Simultaneous validation of wearable motion capture system for lower body applications: Over single plane range of motion (ROM) and gait activities

S Mihcin - Biomedical Engineering/Biomedizinische Technik, 2022 - degruyter.com
Biomedical Engineering/Biomedizinische Technik, 2022degruyter.com
Abstract Extracting data from {Zhu, 2019# 5} daily life activities is important in biomechanical
applications to define exact boundary conditions for the intended use-based applications.
Although optoelectronic camera-marker based systems are used as gold standard tools for
medical applications, due to line-of-sight problem, there is a need for wearable, affordable
motion capture (MOCAP) systems. We investigate the potential use of a wearable inertial
measurement unit (IMU) based-wearable MOCAP system for biomechanical applications …
Abstract
Extracting data from {Zhu, 2019# 5} daily life activities is important in biomechanical applications to define exact boundary conditions for the intended use-based applications. Although optoelectronic camera-marker based systems are used as gold standard tools for medical applications, due to line-of-sight problem, there is a need for wearable, affordable motion capture (MOCAP) systems. We investigate the potential use of a wearable inertial measurement unit (IMU) based-wearable MOCAP system for biomechanical applications. The in vitro proof of concept is provided for the full lower body consisting of hip, knee, and ankle joints via controlled single-plane anatomical range of motion (ROM) simulations using an electrical motor, while collecting data simultaneously via opto-electronic markers and IMU sensors. On 15 healthy volunteers the flexion-extension, abduction-adduction, internal-external rotation (ROM) values of hip and, the flexion–extension ROM values of the knee and ankle joints are calculated for both systems. The Bland-Altman graphs showed promising agreement both for in vitro and in vivo experiments. The maximum Root Mean Square Errors (RMSE) between the systems in vitro was 3.4 for hip and 5.9 for knee flexion motion in vivo, respectively. The gait data of the volunteers were assessed between the heel strike and toe off events to investigate the limits of agreement, calculating the population averages and standard deviation for both systems over the gait cycle. The maximum difference was for the ankle joint< 6. The results show that proposed system could be an option as an affordable-democratic solution.
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