Development of preprocessing and statistical analysis tools in the integrated biomechanics informatics system (IBIS)

Joseph Liu; Casey Wiens; Harper E. Stewart; Peter Cordi; Mukund Sridhar; Brent J. Liu; Jill L. McNitt-Gray

doi:10.1117/12.2612472

4 April 2022 Development of preprocessing and statistical analysis tools in the integrated biomechanics informatics system (IBIS)

Joseph Liu, Casey Wiens, Harper E. Stewart, Peter Cordi, Mukund Sridhar, Brent J. Liu, Jill L. McNitt-Gray

Author Affiliations +

Proceedings Volume 12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications; 120370M (2022) https://doi.org/10.1117/12.2612472
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

The field of biomechanics integrates a variety of data types to provide meaningful feedback to athletes, coaches, and healthcare professionals to reduce injury and improve performance. These different sources of data include waveform, video, discrete, and performance metrics. An integrated biomechanics informatics system (IBIS)^1,2 has been developed to apply imaging informatics principles to the field of biomechanics. The IBIS system helps create a space for stakeholders to make informed decisions using multimodal biomechanics data. This current work details the development of two new decision support tools within the IBIS system that enhance the ability of users to effectively analyze and interpret data. These two tools include an R Shiny statistical analysis tool and an algorithm for detecting foot contact with the ground. Organizing data into SQL databases on the IBIS system provides the backend for the R Shiny analysis tools. This connection provides statistical analysis tools to review data over time and across individuals. Its integration also incorporates interactive data visualization techniques to put biomechanical data in context. A semi-automated foot contact detection algorithm was created to reduce the need for researchers to manually search through thousands of video frames to synchronize video data accurately with other information such as force data. Overall, these two improvements to the system will support researchers working to provide meaningful insight about human performance and injury prevention. These additions to the IBIS system provide quicker access to data, develop standardized pipelines, and create additional time for biomechanists to focus on interpreting results rather than data management.

Conference Presentation

Citation Download Citation

Joseph Liu, Casey Wiens, Harper E. Stewart, Peter Cordi, Mukund Sridhar, Brent J. Liu, and Jill L. McNitt-Gray "Development of preprocessing and statistical analysis tools in the integrated biomechanics informatics system (IBIS)", Proc. SPIE 12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications, 120370M (4 April 2022); https://doi.org/10.1117/12.2612472

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