Objective assessment of manual dexterity for surgeons
Abstract/Contents
- Abstract
- I present the design and implementation of a manual dexterity assessment system that can measure hand movement data using Inertial Measurement Unit (IMU) sensors. These wireless sensors consist of a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer; and record at the rate of 30 data samples per second. The Purdue Pegboard test and the O'Connor Tweezer Dexterity test are timed manual dexterity assessment tests with accomplishment measured by a single outcome metric -- speed. However, accuracy is often more important than speed in surgical tasks. I have modified both of these standardized tests to incorporate an assessment of accuracy. For the integrated system, I show the results of two validation studies: (1) Construct validity and (2) Concurrent validity. I also propose a new method to interpret hand movement data for objective assessment of manual dexterity, called EDGE (ElectroDextroGramExam). The EDGE model derives analogies from the gait analysis and the ECG (ElectroCardioGram). By dividing each cycle of a repetitive task into discrete phases, we can better understand the differences between the motion characteristics of a novice versus an expert surgeon. This would help in providing a meaningful feedback to the learners for improving their manual skills.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2016 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Sharma, Pankaj |
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Associated with | Stanford University, Department of Electrical Engineering. |
Primary advisor | Srivastava, Sakti |
Thesis advisor | Srivastava, Sakti |
Thesis advisor | Nishimura, Dwight George |
Thesis advisor | Shenoy, Krishna V. (Krishna Vaughn) |
Advisor | Nishimura, Dwight George |
Advisor | Shenoy, Krishna V. (Krishna Vaughn) |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Pankaj Sharma. |
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Note | Submitted to the Department of Electrical Engineering. |
Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Pankaj Sharma
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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