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Development of Robotic Brace for AIS Treatment
Farhad Farhadiyadkuri
Institut for Mekanik og Produktion
Publikation
:
Typer af afhandling
›
Ph.d.-afhandling
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Keyphrases
Adolescent Idiopathic Scoliosis
100%
Robotic Brace
100%
Scoliosis Treatment
100%
Torso
63%
Digital Twin
54%
Variable Impedance Control
45%
Control Strategy
36%
Machine Learning
27%
Reinforcement Learning
27%
Learning-based
27%
Twin Learning
27%
Rigid Brace
27%
Active Brace
27%
Impedance Control
27%
Electroactive Actuator
27%
In-brace Correction
27%
Scoliosis
18%
Active Control Method
18%
Advanced Technologies
18%
Physical Systems
18%
Challenging Issues
18%
Numerical Experiments
18%
Variable Impedance
18%
X-ray Images
18%
Active Control System
18%
Regression Model
9%
Boston
9%
Harmful Effects
9%
Most Common Form
9%
Good for
9%
Online Monitoring
9%
Force Control
9%
Conservative Treatment
9%
Active Control
9%
Control Force
9%
Model Simulation
9%
Neural Network
9%
Biomechanical Behavior
9%
Human Subjects
9%
Vertebrae
9%
Nighttime
9%
Own Experience
9%
Clinical Treatment
9%
Radiation Exposure
9%
Controller
9%
Coronal Plane
9%
Closed-loop
9%
Time-varying Data
9%
Analytical Model
9%
Providence
9%
Severe Cases
9%
Position-based
9%
Robotic Applications
9%
Application Domain
9%
Contact with the Patient
9%
Taking Action
9%
Position Control
9%
Robotic Treatment
9%
Unexpected Change
9%
Data Simulation
9%
Active-active
9%
Human Torso
9%
Wear Time
9%
Passive Method
9%
Force-based Impedance Control
9%
Controller Gain
9%
TRIAC
9%
Wilmington
9%
Variable Mechanical Properties
9%
Time Process
9%
Soft Brace
9%
Curvature Correction
9%
Charleston
9%
Milwaukee
9%
Sensory Data
9%
Complicated Environments
9%
ADMAS
9%
Skin Breakdown
9%
Offline Method
9%
Actuator Control
9%
Simscape
9%
In Vivo Data
9%
SpineCor
9%
Multibody
9%
Simscape Model
9%
Human Spine
9%
Model Reference Adaptive System
9%
Engineering
Control Strategy
100%
Digital Twin
100%
Active Control
66%
Pressure Correction
50%
Reinforcement Learning
50%
Learning System
50%
Actuator
50%
Physical System
33%
Biomechanical Behavior
16%
Application Domain
16%
Closed Loop
16%
Controller Gain
16%
Position Control
16%
Harmful Effect
16%
Human Spine
16%
Taking Action
16%
Robotics Application
16%
Research Work
16%
Limitations
16%
Analytical Model
16%
Reference Model
16%
Force Control
16%
Rigidity
16%
Material Science
Digital Twin
100%
Actuator
50%
Reinforcement Learning
50%
Rigidity
16%