Arm Model and Puncture Training System in Hemodialysis

Ren Kanehira, Atsushi Ohashi, Naoki Miwa, Hideo Fujimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study reports the teaching of puncture operation for students in clinical engineering. It is known in hemodialysis treatment when inserting a needle into the blood vessel of a patient, high level of accuracy is required, including the force, angle and needle tracks. However, it is difficult for the student to master such a complex technique within a very short university time with less exercise opportunity. For such reason, we construct a training system on PC for teaching the puncture operation on the special vessels on the arm of a patient. An artificial arm model capable of presenting a variety of vessels was constructed to help the understanding of puncture operations such as holding and insertion of needle. The students carried out repeatedly the insertion operation exercises on special vessels with real-time evaluation response, to obtain higher training efficiency.

Original languageEnglish
Title of host publicationAdvances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2
EditorsYong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
PublisherSpringer
Pages962-969
Number of pages8
ISBN (Print)9783030325909
DOIs
Publication statusPublished - 01-01-2020
Event15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China
Duration: 20-07-201922-07-2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1075
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
CountryChina
CityKunming
Period20-07-1922-07-19

Fingerprint

Needles
Students
Teaching
Blood vessels

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Kanehira, R., Ohashi, A., Miwa, N., & Fujimoto, H. (2020). Arm Model and Puncture Training System in Hemodialysis. In Y. Liu, L. Wang, L. Zhao, & Z. Yu (Eds.), Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2 (pp. 962-969). (Advances in Intelligent Systems and Computing; Vol. 1075). Springer. https://doi.org/10.1007/978-3-030-32591-6_105
Kanehira, Ren ; Ohashi, Atsushi ; Miwa, Naoki ; Fujimoto, Hideo. / Arm Model and Puncture Training System in Hemodialysis. Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2. editor / Yong Liu ; Lipo Wang ; Liang Zhao ; Zhengtao Yu. Springer, 2020. pp. 962-969 (Advances in Intelligent Systems and Computing).
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Kanehira, R, Ohashi, A, Miwa, N & Fujimoto, H 2020, Arm Model and Puncture Training System in Hemodialysis. in Y Liu, L Wang, L Zhao & Z Yu (eds), Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2. Advances in Intelligent Systems and Computing, vol. 1075, Springer, pp. 962-969, 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, 20-07-19. https://doi.org/10.1007/978-3-030-32591-6_105

Arm Model and Puncture Training System in Hemodialysis. / Kanehira, Ren; Ohashi, Atsushi; Miwa, Naoki; Fujimoto, Hideo.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2. ed. / Yong Liu; Lipo Wang; Liang Zhao; Zhengtao Yu. Springer, 2020. p. 962-969 (Advances in Intelligent Systems and Computing; Vol. 1075).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kanehira R, Ohashi A, Miwa N, Fujimoto H. Arm Model and Puncture Training System in Hemodialysis. In Liu Y, Wang L, Zhao L, Yu Z, editors, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 2. Springer. 2020. p. 962-969. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-32591-6_105