wh2014 session: motion assessment for robotic surgery education using inertial body sensors
DESCRIPTION
From Wireless Health 2014 Demo and Abstract Presentation Session 1, featuring speaker Jiaqi Gong.TRANSCRIPT
WLSACONVERGENCE SUMMIT
MOTION ASSESSMENT FOR ROBOTIC SURGERY EDUCATION USING INERTIAL BODY SENSORS
JIAQI GONG, JOHN LACHCHARLES L. BROWN DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERINGUNIVERSITY OF VIRGINIA
MOTION ASSESSMENT FOR ROBOTIC SURGERY EDUCATION USING
INERTIAL BODY SENSORS
Wireless Health, October 30th, 2014
Jiaqi Gong, John Lach
Charles L. Brown Department of Electrical and
Computer EngineeringUniversity of Virginia
Yanjun QiDepartment of
Computer ScienceUniversity of Virginia
Rebecca S. Zee, Sierra J. Seaman,
Noah S. Schenkman
Department of UrologyUniversity of Virginia
UVA CENTER FORWIRELESS HEALTH
Background and Purpose
0 0.5 1 1.5 2 2.5 3 3.5 4
x 104
-1000
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1000Right Wrist
0 0.5 1 1.5 2 2.5 3 3.5 4
x 104
-1000
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1000Left Wrist
0 0.5 1 1.5 2 2.5 3 3.5 4
x 104
-1000
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1000Right Upper Arm
0 0.5 1 1.5 2 2.5 3 3.5 4
x 104
-1000
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1000Left Ankle
Score
Data
Feedback
Methods: (Modeling and Clustering)
S1
S2
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1. Segmentation based on 3D Curvature-Gradient Invariant to human factors during the mounting process2. Feature Extraction based on Control System Theory Invariant to observation variances during the sensing process3. Intra-subject Clustering Discover the motion pieces in each time-series data4. Inter-subject Clustering based on Dictionary Method and Prior Knowledge Discover the motion patterns which can be used to differentiate experts and novices
Results
Body-worn inertial sensors capturing motion and posture data provide better surgical skills assessments and more specific feedback than simulator performance alone. P Value Robotic
SimulatorInertial BSN
EIF P<0.5 P<0.05
EOM P<0.05 P<0.05
NSMP N/A P<0.0001
Overall P<0.05 N/A
Contact Us
Contact us with any question you have Jiaqi Gong ([email protected])
UVA CENTER FORWIRELESS HEALTH
WLSACONVERGENCE SUMMIT
www.wirelesshealth2014.org