Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

57.066 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
  • Ponències/Comunicacions de congressos
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
  • Ponències/Comunicacions de congressos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery

Thumbnail
View/Open
Article EMBC (1,776Mb) (Restricted access)   Request copy 

Què és aquest botó?

Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:

  • Disposem del correu electrònic de l'autor
  • El document té una mida inferior a 20 Mb
  • Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Share:
 
 
10.1109/EMBC.2015.7318246
 
  View Usage Statistics
Cita com:
hdl:2117/85399

Show full item record
Avilés Rivero, Angélica
Alsaleh, Samar M.
Sobrevilla Frisón, PilarMés informació
Casals Gelpi, AliciaMés informacióMés informacióMés informació
Document typeConference report
Defense date2015
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a force estimation approach that starts with the reconstruction of a 3D deformation structure of the tissue surface by minimizing an energy functional. A Recurrent Neural Network-Long Short Term Memory (RNN-LSTM) based architecture is then presented to accurately estimate the applied forces. According to the results, our solution offers long-term stability and shows a significant percentage of accuracy improvement, ranging from about 54% to 78%, over existing approaches.
CitationAvilés, A., Alsaleh, S., Sobrevilla, P., Casals, A. Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-4. 
URIhttp://hdl.handle.net/2117/85399
DOI10.1109/EMBC.2015.7318246
ISBN9781424492695
Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7318246
Collections
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.391]
  • Departament de Matemàtiques - Ponències/Comunicacions de congressos [996]
  • GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes - Ponències/Comunicacions de congressos [58]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
07318246.pdfBlockedArticle EMBC1,776MbPDFRestricted access

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina