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Precision Grip Control In SubAcute Stroke Patients
This project focuses on the analysis of data recorded on subacute stroke patients to assess their ability in grip control
Keywords: Data Analysis, Stroke, Upper Limb, Assessment
Instrumented objects and multi-purpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A major limitation of these devices, however, is the extent to which the experimenter can vary the interaction dynamics to fully probe sensorimotor control mechanisms. We propose a novel method to study precision grip control using a grounded robotic gripper with two moving, mechanically coupled finger pads instrumented with force sensors.
The device is capable of stably rendering virtual mechanical properties with a wide dynamic range of achievable impedances.
Eight viscoelastic force fields with different combinations of stiffness and damping parameters were implemented, and tested on 27 subacute stroke subjects, performing 30 consecutive repetitions of a
grasp, hold and release task with time and position constraints.
Instrumented objects and multi-purpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A major limitation of these devices, however, is the extent to which the experimenter can vary the interaction dynamics to fully probe sensorimotor control mechanisms. We propose a novel method to study precision grip control using a grounded robotic gripper with two moving, mechanically coupled finger pads instrumented with force sensors. The device is capable of stably rendering virtual mechanical properties with a wide dynamic range of achievable impedances. Eight viscoelastic force fields with different combinations of stiffness and damping parameters were implemented, and tested on 27 subacute stroke subjects, performing 30 consecutive repetitions of a grasp, hold and release task with time and position constraints.
The thesis aims to characterize the grasping strategies used by stroke survivors during a precise grip task early after stroke.
The thesis aims to characterize the grasping strategies used by stroke survivors during a precise grip task early after stroke.
- literature research on grasping strategies in stroke survivors (10%)
- verify the extent to which grasping force patterns correspond/differ from healthy force patterns (20%)
- study the feasibility of this assessment task in the given population (10%)
- study how subacute stroke patients adapt their precision grip force during dynamic interactions with 2 viscoelastic force fields (20%)
- verify how/if the grasping strategy evolution over time depends on the proposed viscoelastic field or other factors (e.g., stroke type, other clinical scales) (20%)
- write a report in IEEE paper format (20%)
- literature research on grasping strategies in stroke survivors (10%) - verify the extent to which grasping force patterns correspond/differ from healthy force patterns (20%) - study the feasibility of this assessment task in the given population (10%) - study how subacute stroke patients adapt their precision grip force during dynamic interactions with 2 viscoelastic force fields (20%) - verify how/if the grasping strategy evolution over time depends on the proposed viscoelastic field or other factors (e.g., stroke type, other clinical scales) (20%) - write a report in IEEE paper format (20%)
You are a student with a biomedical or mechanical engineering background with interest in data analysis and Matlab. You enjoy working in a creative and motivated environment in a responsible, systematic and autonomous manner.
You are a student with a biomedical or mechanical engineering background with interest in data analysis and Matlab. You enjoy working in a creative and motivated environment in a responsible, systematic and autonomous manner.