Blue Dragon
The BlueDRAGON is a system for acquiring the kinematics and the dynamics of two endoscopic tools along with the visual view of the surgical scene. The system includes two four-bar passive mechanisms attached to endoscopic tools. The four bar mechanisms translate the tool's rotation around the pivot point located in the port into the mechanism's joints incorporating position sensors. These translation is enabled when the base axes and the tool's shaft axis intersect the port's pivot point. Moreover, the mechanism's axes alignment prevented any additional moments applied on the skin and internal tissues except the ones that are generated intentionally by using the tools. The gravitational forces applied on the surgeon's hand when the mechanism is away from its neutral position are compensated by an optimized spring connecting the bases and the first two coupled links.
          
CAD drawing of the BlueDRAGON mechanism
          The two mechanisms are equipped with three classes of sensors:                   (i) position sensors (multi turn potentiometers - Midori America                   Corp.) are incorporated into four of the mechanisms' joints for                   measuring the positions, the orientations and the translation                   of the two instrumented endoscopic tools attached to them. In                   addition, two linear potentiometer (Penny & Giles Controls                   Ltd.) that are attached to the tools' handle are used for measuring                   the endoscopic handle and tool tip angles; (ii) three-axis force/torque                   (F/T) sensors (ATI-Mini sensor) are located at the proximal end                   of the endoscopic tools' shaft, as well as force sensors inserted                   into the tools' handles for measuring the grasping forces at the                   hand/tool interface and (iii) contact sensors providing binary                   indication of any tool/tissue contact. Data measured by the BlueDRAGONs'                   sensors are acquired using two 12-bit National Instruments USB                   A/D cards sampling the 26 channels (3 rotations, 2 translations,                   1 tissue contact, and 7 channels of forces and torques from each                   instrumented grasper) at 30 Hz. In addition to the data acquisition,                   the synchronized view of the surgical scene is incorporated into                   a graphical user interface displaying the data in real-time. 

The BlueDRAGON system integration into a minimally invasive surgery setup
        Projects 
        
        Device:   BlueDRAGON (Two instrumented tools)
          Methodology: In Vivo measurements -   Animal Model (Pig), Markov Model
          Number of Subjects: 30 Human
          Model:   Markov model - 28 states 
          Status: Completed
          
          
        Markov   Models of MIS based on Force/Torque Signatures and Tool/Tissue Interactions
Device: IEG   (One Instrumented tool - Dominant Hand)
          Methodology: In Vivo measurements -   Animal Model (Pig), Markov Model
          Number of Subjects: 10 Human (5 - R1 and 5 - Expert)
          Model: Markov   model - 3 states
          Status: Completed 
Device: IEG (One   Instrumented tool - Dominant Hand)
          Methodology: In Vivo measurements - Animal   Model (Pig), Markov Model
          Number of Subjects: 8 Human (2x R1, R3, R5, and Expert)
          Model:   Hidden Markov model - 14 states 
          Status: Complete
        PUblications 
        
        (*)                   Note: Most of the Bionics Lab                    publications are available on-line in a PDF format.                   You may used the publication's reference number as a link to the                   individual manuscript.
Rosen                      J., J. D. Brown, L. Chang, M. Sinanan B. Hannaford, Generalized                      Approach for Modeling Minimally Invasive Surgery as a Stochastic                      Process Using a Discrete Markov Model, IEEE Transactions                      on Biomedical Engineering Vol. 53, No. 3, March 2006, pp.                      399 - 413 [
 JP9]
Richards                      C., J. Rosen, B. Hannaford, M. MacFarlane, C. Pellegrini,                      M. Sinanan, Skills Evaluation in Minimally Invasive Surgery                      Using Force/Torque Signatures, Surgical Endoscopy, Vol 14,                      No. 9, pp. 791-798. [
 JP4]
Rosen                      J., B. Hannaford, Richards C., M. Sinanan, Markov Modeling                      of Minimally Invasive Surgery Based on Tool/Tissue interaction                      and Force/Torque Signatures for Evaluating Surgical Skills,                      IEEE Transactions on Biomedical Engineering Vol. 48. No.                      5, pp. 579-591 May 2001. [
 JP5]
Rosen                      J., M. Solazzo, B. Hannaford, M. Sinanan, Objective Evaluation                      of Laparoscopic Skills Based on Haptic Information and Tool/Tissue                      Interactions, Computer Aided Surgery, Volume 7, Issue 1,                      pp. 49-61 July 2002 [
 JP7].
          
          Hannaford                      B., J. Trujillo, M. Sinanan, M. Moreyra, J. Rosen, J. Brown,                      R. Lueschke, M. MacFarlane, Computerized Endoscopic Surgical                      Grasper, Studies in Health Technology and Informatics - Medicine                      Meets Virtual Reality, Vol. 50, pp. 265-271, IOS Press, January                      1998.[
 CP2]
Rosen J., M. MacFarlane, C. Richards, B. Hannaford, C. Pellegrini,                    M. Sinanan, Surgeon/Endoscopic Tool Force-Torque Signatures                    In The Evaluation of Surgical Skills During Minimally Invasive                    Surgery, Studies in Health Technology and Informatics - Medicine                    Meets Virtual Reality, Vol. 62, pp. 290-296, IOS Press, January                    1999. [
 CP3]
Rosen J., C. Richards, B. Hannaford, M. Sinanan, Hidden Markov                    Models of Minimally Invasive Surgery, Studies in Health Technology                    and Informatics - Medicine Meets Virtual Reality, Vol. 70 pp.                    279-285, IOS Press, January 2000. [
 CP4]
Rosen                      J., M. Solazzo, B. Hannaford, M. Sinanan , Objective Evaluation                      of Laparoscopic Surgical Skills Using Hidden Markov Models                      Based on Haptic Information and Tool/Tissue Interactions,                      American College of Surgeons Annual Meeting - Washington                      State Chapter, Lake Chelan, June 2000. [
 CP5]
Rosen                      J., M. Solazzo, B. Hannaford, M. Sinanan, Objective Laparoscopic                      Skills Assessments of Surgical Residents Using Hidden Markov                      Models Based on Haptic Information and Tool/Tissue Interactions,                      Studies in Health Technology and Informatics - Medicine Meets                      Virtual Reality, Vol. 81, pp.417-423, IOS Press, January                      2001. [
 CP7]
Rosen                      J., J. D. Brown, M. Barreca, L. Chang, B. Hannaford, M. Sinanan,                      The Blue DRAGON - A System for Monitoring the Kinematics                      and the Dynamics of Endoscopic Tools in Minimally Invasive                      Surgery for Objective Laparoscopic Skill Assessment, Studies                      in Health Technology and Informatics - Medicine Meets Virtual                      Reality, Vol. 85, pp.412-418, IOS Press, January 2002. [
 CP8]
Rosen                      J., J. D. Brown, L. Chang, M. Barreca, M. Sinanan, B. Hannaford,                      The Blue DRAGON - A System for Measuring the Kinematics and                      the Dynamics of Minimally Invasive Surgical Tools In–Vivo,                      Proceedings of the 2002 IEEE International Conference on                      Robotics                     & Automation, Washington DC, USA, May 11-15, 2002. [
 CP10]
Rosen                    J., L. Chang, J. D. Brown, B. Hannaford, M. Sinanan, R. Satava,                    Minimally Invasive Surgery Task Decomposition - Etymology of                    Endoscopic Suturing, Studies in Health Technology and Informatics                    - Medicine Meets Virtual Reality, vol. 94, pp. 295-301, IOS                    Press, January 2003 [
 CP11].
Kowalewski                      T.M., J. Rosen, L. Chang, M. Sinanan, B. Hannaford, Optimization                      of a Vector Quantization Codebook for Objective Evaluation                      of Surgical Skill, Studies in Health Technology and Informatics                      - Medicine Meets Virtual Reality, vol. 98, pp. 174-179, IOS                      Press, January 2004 [
 CP14].
Brown                      J. D., J. Rosen, L. Chang, M. Sinanan, B. Hannaford, Quantifying                      Surgeon Grasping Mechanics in Laparoscopy Using the Blue                      DRAGON System, Studies in Health Technology and Informatics                      - Medicine Meets Virtual Reality, vol. 98, pp. 34-36, IOS                      Press, January 2004 [
 CP15]
        Multimedia  
        
          The                   BlueDRAGON system integration into a minimally invasive surgery                   setup -Overview
          MPG                   Video Clip (2.5M)
The BlueDRAGON                   graphical user interface incorporating real-time data with the                   visual view of the endoscope
            MPG                   Video Clip (5.2M)
The BlueDRAGON                   CAD rendering 
            MPG                   Video Clip (7.8M)