TY - GEN
T1 - A preliminary study on surface electromyography signal analysis for motion characterization during catheterization
AU - Zhou, Tao
AU - Omisore, Olatunji Mumini
AU - Du, Wenjing
AU - Duan, Wenke
AU - Zhang, Yuan
AU - Wang, Lei
N1 - Funding Information:
We thank all the nine volunteers during data collection. This work was supported in part by the National Natural Science Foundation of China (Grants No. 61572231, No. U1713219), the Outstanding Youth Innovation Research Fund of SIAT-CAS (No. Y8G0381001) and The Enhancement Project for Shenzhen Biomedical Electronics Technology Public Service Platform.
Funding Information:
Acknowledgments. We thank all the nine volunteers during data collection. This work was supported in part by the National Natural Science Foundation of China (Grants No. 61572231, No. U1713219), the Outstanding Youth Innovation Research Fund of SIAT-CAS (No. Y8G0381001) and The Enhancement Project for Shenzhen Biomedical Electronics Technology Public Service Platform.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - AEMG/RMS
KW - Medical robotics
KW - sEMG signal analysis
KW - Signal-based catheterization
KW - Vascular intervention
UR - http://www.scopus.com/inward/record.url?scp=85070579310&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27535-8_55
DO - 10.1007/978-3-030-27535-8_55
M3 - Conference contribution
AN - SCOPUS:85070579310
SN - 9783030275341
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 617
EP - 628
BT - Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
A2 - Yu, Haibin
A2 - Liu, Jinguo
A2 - Liu, Lianqing
A2 - Liu, Yuwang
A2 - Ju, Zhaojie
A2 - Zhou, Dalin
PB - Springer Verlag
T2 - 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Y2 - 8 August 2019 through 11 August 2019
ER -