Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations

Pier Nicola Sergi*, Winnie Jensen, Ken Yoshida, Silvestro Micera

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

OriginalsprogEngelsk
TitelConverging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018)
Antal sider5
ForlagSpringer Publishing Company
Publikationsdato1 jan. 2019
Sider127-131
ISBN (Trykt)978-3-030-01844-3
ISBN (Elektronisk)978-3-030-01845-0
DOI
StatusUdgivet - 1 jan. 2019
Begivenhed4th International Conference on NeuroRehabilitation, ICNR2018 - Pisa, Italien
Varighed: 16 okt. 201820 okt. 2018

Konference

Konference4th International Conference on NeuroRehabilitation, ICNR2018
LandItalien
ByPisa
Periode16/10/201820/10/2018
NavnBiosystems and Biorobotics
Vol/bind21
ISSN2195-3562

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Computer Simulation
Needles
Costs and Cost Analysis
Tungsten
Robotics
Peripheral Nerves
Punctures
Prostheses and Implants
Cicatrix
Hand
Equipment and Supplies
Wounds and Injuries
In Vitro Techniques

Citer dette

Sergi, P. N., Jensen, W., Yoshida, K., & Micera, S. (2019). Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. I Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018) (s. 127-131). Springer Publishing Company. Biosystems and Biorobotics, Bind. 21 https://doi.org/10.1007/978-3-030-01845-0_25
Sergi, Pier Nicola ; Jensen, Winnie ; Yoshida, Ken ; Micera, Silvestro. / Hybrid and fast : A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, 2019. s. 127-131 (Biosystems and Biorobotics, Bind 21).
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Sergi, PN, Jensen, W, Yoshida, K & Micera, S 2019, Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. i Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, Biosystems and Biorobotics, bind 21, s. 127-131, 4th International Conference on NeuroRehabilitation, ICNR2018, Pisa, Italien, 16/10/2018. https://doi.org/10.1007/978-3-030-01845-0_25

Hybrid and fast : A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. / Sergi, Pier Nicola; Jensen, Winnie; Yoshida, Ken; Micera, Silvestro.

Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, 2019. s. 127-131 (Biosystems and Biorobotics, Bind 21).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Yoshida, Ken

AU - Micera, Silvestro

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Sergi PN, Jensen W, Yoshida K, Micera S. Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. I Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company. 2019. s. 127-131. (Biosystems and Biorobotics, Bind 21). https://doi.org/10.1007/978-3-030-01845-0_25