A Haptics feedback based-LSTM predictive model for pericardiocentesis therapy using public introperative data

Khatami, Amin, Tai, Yonghang, Khosravi, Abbas, Wei, Lei, Moradi Dalvand, Mohsen, Peng, Jun and Nahavandi, Saeid 2017, A Haptics feedback based-LSTM predictive model for pericardiocentesis therapy using public introperative data, in ICONIP 2017 : Proceedings of the Neural Information Processing International Conference, Springer, Cham, Switzerland, pp. 810-818, doi: 10.1007/978-3-319-70139-4_82.

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Title A Haptics feedback based-LSTM predictive model for pericardiocentesis therapy using public introperative data
Author(s) Khatami, Amin
Tai, Yonghang
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Wei, LeiORCID iD for Wei, Lei orcid.org/0000-0001-8267-0283
Moradi Dalvand, Mohsen
Peng, Jun
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Neural Information Processing. International Conference (24th : 2017 : Guangzhou, China)
Conference location Guangzhou, China
Conference dates 2017/11/14 - 2017/11/18
Title of proceedings ICONIP 2017 : Proceedings of the Neural Information Processing International Conference
Publication date 2017
Series Lecture Notes in Computer Science
Start page 810
End page 818
Total pages 9
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Force prediction
Haptics predictive models
Real-time
LSTM
ISBN 3319701398
9783319701387
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-70139-4_82
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111639

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