Title :
Development of a Wireless Sensor Glove for Surgical Skills Assessment
Author :
King, Rachel C. ; Atallah, Louis ; Lo, Benny P L ; Yang, Guang-Zhong
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
Abstract :
Laparoscopic surgery is a challenging task in minimally invasive surgery, which involves complex instrument control, extensive manual dexterity, and hand-eye coordination. This requires a greater attention to training and skills evaluation. In order to provide a more objective skills assessment method, this paper presents a wireless sensor platform for the capture of laparoscopic hand gesture data and a hidden-Markov-model-based analysis framework for optimal sensor selection and placement. Detailed experimental validation is provided to illustrate how the proposed method can be used to assess surgical performance improvement over repeated training.
Keywords :
data gloves; dexterous manipulators; hidden Markov models; medical control systems; surgery; wireless sensor networks; dexterity; hand-eye coordination; hidden Markov model; laparoscopic surgery; minimally invasive surgery; surgical skills assessment; wireless sensor glove; Abdomen; Biosensors; Body sensor networks; Cameras; Hidden Markov models; Laparoscopes; Minimally invasive surgery; Surges; Surgical instruments; Wireless sensor networks; Body sensor networks (BSNs); hidden Markov models (HMMs); minimally invasive surgery (MIS); sensor selection; skills analysis; Clinical Competence; Computer-Assisted Instruction; Education, Medical, Continuing; Equipment Design; Humans; Markov Chains; Reproducibility of Results; Surgical Procedures, Minimally Invasive;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2009.2029614
