Development and Testing of a Data Collection Methodology for Compiling a Normative Database of Biomechanical Parameters of Human Motor Activity

Introduction. The determination of normative ranges for the biomechanical parameters of human motor activity is a relevant task for disorder diagnostics, orthopedic treatment planning, rehabilitation monitoring, and development of assistive devices. The creation of such a database requires a validated methodology for data collection and analysis.
Aim. To develop and test a methodology for collecting and analyzing the biomechanical parameters of fundamental motor activities (walking, squats, lunges, torso bends) using modern motion capture systems with the purpose of compiling a normative database of spatiotemporal, angular, and electromyographic (EMG) characteristics.
Materials and methods. The Qualisys motion capture system (kinematics), Kistler force plates (kinetics), and the Delsys Trigno EMG system (activity of key lower limb muscles) were used. Data was collected from eight healthy volunteers in a laboratory setting following a standard protocol. Preprocessing included marker trajectory interpolation, EMG signal smoothing, and outlier removal (based on IQR). Normative ranges (±1 SD) were calculated based on mean values and standard deviations.
Results. A methodology for collecting biomechanical data for four types of motor activity (walking, squats, lunges, torso bends) was developed and tested. The average values and preliminary normative ranges for spatiotemporal, angular, and EMG parameters were obtained, reflecting characteristic movement patterns and muscle activation in healthy individuals. According to the results obtained, the proposed methodology is effective for comprehensive collection and analysis of biomechanical data. The use of Qualisys and Delsys Trigno systems ensured accurate recording of kinematic, kinetic, and EMG movement parameters. The developed preliminary normative ranges indicate the potential of the methodology for diagnosing movement disorders, rehabilitation, and engineering design (exoskeletons, prosthetics).
Conclusion. The proposed methodology represents a reliable tool for an objective functional assessment of human motor activity. The obtained preliminary normative data serves as a foundation for further sample expansion and formation of a comprehensive database essential for clinical practice (diagnosis, treatment monitoring, rehabilitation) and engineering applications in movement correction.

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