated Venipuncture and Diagnostic Blood Cell Analysis.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2016
    Article
  13. Real-time Needle Steering in Response to Rolling Vein Deformation by a 9-DOF Image-Guided Autonomous Venipuncture Robot.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
    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.

Max L BalterDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854 USA, and also with VascuLogic, LLC, Piscataway, NJ 08854 USA ( balterm53@gmail.com ).
Alvin I ChenDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854 USA, and also with VascuLogic, LLC, Piscataway, NJ 08854 USA ( alv6688@gmail.com ).
Timothy J MaguireDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854 USA, and also with VascuLogic, LLC, Piscataway, NJ 08854 USA ( tim.maguire25@gmail.com ).
Martin L YarmushDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854 USA, and also with Massachusetts General Hospital, Boston, MA 02108 USA ( yarmush@rci.rutgers.edu ).
Environmental and Occupational Health Sciences Institute · USRutgers, The State University of New Jersey · US

Funding

UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
Portable automated device for rapid venous blood draws and point of care diagnostic analysisR01EB020036 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI YARMUSH, MARTIN L · 2015 to 2018
$2.7M
Low-Cost, Compact, and Portable Robot for Autonomous Intravenous Access using NeaF31EB018191 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI CHEN, ALVIN · 2014 to 2015
$67k
NIBIB NIH HHS F31 EB018191NIBIB NIH HHS R01 EB020036NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

Accessing the venous bloodstream to deliver fluids or obtain a blood sample is the most common clinical routine practiced in the U.S. Practitioners continue to rely on manual venipuncture techniques, but success rates are heavily dependent on clinician skill and patient physiology. In the U.S., failure rates can be as high as 50% in difficult patients, making venipuncture the leading cause of medical injury. To improve the rate of first-stick success, we have developed a portable autonomous venipuncture device that robotically servos a needle into a suitable vein under image guidance. The device operates in real time, combining near-infrared and ultra-sound imaging, image analysis, and a 7-degree-of-freedom (DOF) robotic system to perform the venipuncture. The robot consists of a 3-DOF gantry to image the patient's peripheral forearm veins and a miniaturized 4-DOF serial arm to guide the cannula into the selected vein under closed-loop control. In this paper, we present the system architecture of the robot and evaluate the accuracy and precision through tracking, free-space positioning, and

Indexed as

Computer visionkinematicsmechanism designmedical robots and systemsvisual servoing

Identifiers

PMID26257588
PMCPMC4527661
OpenAlexW1499227246

What OpenQuestion holds

Textmetadata
LicenceTDM
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.