A Shiny App for Analyzing Gait Data From the X-Sens IMU System: Integration With SPM1D Statistical Analysis

Wai Hang Kwong, Zhexuan Gu

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review


This paper presents a Shiny app that analyzes gait data generated from the X-Sens IMU system. IMU system provide several advantages over optical motion capture, including reduced setup time and the ability to capture data in natural environments. Notably, there is currently no open-source software or platform available for analyzing gait data generated by the X-Sens IMU system, making this app a unique contribution to the field. The app provides a user-friendly interface that allows researchers and clinicians to easily visualize and analyze the data collected from patients with gait disorders. The app generates commonly used gait parameters, including gait speed, stride length, stance time, and joint angles based on the X-Sens IMU system output data. The results obtained from the app have been validated against an optical motion capture system, and a high level of agreement was observed between the two methods. Besides, the app integrated the SPM1D statistical analysis package, which allows for the comparison of patient's gait data with norm values throughout the gait cycle. The SPM1D analysis enables the identification of anomalies in patients' gait patterns rapidly.
Original languageEnglish
Publication statusAccepted/In press - 7 Jun 2023
EventR/Medicine 2023 - Virtual Conference
Duration: 5 Jun 20239 Jun 2023


ConferenceR/Medicine 2023
Internet address


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