Surface EMG and heartbeat analysis preliminary results in surgical training: Dry boxes and live tissue

Luca Bartolomeo, Zhuohua Lin, Massimiliano Zecca, Salvatore Sessa, Hiroyuki Ishii, Hao Xu, Munenori Uemura, Morimasa Tomikawa, Makoto Hashizume, Atsuo Takanishi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

The training in the surgical practice is of paramount importance to prepare the residents in performing surgical procedures on human subject and to provide exercise on new techniques for experienced surgeons. Usually, these trainings are carried out on live animals or in virtual environments and dry boxes; the complexity of the exercises is identical in both of the case, but the pressure in operating with a living subject could change the attitude and the movements of the trainee. Until now, it has not been possible to analyze this stress in details together in the surgical animal training and dry boxes. In this work we propose an innovative portable system that can measure two physiological parameters, the heartbeat and the surface electromyography, during a session of training in both of the environment. The preliminary results, for one subject, show a bigger average power in the shoulder muscles during the living operation together with a higher but stable heartbeat rate.

本文言語英語
ホスト出版物のタイトル33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
ページ1113-1116
ページ数4
DOI
出版ステータス出版済み - 12 26 2011
イベント33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, 米国
継続期間: 8 30 20119 3 2011

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

その他

その他33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country米国
CityBoston, MA
Period8/30/119/3/11

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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