Sensor-based spasticity assessment system for objective and quantitative evaluation
- Title
- Sensor-based spasticity assessment system for objective and quantitative evaluation
- Alternative Title
- 객관적이고 정량적인 센서 기반의 경직 평가 시스템
- Author(s)
- Seoyoung Choi
- DGIST Authors
- Seoyoung Choi ; Sukho Park ; Jonghyun Kim
- Advisor
- 박석호
- Co-Advisor(s)
- Jonghyun Kim
- Issued Date
- 2021
- Awarded Date
- 2021/02
- Type
- Thesis
- Table Of Contents
-
Ⅰ. Introduction 1
1.1 Background 1
1.2 Modified Tardieu scale 3
1.3 Modified Ashworth scale 6
1.4 Neural torque component 8
1.5 Overview 9
II. The proposed system 12
2.1 IMU-based MTS assessment system 12
2.1.1 Required functions for MTS assessment 12
2.1.2 Joint angle calculation 24
2.1.3 Muscle reaction (catch and clonus) detection 20
2.1.4 Visual biofeedback 23
2.2 IMU-based MAS assessment system 24
2.2.1 Required functions for MAS assessment 24
2.2.2 Feature selection 24
2.2.3 Refined indices 25
2.2.4 The MAS grading decision algorithm 29
2.3 Sensor-based neural torque component estimation 32
2.3.1 Sensor-based approach 32
2.3.2 Neuromuscular model 33
III. Experimental studies 36
3.1 Experimental setup 36
3.2 iMTS system 37
3.2.1 Experimental procedure 37
3.2.2 Data analysis 40
3.2.3 Accuracy study 41
3.2.4 Reliability study 41
3.3 iMAS system 45
3.3.1 Validation study 45
3.3.2 Clinical trial 48
3.4 Neural torque component estimation 53
3.4.1 Experimental procedure 53
3.4.2 Data analysis 54
3.4.3 Neural torque component reconstruction 54
VI. Discussion and Conclusion 59
- URI
-
http://dgist.dcollection.net/common/orgView/200000365014
http://hdl.handle.net/20.500.11750/16712
- Degree
- Doctor
- Department
- Robotics Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Park, Sukho
- Research Interests Biomedical Micro/Nano Robotics; Biomedical Devices and Instruments
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Robotics and Mechatronics Engineering Theses Ph.D.
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