id: 05824344
dt: a
an: 05824344
au: Jayender, Jagadeesan; Estépar, Raúl San Jośe; Obstein, Keith; Patil,
    Vaibhav; Thompson, Christopher C.; Vosburgh, Kirby G.
ti: Hidden Markov model for quantifying clinician expertise in flexible
    instrument manipulation.
so: Liao, Hongen (ed.) et al., Medical imaging and augmented reality. 5th
    international workshop, MIAR 2010, Beijing, China, September 19‒20,
    2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15698-4/pbk).
    Lecture Notes in Computer Science 6326, 363-372 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-15699-1_38
ab: Summary: Clinicians are trained to manipulate a colonoscope while
    minimizing the force exerted on the colon walls to reduce the danger of
    luminal perforation and discomfort to the patient. Here, we classify
    the expertise of the clinician performing colonoscopy using a Hidden
    Markov Model. Seven models are trained corresponding to the performance
    of the expert in the entire colon, ascending, transverse and descending
    colon and three gestures corresponding to roll and two angulations of
    the distal end of the scope. Experimental results in a colon model
    (CM-1, Olympus, Tokyo, Japan) are shown to compare the performance of
    the four groups of users ‒ first year, second year and third year GI
    residents and expert physicians.
rv: