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Initial study on an expert system for spine diseases screening using inertial measurement unit
Mariusz Pelc1,2, Radana Vilimkova Kahankova3, Monika Blaszczyszyn4
1Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland. m.pelc@po.edu.pl.
Scientific Reports
|June 27, 2023
Summary
This study explores using inertial measurement units for spine disease screening, offering a cost-effective alternative to expensive imaging. The focus is on detecting sagittal imbalance, improving accessibility for posture assessment.
Area of Science:
- Biomedical Engineering
- Orthopedics
- Medical Imaging
Background:
- Spine diseases are a growing concern requiring rapid diagnosis and treatment.
- Current diagnostic methods like X-ray, CT, and MRI are effective but invasive, costly, and have contraindications.
- These limitations hinder their use in widespread screening programs for conditions like bad posture.
Purpose of the Study:
- To evaluate an alternative, non-invasive, and cost-effective approach for spine disease diagnosis and screening.
- To introduce policy-based computing as a core for inference systems in spine diagnostics.
- To focus initial efforts on the detection of sagittal imbalance.
Main Methods:
- Utilizing inertial measurement units (IMUs) for spine disease assessment.
- Implementing policy-based computing for data analysis and inference.
- Initial application focused on identifying sagittal imbalance.
Main Results:
- Presents an initial evaluation of the proposed alternative diagnostic/screening methodology.
- Demonstrates the potential of IMUs and policy-based computing for spine assessment.
- Highlights the feasibility of a more accessible approach compared to traditional imaging.
Conclusions:
- The proposed method using inertial measurement units offers a promising alternative for spine disease screening.
- Policy-based computing provides a robust framework for the inference systems.
- This approach has the potential to significantly reduce costs and improve accessibility for early detection of spinal conditions, particularly sagittal imbalance.
