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Image Analysis Method for Measuring Sensorimotor Function of the Hand

Palm, Lovisa LU and Engsner, Johanna LU (2024) EEML05 20241
Department of Biomedical Engineering
Abstract
Wrist fractures are a prevalent injury in Sweden. While most patients recover within a year, approximately 5000 patients a year experience significant long-term pain and impaired wrist function. Current rehabilitation methods lack the capacity to objectively measure post-fracture wrist function. Proprioception, the awareness of the body in space, is crucial for wrist function but remains challenging to quantify accurately. This study builds upon previous work to develop an image analysis technique using a handheld laser pointer for objective assessment of wrist proprioception. Letting patients use a laser pointer to trace straight lines has shown promise in assessing proprioception. By capturing a patient performing this task on video and... (More)
Wrist fractures are a prevalent injury in Sweden. While most patients recover within a year, approximately 5000 patients a year experience significant long-term pain and impaired wrist function. Current rehabilitation methods lack the capacity to objectively measure post-fracture wrist function. Proprioception, the awareness of the body in space, is crucial for wrist function but remains challenging to quantify accurately. This study builds upon previous work to develop an image analysis technique using a handheld laser pointer for objective assessment of wrist proprioception. Letting patients use a laser pointer to trace straight lines has shown promise in assessing proprioception. By capturing a patient performing this task on video and using a MATLAB algorithm to analyze it, an objective measure of how accurately the line was followed can be obtained. This method differs from the ones in previous studies in several ways. It does not only take into consideration how much time the patient spent accurately following the line, but also how far the patient deviated from it. By dividing the pattern into zones based on their distance from the line, the program can calculate the duration the laser dot spends in the different zones. Furthermore, the method is more user-friendly and time-efficient. However, the algorithm's effectiveness has been difficult to validate. Thus, it could be used for future studies but is currently not suitable for a clinical setting. The project was performed at LTH Campus and at Smärtrehabilitering, Skåne University Hospital. (Less)
Please use this url to cite or link to this publication:
author
Palm, Lovisa LU and Engsner, Johanna LU
supervisor
organization
alternative title
Bildanalytisk metodutveckling för mätning av handens sensomotoriska funktion
course
EEML05 20241
year
type
M2 - Bachelor Degree
subject
language
English
id
9159504
date added to LUP
2024-06-20 13:08:03
date last changed
2024-06-20 13:08:03
@misc{9159504,
  abstract     = {{Wrist fractures are a prevalent injury in Sweden. While most patients recover within a year, approximately 5000 patients a year experience significant long-term pain and impaired wrist function. Current rehabilitation methods lack the capacity to objectively measure post-fracture wrist function. Proprioception, the awareness of the body in space, is crucial for wrist function but remains challenging to quantify accurately. This study builds upon previous work to develop an image analysis technique using a handheld laser pointer for objective assessment of wrist proprioception. Letting patients use a laser pointer to trace straight lines has shown promise in assessing proprioception. By capturing a patient performing this task on video and using a MATLAB algorithm to analyze it, an objective measure of how accurately the line was followed can be obtained. This method differs from the ones in previous studies in several ways. It does not only take into consideration how much time the patient spent accurately following the line, but also how far the patient deviated from it. By dividing the pattern into zones based on their distance from the line, the program can calculate the duration the laser dot spends in the different zones. Furthermore, the method is more user-friendly and time-efficient. However, the algorithm's effectiveness has been difficult to validate. Thus, it could be used for future studies but is currently not suitable for a clinical setting. The project was performed at LTH Campus and at Smärtrehabilitering, Skåne University Hospital.}},
  author       = {{Palm, Lovisa and Engsner, Johanna}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Image Analysis Method for Measuring Sensorimotor Function of the Hand}},
  year         = {{2024}},
}