Title

Sensor-based spasticity assessment system for objective and quantitative evaluation

Alternative Title

객관적이고 정량적인 센서 기반의 경직 평가 시스템

DGIST Authors

Seoyoung Choi ; Sukho Park ; Jonghyun Kim

Advisor

박석호

Co-Advisor(s)

Jonghyun Kim

Issued Date

2021

Awarded Date

2021/02

Citation

Seoyoung Choi. (2021). Sensor-based spasticity assessment system for objective and quantitative evaluation. doi: 10.22677/thesis.200000365014

Type

Thesis

Subject

Spasticity, IMU sensor, EMG sensor, spasticity assessment, neuromuscular model, joint angle calculation, neural torque component, objective, quantitative, reliability, 경직, 평가, 객관적, 정량적, 관성센서, 근전도 센서

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

DOI

10.22677/thesis.200000365014

Degree

Doctor

Department

Robotics Engineering

Publisher

DGIST

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