Literature DB >> 15865134

Detection of needle puncture to blood vessel using puncture force measurement.

H Saito1, T Togawa.   

Abstract

Although blood sampling is frequently performed, a system to take blood samples automatically has not yet been developed. In the paper, as a first step towards automatic blood sampling, an examination of an automatic method for puncturing blood vessels is described. The force waveforms produced by puncturing rabbit ear veins were measured. A characteristic peak, possibly associated with the needle piercing the vessel wall, was observed in each waveform of ten successful cases of 14 trials. An algorithm that allowed the detection of this peak was developed, and parameters of a filter to improve the accuracy of the algorithm were determined. Using this algorithm, automatic needle punctures were performed in a rabbit ear vein and then were simulated using the data derived from manual needle puncture on four other rabbits. The results gave 30 fully successful cases of 33 trials of needle puncture and showed that measurement of the puncture force may be important for automatic needle puncture of blood vessels.

Entities:  

Mesh:

Year:  2005        PMID: 15865134     DOI: 10.1007/bf02345961

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  4 in total

1.  A robotic system for blood sampling.

Authors:  A Zivanovic; B L Davies
Journal:  IEEE Trans Inf Technol Biomed       Date:  2000-03

2.  Penetration of disposable needles.

Authors:  R Lehtinen; E Oksala
Journal:  Int J Oral Surg       Date:  1979-04

3.  Characterization of surgical needles.

Authors:  J A von Fraunhofer; R J Storey; B J Masterson
Journal:  Biomaterials       Date:  1988-05       Impact factor: 12.479

4.  Penetration of 27- and 30-gauge dental needles.

Authors:  R Lehtinen
Journal:  Int J Oral Surg       Date:  1983-12
  4 in total
  6 in total

1.  Force-Sensing Microneedle for Assisted Retinal Vein Cannulation*

Authors:  Berk Gonenc; Peter Gehlbach; James Handa; Russell H Taylor; Iulian Iordachita
Journal:  Proc IEEE Sens       Date:  2014-11

2.  Adaptive Kinematic Control of a Robotic Venipuncture Device Based on Stereo Vision, Ultrasound, and Force Guidance.

Authors:  Max L Balter; Alvin I Chen; Timothy J Maguire; Martin L Yarmush
Journal:  IEEE Trans Ind Electron       Date:  2016-04-21       Impact factor: 8.236

3.  Force and Velocity Based Puncture Detection in Robot Assisted Retinal Vein Cannulation: In-Vivo Study.

Authors:  Alireza Alamdar; Niravkumar Patel; Muller Urias; Ali Ebrahimi; Peter Gehlbach; Iulian Iordachita
Journal:  IEEE Trans Biomed Eng       Date:  2022-02-21       Impact factor: 4.756

4.  Force-Based Puncture Detection and Active Position Holding for Assisted Retinal Vein Cannulation.

Authors:  Berk Gonenc; Nhat Tran; Cameron N Riviere; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  IEEE SICE RSJ Int Conf Multisens Fusion Integr Intell Syst       Date:  2015-09

5.  Towards Robot-Assisted Retinal Vein Cannulation: A Motorized Force-Sensing Microneedle Integrated with a Handheld Micromanipulator .

Authors:  Berk Gonenc; Jeremy Chae; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  Sensors (Basel)       Date:  2017-09-23       Impact factor: 3.576

6.  Robotic Assisted Cannulation of Occluded Retinal Veins.

Authors:  Marc D de Smet; Thijs C M Meenink; Tom Janssens; Valerie Vanheukelom; Gerrit J L Naus; Maarten J Beelen; Caroline Meers; Bart Jonckx; Jean-Marie Stassen
Journal:  PLoS One       Date:  2016-09-27       Impact factor: 3.240

  6 in total

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