A preliminary study on surface electromyography signal analysis for motion characterization during catheterization

Tao Zhou, Olatunji Mumini Omisore, Wenjing Du, Wenke Duan, Yuan Zhang, Lei Wang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Surface Electromyography (sEMG) signal has been widely applied in solving many mechanical control problems such as prosthetic control, medical rehabilitation and sports science. Similarly, this is becoming relatively applicable for interventional surgery where robotic catheter systems are being proposed for safe vascular catheterization. In this paper, two basic features are investigated for characterization of users’ hand movements during vascular catheterization. For this purpose, controlled experiments were setup to acquire sEMG signals from six different muscles of nine volunteers who were asked to perform four basic movements namely, move-out, move-in, turn-in, turn-out; used during intravascular catheterization. Two features namely, Average Electromyography and Root Mean Square, were defined over an acquired database of sEMG signals from the nine subjects. The features were utilized to characterize and analyze the different motions in the hand movements dataset. Analysis of the processed signal shows that both features are highly comparable in terms of mean amplitude for all movements across the nine subjects. A significant difference (p= 0.048) was observed in the thumb abductor muscle, and just between move-in and turn-in movements.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
EditorsHaibin Yu, Jinguo Liu, Lianqing Liu, Yuwang Liu, Zhaojie Ju, Dalin Zhou
PublisherSpringer Verlag
Pages617-628
Number of pages12
ISBN (Print)9783030275341
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, China
Duration: 8 Aug 201911 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11742 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Country/TerritoryChina
CityShenyang
Period8/08/1911/08/19

Keywords

  • AEMG/RMS
  • Medical robotics
  • sEMG signal analysis
  • Signal-based catheterization
  • Vascular intervention

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

Fingerprint

Dive into the research topics of 'A preliminary study on surface electromyography signal analysis for motion characterization during catheterization'. Together they form a unique fingerprint.

Cite this