Research and Implementation of Auxiliary System for Waken-up Craniotomy

  • Liu Yu
  • Feng Wu
  • Hongmin Bai
  • Weimin Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


Waken-up craniotomy is often used when space occupying lesion in brain functional region is cut off by manual intervention. The executive process is so complicated that it is difficult to acquire a desirable and reliable effect. This paper proposes a method that combines medical science, wireless sensor network, computing technology and virtual display mode together to aid this surgical procedure. After our work, a semi-automatic auxiliary system for waken-up craniotomy is built up. The myodynamia variation state of a patient in waken-up craniotomy can be tested by it and a doctor can be alerted inreal time by a virtual display mode reliably.


Waken-up craniotomy Auxiliary system Myodynamia testing 


  1. 1.
    Hu L, Wei G, Li G (2005) Difficulties and countermeasure of operative nursing cooperation of tumour excision in cerebral function zone under intraoperative undergoing waken-up anesthesia. Chin J Nurs 40(10):793–794Google Scholar
  2. 2.
    Wang P, Chen X (2011) Research progress in cerebral function zone under intraoperative undergoing waken-up. J Ningxia Med Univ 33(2):195–198Google Scholar
  3. 3.
    Li L (2011) Analysis of data fusion in wireless sensor networks. In: International conference on Electronics, communications and control (ICECC). 9–11 September 2011, pp 2547–2549Google Scholar
  4. 4.
    Khaleghia B, Khamisa A, Karraya FO, Razavi SN (2013) Multisensor data fusion: a review of the state-of-the-art. Inf Fusion 14(1):28–44CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Huangpu Branch of the First Affiliated HospitalSun Yat-sen UniversityGuangzhouChina
  2. 2.School of Software EngineeringSouth China University of TechnologyGuangzhouChina
  3. 3.Neurosurgery of Guangzhou Military Region General HospitalGuangzhouChina

Personalised recommendations